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<front>
<journal-meta>
<journal-id journal-id-type="publisher-id">Front. Microbiol.</journal-id>
<journal-title>Frontiers in Microbiology</journal-title>
<abbrev-journal-title abbrev-type="pubmed">Front. Microbiol.</abbrev-journal-title>
<issn pub-type="epub">1664-302X</issn>
<publisher>
<publisher-name>Frontiers Media S.A.</publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id pub-id-type="doi">10.3389/fmicb.2023.1200108</article-id>
<article-categories>
<subj-group subj-group-type="heading">
<subject>Microbiology</subject>
<subj-group>
<subject>Review</subject>
</subj-group>
</subj-group>
</article-categories>
<title-group>
<article-title>Ketoprofen as an emerging contaminant: occurrence, ecotoxicity and (bio)removal</article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author" corresp="yes">
<name>
<surname>Tyumina</surname>
<given-names>Elena</given-names>
</name>
<xref rid="aff1" ref-type="aff"><sup>1</sup></xref>
<xref rid="aff2" ref-type="aff"><sup>2</sup></xref>
<xref rid="c001" ref-type="corresp"><sup>&#x002A;</sup></xref>
<uri xlink:href="https://loop.frontiersin.org/people/528354/overview"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Subbotina</surname>
<given-names>Maria</given-names>
</name>
<xref rid="aff1" ref-type="aff"><sup>1</sup></xref>
<xref rid="aff2" ref-type="aff"><sup>2</sup></xref>
<uri xlink:href="https://loop.frontiersin.org/people/2270468/overview"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Polygalov</surname>
<given-names>Maxim</given-names>
</name>
<xref rid="aff1" ref-type="aff"><sup>1</sup></xref>
<xref rid="aff2" ref-type="aff"><sup>2</sup></xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Tyan</surname>
<given-names>Semyon</given-names>
</name>
<xref rid="aff1" ref-type="aff"><sup>1</sup></xref>
<xref rid="aff2" ref-type="aff"><sup>2</sup></xref>
<uri xlink:href="https://loop.frontiersin.org/people/2334044/overview"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Ivshina</surname>
<given-names>Irina</given-names>
</name>
<xref rid="aff1" ref-type="aff"><sup>1</sup></xref>
<xref rid="aff2" ref-type="aff"><sup>2</sup></xref>
<uri xlink:href="https://loop.frontiersin.org/people/1859522/overview"/>
</contrib>
</contrib-group>
<aff id="aff1"><sup>1</sup><institution>Perm Federal Research Center of the Ural Branch of the Russian Academy of Sciences</institution>, <addr-line>Perm</addr-line>, <country>Russia</country></aff>
<aff id="aff2"><sup>2</sup><institution>Microbiology and Immunology Department, Perm State University</institution>, <addr-line>Perm</addr-line>, <country>Russia</country></aff>
<author-notes>
<fn fn-type="edited-by" id="fn0001">
<p>Edited by: Eric Altermann, Massey University, New Zealand</p>
</fn>
<fn fn-type="edited-by" id="fn0002">
<p>Reviewed by: Cristina Quintelas, University of Minho, Portugal; M. Kamaraj, SRM Institute of Science and Technology, India</p>
</fn>
<corresp id="c001">&#x002A;Correspondence: Elena Tyumina, <email>tyumina@psu.ru</email></corresp>
</author-notes>
<pub-date pub-type="epub">
<day>07</day>
<month>08</month>
<year>2023</year>
</pub-date>
<pub-date pub-type="collection">
<year>2023</year>
</pub-date>
<volume>14</volume>
<elocation-id>1200108</elocation-id>
<history>
<date date-type="received">
<day>04</day>
<month>04</month>
<year>2023</year>
</date>
<date date-type="accepted">
<day>25</day>
<month>07</month>
<year>2023</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright &#x00A9; 2023 Tyumina, Subbotina, Polygalov, Tyan and Ivshina.</copyright-statement>
<copyright-year>2023</copyright-year>
<copyright-holder>Tyumina, Subbotina, Polygalov, Tyan and Ivshina</copyright-holder>
<license xlink:href="http://creativecommons.org/licenses/by/4.0/">
<p>This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.</p>
</license>
</permissions>
<abstract>
<p>Ketoprofen, a bicyclic non-steroidal anti-inflammatory drug commonly used in human and veterinary medicine, has recently been cited as an environmental contaminant that raises concerns for ecological well-being. It poses a growing threat due to its racemic mixture, enantiomers, and transformation products, which have ecotoxicological effects on various organisms, including invertebrates, vertebrates, plants, and microorganisms. Furthermore, ketoprofen is bioaccumulated and biomagnified throughout the food chain, threatening the ecosystem function. Surprisingly, despite these concerns, ketoprofen is not currently considered a priority substance. While targeted eco-pharmacovigilance for ketoprofen has been proposed, data on ketoprofen as a pharmaceutical contaminant are limited and incomplete. This review aims to provide a comprehensive summary of the most recent findings (from 2017 to March 2023) regarding the global distribution of ketoprofen in the environment, its ecotoxicity towards aquatic animals and plants, and available removal methods. Special emphasis is placed on understanding how ketoprofen affects microorganisms that play a pivotal role in Earth&#x2019;s ecosystems. The review broadly covers various approaches to ketoprofen biodegradation, including whole-cell fungal and bacterial systems as well as enzyme biocatalysts. Additionally, it explores the potential of adsorption by algae and phytoremediation for removing ketoprofen. This review will be of interest to a wide range of readers, including ecologists, microbiologists, policymakers, and those concerned about pharmaceutical pollution.</p>
</abstract>
<kwd-group>
<kwd>pharmaceutical pollution</kwd>
<kwd>nonsteroidal anti-inflammatory drugs (NSAIDs)</kwd>
<kwd>ketoprofen</kwd>
<kwd>bioremediation</kwd>
<kwd>environmental effects</kwd>
</kwd-group>
<contract-num rid="cn1">21-14-00132</contract-num>
<contract-sponsor id="cn1">Russian Science Foundation<named-content content-type="fundref-id">10.13039/501100006769</named-content></contract-sponsor>
<counts>
<fig-count count="2"/>
<table-count count="2"/>
<equation-count count="0"/>
<ref-count count="245"/>
<page-count count="22"/>
<word-count count="19179"/>
</counts>
<custom-meta-wrap>
<custom-meta>
<meta-name>section-at-acceptance</meta-name>
<meta-value>Microbiotechnology</meta-value>
</custom-meta>
</custom-meta-wrap>
</article-meta>
</front>
<body>
<sec sec-type="intro" id="sec1">
<label>1.</label>
<title>Introduction</title>
<p>Pharmaceuticals were initially developed to promote and maintain human and animal health. However, they have increasingly become a mixed blessing, posing significant challenges to achieving sustainable development goals and presenting a real threat to both humanity and the environment globally (<xref ref-type="bibr" rid="ref27">Boxall, 2004</xref>; <xref ref-type="bibr" rid="ref12">Arnold et al., 2014</xref>; <xref ref-type="bibr" rid="ref138">Miettinen and Khan, 2022</xref>; <xref ref-type="bibr" rid="ref230">Wilkinson et al., 2022</xref>). In the late 1990s, pharmaceuticals were recognized as contaminants of emerging concern. This group encompasses surfactants, pesticides, (nano)metals, detergents, plasticizers, solvents, industrial and household chemicals as well as detergent surfactants. Their ecological fate in ecosystems is not thoroughly understood or regulated (<xref ref-type="bibr" rid="ref171">Pic&#x00F3; et al., 2012</xref>).</p>
<p>Although pharmaceuticals are found in trace amounts (ng/L to &#x03BC;g/L) in aquatic and terrestrial environments, they have the potential to negatively impact flora and fauna (<xref ref-type="bibr" rid="ref67">Gavrilescu et al., 2015</xref>; <xref ref-type="bibr" rid="ref231">Wilkinson et al., 2016</xref>; <xref ref-type="bibr" rid="ref201">Sonne et al., 2021</xref>; <xref ref-type="bibr" rid="ref84">Hejna et al., 2022</xref>; <xref ref-type="bibr" rid="ref110">Khan et al., 2022</xref>). Furthermore, the continuous discharge of pharmaceuticals can lead to high cumulative concentrations, and the simultaneous coexistence of multiple contaminants in the environment can amplify their toxic effects, creating a more dangerous mixture compared to individual pollutants present alone (<xref ref-type="bibr" rid="ref70">Godoy and Kummrow, 2017</xref>; <xref ref-type="bibr" rid="ref104">Kafaei et al., 2018</xref>; <xref ref-type="bibr" rid="ref72">Grabarczyk et al., 2020</xref>; <xref ref-type="bibr" rid="ref177">Ram&#x00ED;rez-Morales et al., 2020</xref>).</p>
<p>Pharmaceutical pollutants are antidepressants, hormones, antimicrobial and antidiabetic agents, analgesics, and nonsteroidal anti-inflammatory drugs (NSAIDs) (<xref ref-type="bibr" rid="ref14">Aus der Beek et al., 2016</xref>; <xref ref-type="bibr" rid="ref56">Ebele et al., 2017</xref>; <xref ref-type="bibr" rid="ref111">Khan et al., 2020</xref>; <xref ref-type="bibr" rid="ref230">Wilkinson et al., 2022</xref>). NSAIDs, a class of non-opioid drugs with analgesic, antipyretic, and anti-inflammatory properties, are commonly used to address both acute and chronic pains associated with inflammatory conditions (<xref ref-type="bibr" rid="ref159">Panchal and Prince Sabina, 2023</xref>). Recently, NSAIDs such as diclofenac, ibuprofen, and naproxen have gained attention due to their widespread presence in the environment, potential ecotoxicity, and the development of removal techniques (<xref ref-type="bibr" rid="ref131">Mej&#x00ED;a-Garc&#x00ED;a et al., 2020</xref>; <xref ref-type="bibr" rid="ref216">Tyumina et al., 2020</xref>; <xref ref-type="bibr" rid="ref233">Wojcieszy&#x0144;ska and Guzik, 2020</xref>; <xref ref-type="bibr" rid="ref98">Jan-Roblero and Cruz-Maya, 2023</xref>). Ketoprofen (KTP), another common NSAID found in ecosystems, has also been identified as a potential concern, requiring targeted eco-pharmacovigilance (<xref ref-type="bibr" rid="ref228">Wang et al., 2018</xref>). KTP (CAS # 22071-15-4; C<sub>16</sub>H<sub>14</sub>O<sub>3</sub>; 2-(3-benzoylphenyl)propanoic acid) is a bicyclic NSAID with a significant volume of its production, sales, and consumption in human and veterinary medicine due to its pronounced prolonged anti-inflammatory, analgesic, and antipyretic effects.</p>
<p><xref ref-type="bibr" rid="ref228">Wang et al. (2018)</xref> conducted an exhaustive review based on 85 publications from 2010 to 2017, confirming the status of KTP as a pharmaceutical pollutant of significant environmental risks, with a hazard quotient greater than 1.0 for certain ecosystems. The authors proposed several measures to reduce the amount of KTP entering the environment, including thorough monitoring of its presence, reducing the use of KTP-containing drugs in veterinary medicine, and source control. Additionally, there is a pressing need to develop a comprehensive framework for targeted eco-pharmacovigilance, which should imply an interdisciplinary approach, including ecotoxicological and biomonitoring studies. By incorporating different types of interdisciplinary approaches, we can deeepen our understanding of the ecological impact of pharmaceuticals and establish robust strategies for monitoring and mitigating their effects on the environment.</p>
<p>Biomonitoring studies focused on microbial communities are of particular importance because microorganisms (bacteria, archaea, protists, fungi, and microalgae) play a vital role in the functioning of the biosphere (<xref ref-type="bibr" rid="ref192">Sagova-Mareckova et al., 2021</xref>). However, the study of their responses to the presence of emerging contaminants and pharmaceutical pollutants in particular is often overlooked. It is crucial to pay closer attention to taxonomic rearrangements in microbial communities, metabolic changes in microbial cells, pathogenicity spread, antibiotic resistance as well as changes in the function of environmentally significant microorganisms in ecosystems exposed to pharmaceuticals. This will ultimately deepen our knowledge of the ecological fate of pharmaceutical pollutants and shed light on the processes by which they undergo transformations (<xref ref-type="bibr" rid="ref71">Gomes et al., 2020</xref>; <xref ref-type="bibr" rid="ref42">Crampon et al., 2021</xref>; <xref ref-type="bibr" rid="ref130">McLain et al., 2022</xref>; <xref ref-type="bibr" rid="ref227">Wang et al., 2022</xref>). In this regard, the studies of stress-tolerant microorganisms have attracted attention because they possess the potential to biodegrade numerous xenobiotics and pharmaceutical pollutants and contribute to current water treatment technologies (<xref ref-type="bibr" rid="ref5">AlKaabi et al., 2020</xref>; <xref ref-type="bibr" rid="ref166">P&#x00E1;tek et al., 2021</xref>; <xref ref-type="bibr" rid="ref197">Shylla et al., 2021</xref>; <xref ref-type="bibr" rid="ref28">Bravo and Braissant, 2022</xref>; <xref ref-type="bibr" rid="ref93">Ivshina et al., 2022</xref>). Furthermore, research on stress-tolerant microorganisms addresses fundamental issues related to pharmaceutical metabolism and the protective mechanisms activated in microbial cells upon exposure.</p>
<p>In this comprehensive review, we gathered and analyzed the most up-to-date information available (from 2017 to March 2023) regarding the detection of KTP in various environments, its ecotoxicity towards animals, plants, and microorganisms as well as different approaches for KTP decomposition. Throughout the review, special attention was given to the bioremoval of KTP, considering the roles of bacteria, fungi, enzymes, algae, and plants in the degradation and removal processes. By synthesizing the current knowledge on detection, ecotoxicity, and various removal approaches of KTP, this review provides valuable insights into the environmental impact of KTP and promising strategies for its remediation. The information was gathered through searches conducted on Google Scholar, Scopus, and Web of Science databases.</p>
</sec>
<sec id="sec2">
<label>2.</label>
<title>Occurrence of ketoprofen in the environment</title>
<sec id="sec3">
<label>2.1.</label>
<title>Factors contributing to the entry of ketoprofen into aquatic ecosystems</title>
<p>Over the past century, global use of water resources has increased sixfold due to population growth, economic development, and changing consumption patterns (<xref ref-type="bibr" rid="ref217">UNESCO and UN-Water, 2020</xref>). Consequently, preserving water resources, referred to as the &#x201C;blue gold&#x201D; and a vital component of sustainable development, is widely recognized as essential. However, pharmaceutical pollution poses a significant threat to aquatic ecosystems and hinders progress towards at least 12 of the 17 Sustainable Development Goals (<xref ref-type="bibr" rid="ref54">Domingo-Echaburu et al., 2021</xref>). To address this issue, the establishment of organizations monitoring pharmaceuticals in nature is urgently needed. Initiatives have emerged in several countries to introduce Environmental Risk Assessment (ERA) for pharmaceuticals (<xref ref-type="bibr" rid="ref101">Jose et al., 2020</xref>) and to establish targeted eco-pharmacovigilance for selected pharmaceutical compounds including KTP (<xref ref-type="bibr" rid="ref228">Wang et al., 2018</xref>). Below are the factors that determine the entry of KTP into the environment, primarily into aquatic ecosystems.</p>
<p>KTP is ubiquitously used in both human and veterinary medicine for treating pain, inflammation, and fever. KTP is weakly selective for cyclooxygenase isoenzymes (COX-1). The role of COX is to catalyze the formation of prostaglandins from arachidonic acid, which is released from membrane phospholipids upon activation of phospholipase A2 under various stimuli such as inflammatory, physical, chemical, and mitogenic conditions (<xref ref-type="bibr" rid="ref212">Tomi&#x0107; et al., 2017</xref>). Consequently, KTP is prescribed for treating musculoskeletal disorders, including osteoarthritis and rheumatoid arthritis, and other conditions that cause pain and inflammation. It is also used to relieve mild to moderate pain, such as headaches, dental pain, menstrual cramps, and postoperative pain. In veterinary practice, KTP is used to reduce fever and inflammation in cattle (<xref ref-type="bibr" rid="ref49">De Koster et al., 2022</xref>), postoperative rehabilitation of dogs (<xref ref-type="bibr" rid="ref145">Monteiro et al., 2019</xref>; <xref ref-type="bibr" rid="ref181">Ravuri et al., 2022</xref>), and even to treat injured sea turtles (<xref ref-type="bibr" rid="ref81">Harms et al., 2021</xref>). Research is ongoing to study the efficacy of KTP for treating other animal species, leading to a wider application range of this drug (<xref ref-type="bibr" rid="ref88">Hu et al., 2021</xref>; <xref ref-type="bibr" rid="ref183">Reynolds et al., 2021</xref>). In addition, the drug is being studied for its use as a safe alternative to opioid analgesics (<xref ref-type="bibr" rid="ref53">Doleman et al., 2021</xref>; <xref ref-type="bibr" rid="ref86">Herzig et al., 2021</xref>; <xref ref-type="bibr" rid="ref168">Pergolizzi et al., 2021</xref>). Thus, the volumes of production and consumption of KTP will only increase in the future. This is also facilitated by some stagnation of the pharmaceutical industry and drug shortages (<xref ref-type="bibr" rid="ref195">Sharma et al., 2022</xref>). Thus, maintaining population health and extending healthy life expectancy is achieved by increasing the production and distribution of existing medications to the population (<xref ref-type="bibr" rid="ref136">Mezzelani et al., 2018</xref>; <xref ref-type="bibr" rid="ref90">Iijima et al., 2021</xref>; <xref ref-type="bibr" rid="ref121">Locherty et al., 2021</xref>; <xref ref-type="bibr" rid="ref63">Firdous et al., 2022</xref>).</p>
<p>Another factor to consider is the low rate of KTP decomposition and the inadequate efficiency of sewage treatment plants (<xref ref-type="bibr" rid="ref103">Jureczko and Przysta&#x015B;, 2018</xref>), resulting in the accumulation of KTP primarily in aquatic ecosystems (<xref ref-type="bibr" rid="ref40">Chavoshani et al., 2020</xref>; <xref ref-type="bibr" rid="ref163">Parolini, 2020</xref>; <xref ref-type="bibr" rid="ref132">Mej&#x00ED;as et al., 2021</xref>; <xref ref-type="bibr" rid="ref180">Rastogi et al., 2021</xref>). KTP tends to accumulate in wastewater, especially hospital wastewater, due to its excretion from humans and animals in the form of metabolites, with only 1% of KTP being excreted unchanged (<xref ref-type="bibr" rid="ref113">Kotwani et al., 2021</xref>). Moreover, there is a lack of sufficient methods for the proper removal, storage, and disposal of expired or unused KTP. Frequently, pharmaceuticals are flushed down the drain or disposed of in solid waste landfills because they are expired or no longer needed (<xref ref-type="bibr" rid="ref112">Kleywegt et al., 2019</xref>; <xref ref-type="bibr" rid="ref169">Petrie and Camacho-Mu&#x00F1;oz, 2021</xref>; <xref ref-type="bibr" rid="ref190">Rogowska and Zimmermann, 2022</xref>). Once KTP enters wastewater treatment plants (WWTPs), it can migrate into surface and groundwater because of poorly developed micropollutant removal technologies (<xref ref-type="bibr" rid="ref8">Almeida et al., 2020</xref>; <xref ref-type="bibr" rid="ref180">Rastogi et al., 2021</xref>).</p>
<p>In today&#x2019;s world, the COVID-19 pandemic has also become a factor promoting a dramatic increase in NSAID concentrations in the environment. The efficacy of NSAIDs in alleviating pain and mitigating inflammatory symptoms associated with coronavirus disease 2019 has been a subject of considerable scientific investigation. Moreover, thorough assessments were conducted to assess the risks associated with the utilization of NSAIDs for this particular condition (<xref ref-type="bibr" rid="ref44">Cumhur Cure et al., 2020</xref>; <xref ref-type="bibr" rid="ref187">Robb et al., 2020</xref>; <xref ref-type="bibr" rid="ref106">Kelleni, 2021</xref>). Certain NSAIDs proved to be effective in relieving COVID-19 symptoms without causing harm, but the long-term effects of taking anti-inflammatory drugs in conjunction with a viral infection remain unclear (<xref ref-type="bibr" rid="ref243">Zhou et al., 2022</xref>). As a result of the global use of medications during the pandemic since the end of 2019, the detection of NSAIDs in aquatic systems has increased worldwide, with their concentrations ranging from a few nanograms to hundreds of micrograms per liter (<xref ref-type="bibr" rid="ref234">Wojcieszy&#x0144;ska et al., 2022</xref>).</p>
</sec>
<sec id="sec4">
<label>2.2.</label>
<title>Detection of ketoprofen in different regions</title>
<p>KTP has been detected in surface water (rivers, lakes, seas, oceans), wastewater (municipal, hospital, industrial), groundwater, and drinking water sources in over 30 countries worldwide (<xref rid="tab1" ref-type="table">Table 1</xref>). Its global occurrence is evident, since trace amounts of KTP have been found in seawater in Antarctica (<xref ref-type="bibr" rid="ref210">Szopi&#x0144;ska et al., 2022</xref>). KTP concentrations are measured in the range of 0.16&#x2009;ng/L (Italy, Turin, groundwater) to 260&#x2009;&#x03BC;g/L (India, influent wastewater), with the highest concentration observed in India, where KTP is available over-the-counter. India, a major hub for drug manufacturing, also contributes to pharmaceutical waste discharge into aquatic ecosystems, with only 31% of wastewater undergoing pre-treatment (<xref ref-type="bibr" rid="ref170">Philip et al., 2018</xref>; <xref ref-type="bibr" rid="ref173">Praveenkumarreddy et al., 2021</xref>). In Africa, screening of KTP in water has only been conducted in South Africa (<xref rid="SM1" ref-type="supplementary-material">Supplementary Figure S1</xref>), leaving the extent of KTP contamination across most of the continent unknown (<xref ref-type="bibr" rid="ref221">Waleng and Nomngongo, 2022</xref>). Similarly, limited research has been carried out in Australia regarding the detection of KTP: only a few sporadic investigations have been conducted so far (<xref ref-type="bibr" rid="ref207">&#x015A;wiacka et al., 2022</xref>). The scarce data about these continents may be attributed to their predominantly arid landscapes, which receive less attention in terms of KTP detection studies. The focus of drug detection has primarily been on aquatic ecosystems, where the occurrence of KTP has been extensively investigated.</p>
<table-wrap position="float" id="tab1">
<label>Table 1</label>
<caption>
<p>Measured environmental concentrations (MECs) of ketoprofen in various aquatic ecosystems.</p>
</caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th align="left" valign="top">Region</th>
<th align="left" valign="top">Sample location</th>
<th align="center" valign="top">MEC, ng/L</th>
<th align="left" valign="top">Reference</th>
</tr>
</thead>
<tbody>
<tr>
<td align="left" valign="top"><bold>Algeria</bold>: El-Harrach valley</td>
<td align="left" valign="top">Surface water</td>
<td align="center" valign="top">&#x003C;MDL</td>
<td align="left" valign="top" rowspan="6">
<xref ref-type="bibr" rid="ref107">Kermia et al. (2016)</xref>
</td>
</tr>
<tr>
<td align="left" valign="top" rowspan="2">WWTP (Beni Messous)</td>
<td align="left" valign="top">Influent wastewater</td>
<td align="center" valign="top">565.2</td>
</tr>
<tr>
<td align="left" valign="top">Effluent wastewater <sup>MB</sup></td>
<td align="center" valign="top">1,034.5</td>
</tr>
<tr>
<td align="left" valign="top" rowspan="2">WWTP (Reghaia)</td>
<td align="left" valign="top">Influent wastewater</td>
<td align="center" valign="top">&#x003C;MDL</td>
</tr>
<tr>
<td align="left" valign="top">Effluent wastewater <sup>MB</sup></td>
<td align="center" valign="top">&#x003C;MDL</td>
</tr>
<tr>
<td align="left" valign="top">USTHB University</td>
<td align="left" valign="top">Drinking water</td>
<td align="center" valign="top">273</td>
</tr>
<tr>
<td align="left" valign="top"><bold>Antarctica</bold>: Admiralty Bay</td>
<td align="left" valign="top">Seawater</td>
<td align="center" valign="top">10&#x2013;16.6</td>
<td align="left" valign="top">
<xref ref-type="bibr" rid="ref210">Szopi&#x0144;ska et al. (2022)</xref>
</td>
</tr>
<tr>
<td align="left" valign="top" rowspan="3"><bold>Australia</bold>: Bega Valley</td>
<td align="left" valign="top">Influent wastewater</td>
<td align="center" valign="top">24&#x2013;15,300</td>
<td align="left" valign="top" rowspan="3">
<xref ref-type="bibr" rid="ref169">Petrie and Camacho-Mu&#x00F1;oz (2021)</xref>
</td>
</tr>
<tr>
<td align="left" valign="top">Effluent wastewater <sup>MBR</sup></td>
<td align="center" valign="top">1&#x2013;6</td>
</tr>
<tr>
<td align="left" valign="top">Effluent wastewater <sup>AS</sup></td>
<td align="center" valign="top">24&#x2013;177</td>
</tr>
<tr>
<td align="left" valign="top"><bold>Brazil</bold>: Igua&#x00E7;u River</td>
<td align="left" valign="top" rowspan="2">Surface water</td>
<td align="center" valign="top">17&#x2013;620</td>
<td align="left" valign="top" rowspan="2">
<xref rid="ref39" ref-type="bibr">Chaves et al. (2021)</xref>
</td>
</tr>
<tr>
<td align="left" valign="top">Minas Gerais</td>
<td align="center" valign="top">&#x003C;73&#x2013;1,020</td>
</tr>
<tr>
<td align="left" valign="top">River Manus</td>
<td align="left" valign="top" rowspan="3">Surface water</td>
<td align="center" valign="top">14,215</td>
<td align="left" valign="top" rowspan="3">
<xref ref-type="bibr" rid="ref185">Rico et al. (2021)</xref>
</td>
</tr>
<tr>
<td align="left" valign="top">River Macapa</td>
<td align="center" valign="top">&#x003C;10&#x2013;42</td>
</tr>
<tr>
<td align="left" valign="top">River Belem</td>
<td align="center" valign="top">&#x003C;10&#x2013;69</td>
</tr>
<tr>
<td align="left" valign="top"><bold>Canada</bold>: The province of Ontario</td>
<td align="left" valign="top">Influent wastewater (after funeral homes)</td>
<td align="center" valign="top">56&#x2013;900</td>
<td align="left" valign="top">
<xref ref-type="bibr" rid="ref112">Kleywegt et al. (2019)</xref>
</td>
</tr>
<tr>
<td align="left" valign="top" rowspan="2">The Hudson Plains ecozone and four in the Prairies ecozone in Alberta and Saskatchewan</td>
<td align="left" valign="top">Effluent wastewater</td>
<td align="center" valign="top">6.2&#x2013;77.3</td>
<td align="left" valign="top" rowspan="2">
<xref ref-type="bibr" rid="ref194">Schwartz et al. (2021)</xref>
</td>
</tr>
<tr>
<td align="left" valign="top">Drinking water</td>
<td align="center" valign="top">5.5</td>
</tr>
<tr>
<td align="left" valign="top"><bold>China</bold>: Northern Taiwan Strait</td>
<td align="left" valign="top">Seawater</td>
<td align="center" valign="top">3.68&#x2013;6.7</td>
<td align="left" valign="top">
<xref ref-type="bibr" rid="ref61">Fang et al. (2019)</xref>
</td>
</tr>
<tr>
<td align="left" valign="top" rowspan="2">Yangtze River</td>
<td align="left" valign="top">Surface water</td>
<td align="center" valign="top">12.13&#x2013;45.01</td>
<td align="left" valign="top" rowspan="2">
<xref ref-type="bibr" rid="ref100">Jiang et al. (2019)</xref>
</td>
</tr>
<tr>
<td align="left" valign="top">Effluent wastewater</td>
<td align="center" valign="top">7.32&#x2013;16.80</td>
</tr>
<tr>
<td align="left" valign="top">Guangzhou</td>
<td align="left" valign="top">Groundwater</td>
<td align="center" valign="top">3.08</td>
<td align="left" valign="top" rowspan="3">
<xref ref-type="bibr" rid="ref55">Dong et al. (2018)</xref>
</td>
</tr>
<tr>
<td align="left" valign="top">Dongguan</td>
<td align="left" valign="top">Groundwater</td>
<td align="center" valign="top">2.08</td>
</tr>
<tr>
<td align="left" valign="top">Foshan</td>
<td align="left" valign="top">Groundwater</td>
<td align="center" valign="top">0.03</td>
</tr>
<tr>
<td align="left" valign="top">Dongting Lake</td>
<td align="left" valign="top">Surface water</td>
<td align="center" valign="top">&#x003C;MDL&#x2013;11.3</td>
<td align="left" valign="top">
<xref ref-type="bibr" rid="ref226">Wang et al. (2019)</xref>
</td>
</tr>
<tr>
<td align="left" valign="top" rowspan="2"><bold>Costa Rica</bold>: San Jose Province</td>
<td align="left" valign="top">Influent wastewater</td>
<td align="center" valign="top">12,900</td>
<td align="left" valign="top" rowspan="2">
<xref ref-type="bibr" rid="ref176">Ram&#x00ED;rez-Morales et al. (2021a)</xref>
</td>
</tr>
<tr>
<td align="left" valign="top">Effluent wastewater</td>
<td align="center" valign="top">14,700</td>
</tr>
<tr>
<td align="left" valign="top" rowspan="2">Different Regions</td>
<td align="left" valign="top">Influent wastewater</td>
<td align="center" valign="top">~600 (median)</td>
<td align="left" valign="top" rowspan="2">
<xref ref-type="bibr" rid="ref177">Ram&#x00ED;rez-Morales et al. (2020)</xref>
</td>
</tr>
<tr>
<td>Effluent wastewater <sup>AS</sup></td>
<td>~400 (median)</td>
</tr>
<tr>
<td align="left" valign="top">Rivers (the Great Metropolitan Area)</td>
<td align="left" valign="top">Surface water</td>
<td align="center" valign="top">~200 (median)</td>
<td align="left" valign="top">
<xref ref-type="bibr" rid="ref178">Ram&#x00ED;rez-Morales et al. (2021b)</xref>
</td>
</tr>
<tr>
<td align="left" valign="top"><bold>Croatia</bold>: Sava River</td>
<td align="left" valign="top">Surface water</td>
<td align="center" valign="top">0.897&#x2013;52.7</td>
<td align="left" valign="top" rowspan="2">
<xref ref-type="bibr" rid="ref35">&#x010C;esen et al. (2018)</xref>
</td>
</tr>
<tr>
<td align="left" valign="top">WWTP (Zapre&#x0161;i&#x0107;, Zagreb and Velika Gorica)</td>
<td align="left" valign="top">Effluent wastewater <sup>AS</sup></td>
<td align="center" valign="top">53.8&#x2013;2,460</td>
</tr>
<tr>
<td align="left" valign="top"><bold>Czech Republic</bold>: River Elbe</td>
<td align="left" valign="top">Surface water</td>
<td align="center" valign="top">929.8</td>
<td align="left" valign="top">
<xref ref-type="bibr" rid="ref128">Marsik et al. (2017)</xref>
</td>
</tr>
<tr>
<td align="left" valign="top" rowspan="2">Water reservoir Svihov</td>
<td align="left" valign="top">Influent wastewater</td>
<td align="center" valign="top">&#x003C;10&#x2013;6,500</td>
<td align="left" valign="top" rowspan="2">
<xref ref-type="bibr" rid="ref220">Vymazal et al. (2017)</xref>
</td>
</tr>
<tr>
<td align="left" valign="top">Effluent wastewater <sup>CW</sup></td>
<td align="center" valign="top">&#x003C;10&#x2013;1,000</td>
</tr>
<tr>
<td align="left" valign="top">WWTP (Prague)</td>
<td align="left" valign="top">Effluent wastewater</td>
<td align="center" valign="top">180&#x2013;260</td>
<td align="left" valign="top">
<xref ref-type="bibr" rid="ref52">Diaz-Sosa et al. (2020)</xref>
</td>
</tr>
<tr>
<td align="left" valign="top" rowspan="2"><bold>Denmark</bold>: Wetland (Aarslev) and lake (Brabrand)</td>
<td align="left" valign="top">Surface water</td>
<td align="center" valign="top">31&#x2013;62</td>
<td align="left" valign="top" rowspan="2">
<xref ref-type="bibr" rid="ref105">Kaur et al. (2020)</xref>
</td>
</tr>
<tr>
<td align="left" valign="top">Effluent wastewate <sup>CW</sup></td>
<td align="center" valign="top">&#x003C;6</td>
</tr>
<tr>
<td align="left" valign="top" rowspan="3"><bold>Finland</bold>: WWTP (Taskila)</td>
<td align="left" valign="top">Influent wastewater</td>
<td align="center" valign="top">220&#x2013;730</td>
<td align="left" valign="top" rowspan="3">
<xref ref-type="bibr" rid="ref119">Leivisk&#x00E4; and Risteel&#x00E4; (2022)</xref>
</td>
</tr>
<tr>
<td align="left" valign="top">Effluent wastewater <sup>MBR</sup></td>
<td align="center" valign="top">110&#x2013;550</td>
</tr>
<tr>
<td align="left" valign="top">Effluent wastewater <sup>CAS</sup></td>
<td align="center" valign="top">120&#x2013;520</td>
</tr>
<tr>
<td align="left" valign="top">Kenk&#x00E4;veronniemi WWTP (Mikkeli)</td>
<td align="left" valign="top">Influent wastewater</td>
<td align="center" valign="top">130&#x2013;220</td>
<td align="left" valign="top">
<xref ref-type="bibr" rid="ref78">Gurung et al. (2019)</xref>
</td>
</tr>
<tr>
<td align="left" valign="top" rowspan="2"><bold>France</bold>: WWTP (Scientrier)</td>
<td align="left" valign="top">Hospital wastewater</td>
<td align="center" valign="top">3,600&#x2013;20,000</td>
<td align="left" valign="top" rowspan="2">
<xref ref-type="bibr" rid="ref229">Wiest et al. (2018)</xref>
</td>
</tr>
<tr>
<td align="left" valign="top">Effluent wastewater <sup>CAS</sup></td>
<td align="center" valign="top">630&#x2013;900</td>
</tr>
<tr>
<td align="left" valign="top" rowspan="2">WWTP (Seine)</td>
<td align="left" valign="top">Influent wastewater</td>
<td align="center" valign="top">1,169&#x2009;&#x00B1;&#x2009;121</td>
<td align="left" valign="top" rowspan="2">
<xref ref-type="bibr" rid="ref76">Guillossou et al. (2019)</xref>
</td>
</tr>
<tr>
<td align="left" valign="top">Effluent wastewater <sup>AC</sup></td>
<td align="center" valign="top">240&#x2009;&#x00B1;&#x2009;47</td>
</tr>
<tr>
<td align="left" valign="top" rowspan="3"><bold>Greece</bold>: WWTP (Athens)</td>
<td align="left" valign="top">Influent wastewater</td>
<td align="center" valign="top">822&#x2009;&#x00B1;&#x2009;336</td>
<td align="left" valign="top" rowspan="3">
<xref ref-type="bibr" rid="ref114">Koumaki et al. (2021)</xref>
</td>
</tr>
<tr>
<td align="left" valign="top">Effluent wastewater <sup>HRAS</sup></td>
<td align="center" valign="top">353&#x2009;&#x00B1;&#x2009;61</td>
</tr>
<tr>
<td align="left" valign="top">Effluent wastewater <sup>HRAS</sup></td>
<td align="center" valign="top">396&#x2009;&#x00B1;&#x2009;34</td>
</tr>
<tr>
<td align="left" valign="top">WWTP (Thessaloniki)</td>
<td align="left" valign="top">Effluent wastewater</td>
<td align="center" valign="top">7</td>
<td align="left" valign="top" rowspan="2">
<xref ref-type="bibr" rid="ref151">Ofrydopoulou et al. (2022)</xref>
</td>
</tr>
<tr>
<td align="left" valign="top">WWTP (Aineias)</td>
<td align="left" valign="top">Effluent wastewater</td>
<td align="center" valign="top">23</td>
</tr>
<tr>
<td align="left" valign="top" rowspan="2"><bold>India</bold>: River Ganges</td>
<td align="left" valign="top">Surface water</td>
<td align="center" valign="top">107</td>
<td align="left" valign="top" rowspan="2">
<xref ref-type="bibr" rid="ref196">Sharma et al. (2019)</xref>
</td>
</tr>
<tr>
<td align="left" valign="top">Groundwater</td>
<td align="center" valign="top">&#x003C;MDL&#x2013;23.4</td>
</tr>
<tr>
<td align="left" valign="top" rowspan="2">WWTP (Manipal)</td>
<td align="left" valign="top">Influent wastewater</td>
<td align="center" valign="top">50&#x2013;260,000</td>
<td align="left" valign="top" rowspan="7">
<xref ref-type="bibr" rid="ref173">Praveenkumarreddy et al. (2021)</xref>
</td>
</tr>
<tr>
<td align="left" valign="top">Effluent wastewater <sup>AS</sup></td>
<td align="center" valign="top">80&#x2013;1,350</td>
</tr>
<tr>
<td align="left" valign="top" rowspan="2">WWTP (Udupi)</td>
<td align="left" valign="top">Influent wastewater</td>
<td align="center" valign="top">40&#x2013;37,000</td>
</tr>
<tr>
<td align="left" valign="top">Effluent wastewater <sup>AS</sup></td>
<td align="center" valign="top">&#x003C;MDL&#x2013;2,710</td>
</tr>
<tr>
<td align="left" valign="top" rowspan="2">WWTP (Mangalore)</td>
<td align="left" valign="top">Influent wastewater</td>
<td align="center" valign="top">10&#x2013;10,500</td>
</tr>
<tr>
<td align="left" valign="top">Effluent wastewater <sup>UASBR</sup></td>
<td align="center" valign="top">&#x003C;MDL&#x2013;2,700</td>
</tr>
<tr>
<td align="left" valign="top">Gurupura River</td>
<td align="left" valign="top">Surface water</td>
<td align="center" valign="top">10&#x2013;9,090</td>
</tr>
<tr>
<td align="left" valign="top">River Ganges</td>
<td align="left" valign="top">Surface water</td>
<td align="center" valign="top">&#x003C;MDL&#x2013;245</td>
<td align="left" valign="top">
<xref ref-type="bibr" rid="ref199">Singh and Suthar (2021)</xref>
</td>
</tr>
<tr>
<td align="left" valign="top">Yamuna River</td>
<td align="left" valign="top">Surface water</td>
<td align="center" valign="top">8,070 (max)</td>
<td align="left" valign="top">
<xref ref-type="bibr" rid="ref142">Mishra et al. (2023)</xref>
</td>
</tr>
<tr>
<td align="left" valign="top"><bold>Italy</bold>: River Lambro</td>
<td align="left" valign="top">Surface water</td>
<td align="center" valign="top">0.9&#x2013;30.8</td>
<td align="left" valign="top" rowspan="3">
<xref ref-type="bibr" rid="ref32">Castiglioni et al. (2018)</xref>
</td>
</tr>
<tr>
<td align="left" valign="top" rowspan="2">WWTPs (Milan)</td>
<td align="left" valign="top">Influent wastewater</td>
<td align="center" valign="top">708&#x2013;1,924;<break/>792&#x2013;1,242;<break/>685&#x2013;1,283</td>
</tr>
<tr>
<td align="left" valign="top">Effluent wastewater</td>
<td align="center" valign="top">25&#x2013;220;<break/>13&#x2013;735;<break/>61&#x2013;316</td>
</tr>
<tr>
<td align="left" valign="top" rowspan="2">Turin</td>
<td align="left" valign="top">Groundwater</td>
<td align="center" valign="top">0.16&#x2013;152.98</td>
<td align="left" valign="top" rowspan="2">
<xref ref-type="bibr" rid="ref160">Papagiannaki et al. (2021)</xref>
</td>
</tr>
<tr>
<td align="left" valign="top">Surface water</td>
<td align="center" valign="top">0.43&#x2013;71.84</td>
</tr>
<tr>
<td align="left" valign="top" rowspan="2">Different regions</td>
<td align="left" valign="top">Influent wastewater</td>
<td align="center" valign="top">&#x003C;50&#x2013;5,150</td>
<td align="left" valign="top" rowspan="2">
<xref ref-type="bibr" rid="ref51">Di Marcantonio et al. (2023)</xref>
</td>
</tr>
<tr>
<td>Effluent wastewater</td>
<td>&#x003C;50&#x2013;2,420</td>
</tr>
<tr>
<td align="left" valign="top">Ligurian Coast</td>
<td align="left" valign="top">Seawater</td>
<td align="center" valign="top">147&#x2013;308 (mean)</td>
<td align="left" valign="top">
<xref ref-type="bibr" rid="ref22">Benedetti et al. (2022)</xref>
</td>
</tr>
<tr>
<td align="left" valign="top" rowspan="2"><bold>Japan</bold>: WWTP (Sapporo)</td>
<td align="left" valign="top">Effluent wastewater <sup>AS</sup></td>
<td align="center" valign="top">1,170</td>
<td align="left" valign="top" rowspan="2">
<xref ref-type="bibr" rid="ref80">Hara-Yamamura et al. (2022)</xref>
</td>
</tr>
<tr>
<td align="left" valign="top">Effluent wastewater <sup>MBR</sup></td>
<td align="center" valign="top">490</td>
</tr>
<tr>
<td align="left" valign="top">Rivers (different regions)</td>
<td align="left" valign="top">Surface water</td>
<td align="center" valign="top">150.1</td>
<td align="left" valign="top">
<xref ref-type="bibr" rid="ref206">Suzuki et al. (2021)</xref>
</td>
</tr>
<tr>
<td align="left" valign="top"><bold>Malaysia:</bold> Selangor state</td>
<td align="left" valign="top">Influent wastewater</td>
<td align="center" valign="top">29,400</td>
<td align="left" valign="top">
<xref ref-type="bibr" rid="ref143">Mohd Hanafiah et al. (2022)</xref>
</td>
</tr>
<tr>
<td align="left" valign="top" rowspan="2">Selangor Darul Ehsan</td>
<td align="left" valign="top">Influent wastewater</td>
<td align="center" valign="top">23,900</td>
<td align="left" valign="top" rowspan="4"><xref ref-type="bibr" rid="ref144">Mohd Hanafiah et al. (2023)</xref></td>
</tr>
<tr>
<td align="left" valign="top">Effluent wastewater</td>
<td align="center" valign="top">9,900</td>
</tr>
<tr>
<td align="left" valign="top" rowspan="2">Langat River</td>
<td align="left" valign="top">Surface water</td>
<td align="center" valign="top">10.6</td>
</tr>
<tr>
<td align="left" valign="top">Treated water</td>
<td align="center" valign="top">4.4</td>
</tr>
<tr>
<td align="left" valign="top"><bold>Mexico</bold>: Hospital in San Nicolas de los Garza</td>
<td align="left" valign="top">Hospital wastewater</td>
<td align="center" valign="top">320&#x2013;980</td>
<td align="left" valign="top">
<xref ref-type="bibr" rid="ref85">Hern&#x00E1;ndez-Tenorio et al. (2021)</xref>
</td>
</tr>
<tr>
<td align="left" valign="top">Amacuzac River</td>
<td align="left" valign="top">Surface water</td>
<td align="center" valign="top">2.5&#x2013;8.3</td>
<td align="left" valign="top" rowspan="3">
<xref ref-type="bibr" rid="ref186">Rivera-Jaimes et al. (2018)</xref>
</td>
</tr>
<tr>
<td align="left" valign="top" rowspan="2">WWTP (Acapantzingo)</td>
<td align="left" valign="top">Influent wastewater</td>
<td align="center" valign="top">23&#x2013;78</td>
</tr>
<tr>
<td align="left" valign="top">Effluent wastewater <sup>CAS</sup></td>
<td align="center" valign="top">9.2&#x2013;30</td>
</tr>
<tr>
<td align="left" valign="top"><bold>Morocco:</bold> River Bouregreg</td>
<td align="left" valign="top">Surface water</td>
<td align="center" valign="top">30&#x2013;198</td>
<td align="left" valign="top">
<xref ref-type="bibr" rid="ref36">Chafi et al. (2022)</xref>
</td>
</tr>
<tr>
<td align="left" valign="top"><bold>Pakistan</bold>: Drainage system in Lahore (Shama Drain and Cantonment Drain)</td>
<td align="left" valign="top">Effluent wastewater</td>
<td align="center" valign="top">81&#x2013;132</td>
<td align="left" valign="top">
<xref ref-type="bibr" rid="ref13">Ashfaq et al. (2019)</xref>
</td>
</tr>
<tr>
<td align="left" valign="top"><bold>Poland</bold>: Drwina River</td>
<td align="left" valign="top">Surface water</td>
<td align="center" valign="top">5&#x2013;99</td>
<td align="left" valign="top" rowspan="5">
<xref ref-type="bibr" rid="ref205">Styszko et al. (2021)</xref>
</td>
</tr>
<tr>
<td align="left" valign="top" rowspan="2">WWTP (Plaszow)</td>
<td align="left" valign="top">Influent wastewater</td>
<td align="center" valign="top">8,100&#x2009;&#x00B1;&#x2009;800</td>
</tr>
<tr>
<td align="left" valign="top">Effluent wastewater <sup>AS</sup></td>
<td align="center" valign="top">&#x003C;MDL</td>
</tr>
<tr>
<td align="left" valign="top" rowspan="2">WWTP (Kujawy)</td>
<td align="left" valign="top">Influent wastewater</td>
<td align="center" valign="top">10,700&#x2009;&#x00B1;&#x2009;7,300</td>
</tr>
<tr>
<td align="left" valign="top">Effluent wastewater <sup>AS</sup></td>
<td align="center" valign="top">&#x003C;MDL</td>
</tr>
<tr>
<td align="left" valign="top">Wierzyca River</td>
<td align="left" valign="top">Surface water</td>
<td align="center" valign="top">&#x003C;MDL&#x2013;25</td>
<td align="left" valign="top" rowspan="2">
<xref ref-type="bibr" rid="ref204">Stepnowski et al. (2020)</xref>
</td>
</tr>
<tr>
<td align="left" valign="top">Warta River</td>
<td align="left" valign="top">Surface water</td>
<td align="center" valign="top">&#x003C;MDL&#x2013;47</td>
</tr>
<tr>
<td align="left" valign="top"><bold>Portugal</bold>: Ave River</td>
<td align="left" valign="top">Surface water</td>
<td align="center" valign="top">50&#x2013;217</td>
<td align="left" valign="top" rowspan="2">
<xref ref-type="bibr" rid="ref18">Barbosa et al. (2018)</xref>
</td>
</tr>
<tr>
<td align="left" valign="top">C&#x00E9;rtima River</td>
<td align="left" valign="top">Surface water</td>
<td align="center" valign="top">702</td>
</tr>
<tr>
<td align="left" valign="top" rowspan="2">WWTP (Coimbr&#x00E3;o)</td>
<td align="left" valign="top">Influent wastewater</td>
<td align="center" valign="top">0.5&#x2013;1.6</td>
<td align="left" valign="top" rowspan="2">
<xref ref-type="bibr" rid="ref155">Pa&#x00ED;ga et al. (2019)</xref>
</td>
</tr>
<tr>
<td align="left" valign="top">Effluent wastewater <sup>AS</sup></td>
<td align="center" valign="top">0.26&#x2013;0.88</td>
</tr>
<tr>
<td align="left" valign="top">Amieira River</td>
<td align="left" valign="top">Surface water</td>
<td align="center" valign="top">27.47&#x2013;112.64</td>
<td align="left" valign="top" rowspan="4">
<xref ref-type="bibr" rid="ref157">Palma et al. (2020)</xref>
</td>
</tr>
<tr>
<td align="left" valign="top">Zebro River</td>
<td align="left" valign="top">Surface water</td>
<td align="center" valign="top">68.92&#x2013;321.40</td>
</tr>
<tr>
<td align="left" valign="top">&#x00C1;lamos River</td>
<td align="left" valign="top">Surface water</td>
<td align="center" valign="top">14.72&#x2013;38.49</td>
</tr>
<tr>
<td align="left" valign="top">Lucef&#x00E9;cit River</td>
<td align="left" valign="top">Surface water</td>
<td align="center" valign="top">12.88&#x2013;43.91</td>
</tr>
<tr>
<td align="left" valign="top"><bold>Russia</bold>: The Gulf of Finland</td>
<td align="left" valign="top">Seawater</td>
<td align="center" valign="top">1.5&#x2013;4,451.6</td>
<td align="left" valign="top" rowspan="3">
<xref ref-type="bibr" rid="ref41">Chernova et al. (2021)</xref>
</td>
</tr>
<tr>
<td align="left" valign="top" rowspan="2">WWTPs (St. Petersburg)</td>
<td align="left" valign="top">Effluent wastewater</td>
<td align="center" valign="top">756</td>
</tr>
<tr>
<td align="left" valign="top">Influent wastewater</td>
<td align="center" valign="top">267</td>
</tr>
<tr>
<td align="left" valign="top" rowspan="2"><bold>Slovenia</bold>: WWTP</td>
<td align="left" valign="top">Influent wastewater</td>
<td align="center" valign="top">0.534&#x2013;692</td>
<td align="left" valign="top" rowspan="2">
<xref ref-type="bibr" rid="ref35">&#x010C;esen et al. (2018)</xref>
</td>
</tr>
<tr>
<td align="left" valign="top">Effluent wastewater <sup>AS</sup></td>
<td align="center" valign="top">0.536&#x2013;24.3</td>
</tr>
<tr>
<td align="left" valign="top"><bold>South Africa</bold>: Msunduzi River</td>
<td align="left" valign="top">Surface water</td>
<td align="center" valign="top">&#x003C;MDL&#x2013;437</td>
<td align="left" valign="top">
<xref ref-type="bibr" rid="ref2">Agunbiade and Moodley (2016)</xref>
</td>
</tr>
<tr>
<td align="left" valign="top" rowspan="2">WWTP (Amanzimtoti)</td>
<td align="left" valign="top">Influent wastewater</td>
<td align="center" valign="top">28,400</td>
<td align="left" valign="top" rowspan="6">
<xref ref-type="bibr" rid="ref244">Zunngu et al. (2017)</xref>
</td>
</tr>
<tr>
<td align="left" valign="top">Effluent wastewater</td>
<td align="center" valign="top">3,500</td>
</tr>
<tr>
<td align="left" valign="top" rowspan="2">WWTP (Kingsburgh)</td>
<td align="left" valign="top">Influent wastewater</td>
<td align="center" valign="top">28,200</td>
</tr>
<tr>
<td align="left" valign="top">Effluent wastewater</td>
<td align="center" valign="top">3,400</td>
</tr>
<tr>
<td align="left" valign="top" rowspan="2">WWTP (Umbilo)</td>
<td align="left" valign="top">Influent wastewater</td>
<td align="center" valign="top">27,300</td>
</tr>
<tr>
<td align="left" valign="top">Effluent wastewater</td>
<td align="center" valign="top">2,900</td>
</tr>
<tr>
<td align="left" valign="top" rowspan="2">WWTP (Daspoort)</td>
<td align="left" valign="top">Influent wastewater</td>
<td align="center" valign="top">&#x003C;MDL&#x2013;23,100</td>
<td align="left" valign="top" rowspan="4">
<xref ref-type="bibr" rid="ref137">Mhuka et al. (2020)</xref>
</td>
</tr>
<tr>
<td align="left" valign="top">Effluent wastewater</td>
<td align="center" valign="top">&#x003C;MDL&#x2013;49,480</td>
</tr>
<tr>
<td align="left" valign="top" rowspan="2">Apies River</td>
<td align="left" valign="top">Upstream frequency</td>
<td align="center" valign="top">&#x003C;MDL&#x2013;8,853</td>
</tr>
<tr>
<td align="left" valign="top">Downstream frequency</td>
<td align="center" valign="top">&#x003C;MDL&#x2013;39,490</td>
</tr>
<tr>
<td align="left" valign="top" rowspan="2">WWTP (Johannesburg)</td>
<td align="left" valign="top">Influent wastewater</td>
<td align="center" valign="top">159,000</td>
<td align="left" valign="top" rowspan="3">
<xref ref-type="bibr" rid="ref3">Akawa et al. (2020)</xref>
</td>
</tr>
<tr>
<td align="left" valign="top">Effluent wastewater</td>
<td align="center" valign="top">91,100</td>
</tr>
<tr>
<td align="left" valign="top">River (Johannesburg)</td>
<td align="left" valign="top">Surface water</td>
<td align="center" valign="top">23,800</td>
</tr>
<tr>
<td align="left" valign="top">Umgeni River</td>
<td align="left" valign="top">Surface water</td>
<td align="center" valign="top">0&#x2013;9,220</td>
<td align="left" valign="top">
<xref ref-type="bibr" rid="ref77">Gumbi et al. (2017)</xref>
</td>
</tr>
<tr>
<td align="left" valign="top"><bold>Spain</bold>: Turia River</td>
<td align="left" valign="top">Surface water</td>
<td align="center" valign="top">22&#x2013;686</td>
<td align="left" valign="top">
<xref ref-type="bibr" rid="ref33">Ccanccapa-Cartagena et al. (2019)</xref>
</td>
</tr>
<tr>
<td align="left" valign="top">Tagus River</td>
<td align="left" valign="top">Surface water</td>
<td align="center" valign="top">&#x003C;1.5&#x2013;2,149</td>
<td align="left" valign="top">
<xref ref-type="bibr" rid="ref184">Rico et al. (2019)</xref>
</td>
</tr>
<tr>
<td align="left" valign="top">The Bes&#x00F2;s River Delta</td>
<td align="left" valign="top">Groundwater Surface water</td>
<td align="center" valign="top">97.7 (mean) 9.3</td>
<td align="left" valign="top">
<xref ref-type="bibr" rid="ref102">Jurado et al. (2021)</xref>
</td>
</tr>
<tr>
<td align="left" valign="top">Ebro River</td>
<td align="left" valign="top">Surface water</td>
<td align="center" valign="top">39.2</td>
<td align="left" valign="top" rowspan="2">
<xref ref-type="bibr" rid="ref34">&#x010C;eli&#x0107; et al. (2019)</xref>
</td>
</tr>
<tr>
<td align="left" valign="top">WWTPs (Amposta<sup>AS</sup> and Sant Carles de la R&#x00E0;pita <sup>CAS</sup>)</td>
<td align="left" valign="top">Effluent wastewater <sup>AS/CAS</sup></td>
<td align="center" valign="top">&#x003C;1,500</td>
</tr>
<tr>
<td align="left" valign="top">Gulf of Cadiz</td>
<td align="left" valign="top">Seawater</td>
<td align="center" valign="top">&#x003C;MDL</td>
<td align="left" valign="top" rowspan="4">
<xref ref-type="bibr" rid="ref23">Biel-Maeso et al. (2018)</xref>
</td>
</tr>
<tr>
<td align="left" valign="top" rowspan="3">Cadiz Bay</td>
<td align="left" valign="top">Seawater</td>
<td align="center" valign="top">&#x003C;MDL&#x2013;2.6</td>
</tr>
<tr>
<td align="left" valign="top">Influent wastewater</td>
<td align="center" valign="top">883&#x2013;1,118</td>
</tr>
<tr>
<td align="left" valign="top">Effluent wastewater</td>
<td align="center" valign="top">465&#x2013;505</td>
</tr>
<tr>
<td align="left" valign="top" rowspan="2">Province of C&#x00F3;rdoba (Bre&#x00F1;a dam)</td>
<td align="left" valign="top">Influent wastewater</td>
<td align="center" valign="top">88&#x2013;510</td>
<td align="left" valign="top" rowspan="2">
<xref ref-type="bibr" rid="ref169">Petrie and Camacho-Mu&#x00F1;oz (2021)</xref>
</td>
</tr>
<tr>
<td align="left" valign="top">Effluent wastewater <sup>CAS</sup></td>
<td align="center" valign="top">24&#x2013;177</td>
</tr>
<tr>
<td align="left" valign="top" rowspan="2">Unuversity BarcelonaTech</td>
<td align="left" valign="top">Influent wastewater</td>
<td align="center" valign="top">278&#x2013;2,881</td>
<td align="left" valign="top" rowspan="2">
<xref ref-type="bibr" rid="ref15">&#x00C1;vila et al. (2021)</xref>
</td>
</tr>
<tr>
<td align="left" valign="top">Effluent wastewater <sup>CW</sup></td>
<td align="center" valign="top">33&#x2013;1,129</td>
</tr>
<tr>
<td align="left" valign="top">WWTP (Galindo)</td>
<td align="left" valign="top">Effluent wastewater</td>
<td align="center" valign="top">53&#x2013;281</td>
<td align="left" valign="top" rowspan="3">
<xref ref-type="bibr" rid="ref139">Mijangos et al. (2018)</xref>
</td>
</tr>
<tr>
<td align="left" valign="top">WWTP (Gorliz)</td>
<td align="left" valign="top">Effluent wastewater</td>
<td align="center" valign="top">5&#x2013;13</td>
</tr>
<tr>
<td align="left" valign="top">WWTP (Gernika)</td>
<td align="left" valign="top">Effluent wastewater</td>
<td align="center" valign="top">19&#x2013;374</td>
</tr>
<tr>
<td align="left" valign="top">WWTPs &#x201C;Los Vados&#x201D; (Granada)</td>
<td align="left" valign="top">Sewage sludge</td>
<td align="center" valign="top">10.0<sup>&#x002A;</sup></td>
<td align="left" valign="top">
<xref ref-type="bibr" rid="ref117">Ledezma-Villanueva et al. (2022)</xref>
</td>
</tr>
<tr>
<td align="left" valign="top" rowspan="2"><bold>Sweden</bold>: WWTP (Steng&#x00E5;rden)</td>
<td align="left" valign="top">Influent wastewater</td>
<td align="center" valign="top">155</td>
<td align="left" valign="top" rowspan="2">
<xref ref-type="bibr" rid="ref57">Ekengren et al. (2020)</xref>
</td>
</tr>
<tr>
<td align="left" valign="top">Effluent wastewater <sup>AC</sup></td>
<td align="center" valign="top">223</td>
</tr>
<tr>
<td align="left" valign="top">Baltic current</td>
<td align="left" valign="top">Seawater</td>
<td align="center" valign="top">0.8&#x2013;2.7</td>
<td align="left" valign="top">
<xref ref-type="bibr" rid="ref79">Gustavsson et al. (2017)</xref>
</td>
</tr>
<tr>
<td align="left" valign="top"><bold>Tunisia</bold>: The Tahar Sfar Hospital</td>
<td align="left" valign="top">Hospital effluent</td>
<td align="center" valign="top">200&#x2013;18,100</td>
<td align="left" valign="top" rowspan="4">
<xref ref-type="bibr" rid="ref1">Afsa et al. (2020)</xref>
</td>
</tr>
<tr>
<td align="left" valign="top" rowspan="2">WWTPs (Mahdia)</td>
<td align="left" valign="top">Influent wastewater</td>
<td align="center" valign="top">1,200&#x2013;3,300</td>
</tr>
<tr>
<td align="left" valign="top">Effluent wastewater <sup>AS</sup></td>
<td align="center" valign="top">350&#x2013;790</td>
</tr>
<tr>
<td align="left" valign="top">Coast of the Mediterranean Sea</td>
<td align="left" valign="top">Seawater</td>
<td align="center" valign="top">&#x003C;MDL&#x2013;76</td>
</tr>
<tr>
<td align="left" valign="top">Nabeul region</td>
<td align="left" valign="top">Effluent wastewater<break/>Storage basin</td>
<td align="center" valign="top">417<break/>179</td>
<td align="left" valign="top">
<xref ref-type="bibr" rid="ref122">Mahjoub et al. (2022)</xref>
</td>
</tr>
<tr>
<td align="left" valign="top" rowspan="3"><bold>Turkey</bold>: Konya</td>
<td align="left" valign="top">Hospital effluent</td>
<td align="center" valign="top">35.3&#x2013;9,193</td>
<td align="left" valign="top" rowspan="3">
<xref ref-type="bibr" rid="ref16">Aydin et al. (2019)</xref>
</td>
</tr>
<tr>
<td align="left" valign="top">Influent wastewater</td>
<td align="center" valign="top">38.3&#x2013;460</td>
</tr>
<tr>
<td align="left" valign="top">Effluent wastewater</td>
<td align="center" valign="top">7.4&#x2013;122</td>
</tr>
<tr>
<td align="left" valign="top" rowspan="6"><bold>United Kingdom</bold>: Southwest part</td>
<td align="left" valign="top">Influent wastewater <sup>TF</sup></td>
<td align="center" valign="top">32&#x2013;39</td>
<td align="left" valign="top" rowspan="6">
<xref ref-type="bibr" rid="ref169">Petrie and Camacho-Mu&#x00F1;oz (2021)</xref>
</td>
</tr>
<tr>
<td align="left" valign="top">Influent wastewater <sup>SBR</sup></td>
<td align="center" valign="top">&#x003C;13</td>
</tr>
<tr>
<td align="left" valign="top">Effluent wastewater <sup>TF</sup></td>
<td align="center" valign="top">3&#x2013;6</td>
</tr>
<tr>
<td align="left" valign="top">Effluent wastewater <sup>SBR</sup></td>
<td align="center" valign="top">114&#x2013;200</td>
</tr>
<tr>
<td align="left" valign="top">Enfluent wastewater <sup>CAS</sup></td>
<td align="center" valign="top">12&#x2013;16</td>
</tr>
<tr>
<td align="left" valign="top">Surface water</td>
<td align="center" valign="top">&#x003C;0.2&#x2013;8</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<p>WWTP, wastewater treatment plant; &#x002A; &#x2013; ng/g DW (dry weight). Method of wastewater treatment: AC, activated carbon; TF, trickling filter beds; SBR, sequencing batch reactor; MBR, membrane bioreactor; UASBR, upflow anaerobic sludge blanket reactor; CAS, conventional activated sludge; MDL, method detection limits; CW, constructed wetlands; HRAS, high-rate activated sludge; MB, mechanical-biological.</p>
</table-wrap-foot>
</table-wrap>
<p>Upon examining the findings from studies on KTP detection, several noteworthy observations were revealed. The southern regions of India and Africa exhibited the highest levels of KTP pollution, with recorded concentrations reaching a maximum of 260,000&#x2009;ng/L and 159,000&#x2009;ng/L, respectively (<xref rid="SM1" ref-type="supplementary-material">Supplementary Figure S1</xref>). In Europe, significant concentrations were detected in specific locations, such as hospital wastewater in France (20,000&#x2009;ng/L), influent wastewater in Southern Poland (10,700&#x2009;ng/L), and surface water in the Czech Republic (6,500&#x2009;ng/L) and Italy (5,150&#x2009;ng/L). Studies conducted in the Americas are relatively limited, but higher concentrations were found in the effluent wastewater of Costa Rica (14,700&#x2009;ng/L) and the surface waters of the Manus River in Brazil (14,215&#x2009;ng/L). In Australia, increased concentrations of KTP were observed in the influent wastewater of Bega Valley, reaching 15,300&#x2009;ng/L (<xref rid="tab1" ref-type="table">Table 1</xref>).</p>
<p>It is important to note that certain WWTPs demonstrated better efficiency in the removal of KTP. As shown in <xref rid="tab1" ref-type="table">Table 1</xref>, WWTPs incorporating activated sludge (AS, CAS, HRAS, and UASBR) exhibited the highest KTP removal rates, while WWTPs utilizing activated carbon showed the least efficient removal. These findings underscore the variability in treatment performance and highlight the importance of selecting appropriate treatment technologies for effective KTP removal in WWTPs.</p>
<p>In some countries, despite their similar geographic location, variations can be observed in the effectiveness of KTP removal from wastewater. These differences may be attributed to specific wastewater compositions, hydraulic retention times, redox conditions, loading on treatment plants, and filtration types employed (<xref ref-type="bibr" rid="ref229">Wiest et al., 2018</xref>). Several studies reported fluctuations in KTP concentrations depending on the season during which the samples were collected (<xref ref-type="bibr" rid="ref18">Barbosa et al., 2018</xref>; <xref ref-type="bibr" rid="ref35">&#x010C;esen et al., 2018</xref>; <xref ref-type="bibr" rid="ref16">Aydin et al., 2019</xref>; <xref ref-type="bibr" rid="ref119">Leivisk&#x00E4; and Risteel&#x00E4;, 2022</xref>). One possible reason for these fluctuations is the recurring exacerbations of rheumatoid arthritis and osteoarthritis that often occur during the winter and rainy seasons, resulting in an increased demand for KTP (<xref ref-type="bibr" rid="ref31">Camacho-Mu&#x00F1;oz et al., 2019</xref>).</p>
</sec>
</sec>
<sec id="sec5">
<label>3.</label>
<title>Ecotoxic effects of ketoprofen</title>
<p>KTP and its metabolites are considered emerging contaminants as they have been detected in the environment relatively recently, and there are no established environmental quality standards for them. The lack of monitoring studies makes it difficult to assess the potential threat of KTP to ecosystems (<xref ref-type="bibr" rid="ref140">Miller et al., 2018</xref>; <xref ref-type="bibr" rid="ref60">European Commission, 2019</xref>). To develop adequate ERA procedures, <italic>in vivo</italic> studies are needed to determine the toxicity rates, biological effects, and modes of action of KTP and its metabolites (<xref ref-type="bibr" rid="ref52">Diaz-Sosa et al., 2020</xref>; <xref ref-type="bibr" rid="ref239">Yusuf et al., 2021</xref>).</p>
<p>KTP is a chiral compound and exists in the form of a racemate made up of both (<italic>S</italic>) and (<italic>R</italic>) enantiomers. The chirality of a substance plays a crucial role in determining its chemical properties, including its toxic effects (<xref ref-type="bibr" rid="ref19">Bayatloo et al., 2022</xref>). It is important to evaluate the impact of both (<italic>S</italic>) and (<italic>R</italic>) isomers on living organisms in order to understand which form of the compound poses a greater toxic burden on the environment (<xref ref-type="bibr" rid="ref154">Ou-Yang et al., 2022</xref>).</p>
<p>Pharmaceutical substances, including KTP, have the potential to exert their effects on living organisms even at low concentrations. They can permeate biological membranes, accumulate within organisms, and induce ecotoxicological effects (<xref ref-type="bibr" rid="ref150">OECD, 2019</xref>; <xref ref-type="bibr" rid="ref189">Rogowska et al., 2020</xref>; <xref ref-type="bibr" rid="ref146">Mulkiewicz et al., 2021</xref>). Ecotoxicity refers to the ability of a substance or physical agent to cause adverse effects on both the environment and organisms, including animals, microbes, and plants. Ecotoxicity testing involves evaluating the response and sensitivity of representative populations of specific species, often aquatic organisms such as algae, arthropods, mollusks, and fish, to the pollutant over a defined period of time (<xref ref-type="bibr" rid="ref189">Rogowska et al., 2020</xref>).</p>
<sec id="sec6">
<label>3.1.</label>
<title>Acute toxicity of ketoprofen</title>
<p>Ecotoxicological studies aim at determining both acute and chronic toxicity of substances. Acute toxicity refers to harmful effects caused by a single or multiple exposures over a short period of time, often leading to a lethal outcome. Acute toxicity is typically expressed as either the median effective dose (ED<sub>50</sub>) or the median lethal dose (LD<sub>50</sub>). The ED<sub>50</sub> represents the concentration of exposure that produces a measurable effect in 50% of individuals in a population, while the LD<sub>50</sub> represents the lethal concentration that causes death in 50% of individuals. To evaluate the potential hazard of pharmaceutical pollutants to aquatic ecosystems, the Global Harmonized System of Classification and Labeling of Chemicals (GHS) is commonly used (<xref ref-type="bibr" rid="ref218">United Nations, 2011</xref>). According to GHS, substances are classified into the following categories:</p>
<list list-type="simple">
<list-item><p>(I) highly toxic: LD<sub>50</sub>/ED<sub>50</sub>&#x2009;&#x2264;&#x2009;1&#x2009;mg/L;</p></list-item>
<list-item><p>(II) toxic: 1&#x2009;mg/L&#x2009;&#x003C;&#x2009;LD<sub>50</sub>/ED<sub>50</sub>&#x2009;&#x2264;&#x2009;10&#x2009;mg/L;</p></list-item>
<list-item><p>(III) hazardous to aquatic organisms: 10&#x2009;mg/L&#x2009;&#x003C;&#x2009;LD50/ED50&#x2009;&#x2264;&#x2009;100&#x2009;mg/L;</p></list-item>
<list-item><p>(IV) non-toxic: LD<sub>50</sub>/ED<sub>50</sub>&#x2009;&#x003E;&#x2009;100&#x2009;mg/L.</p></list-item>
</list>
<p>Based on the available data on acute toxicity and applying the GHS classification, KTP is classified as a compound that is hazardous to aquatic ecosystems (<xref rid="tab2" ref-type="table">Table 2</xref>).</p>
<table-wrap position="float" id="tab2">
<label>Table 2</label>
<caption>
<p>The acute toxicity of ketoprofen towards organisms from different taxonomic groups.</p>
</caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th align="left" valign="top" rowspan="2">Organism</th>
<th align="center" valign="top" rowspan="2">Exposure, h</th>
<th align="center" valign="top" colspan="2">Indicator, mg/L</th>
<th align="left" valign="top" rowspan="2">Reference</th>
<th align="center" valign="top" rowspan="2">Hazard category</th>
</tr>
<tr>
<th align="center" valign="top">ED<sub>50</sub></th>
<th align="center" valign="top">LD<sub>50</sub></th>
</tr>
</thead>
<tbody>
<tr>
<td align="left" valign="top" colspan="6">Invertebrates</td>
</tr>
<tr>
<td align="left" valign="top" rowspan="2">
<italic>Artemia salina</italic>
</td>
<td align="center" valign="top">48</td>
<td/>
<td align="char" valign="top" char=".">13.24</td>
<td align="left" valign="top">
<xref ref-type="bibr" rid="ref52">Diaz-Sosa et al. (2020)</xref>
</td>
<td align="center" valign="top">III</td>
</tr>
<tr>
<td align="center" valign="top">48</td>
<td align="char" valign="top" char=".">8.98&#x2013;16.58</td>
<td/>
<td align="left" valign="top">
<xref ref-type="bibr" rid="ref141">Minguez et al. (2016)</xref>
</td>
<td align="center" valign="top">II-III</td>
</tr>
<tr>
<td align="left" valign="top">
<italic>Ceriodaphnia silvestrii</italic>
</td>
<td align="center" valign="top">48</td>
<td align="char" valign="top" char=".">24.84</td>
<td/>
<td align="left" valign="top">
<xref ref-type="bibr" rid="ref30">Caldas et al. (2021)</xref>
</td>
<td align="center" valign="top">III</td>
</tr>
<tr>
<td align="left" valign="top" rowspan="2">
<italic>Daphnia magna</italic>
</td>
<td align="center" valign="top">24</td>
<td/>
<td align="char" valign="top" char=".">11.02</td>
<td align="left" valign="top">
<xref ref-type="bibr" rid="ref26">Bownik et al. (2020)</xref>
</td>
<td align="center" valign="top">III</td>
</tr>
<tr>
<td align="center" valign="top">48</td>
<td align="char" valign="top" char=".">25.87&#x2013;42.24</td>
<td/>
<td align="left" valign="top">
<xref ref-type="bibr" rid="ref141">Minguez et al. (2016)</xref>
</td>
<td align="center" valign="top">III</td>
</tr>
<tr>
<td align="left" valign="top" colspan="6">Fish</td>
</tr>
<tr>
<td align="left" valign="top">
<italic>Danio rerio</italic>
</td>
<td align="center" valign="top">24</td>
<td align="char" valign="top" char=".">11.7</td>
<td/>
<td align="left" valign="top">
<xref ref-type="bibr" rid="ref147">Neale et al. (2019)</xref>
</td>
<td align="center" valign="top">III</td>
</tr>
<tr>
<td align="left" valign="top">
<italic>Pimephales promelas</italic>
</td>
<td align="center" valign="top">96</td>
<td/>
<td align="char" valign="top" char=".">2.9</td>
<td align="left" valign="top">
<xref ref-type="bibr" rid="ref66">Gao et al. (2022)</xref>
</td>
<td align="center" valign="top">II</td>
</tr>
<tr>
<td align="left" valign="top" colspan="6">Green algae</td>
</tr>
<tr>
<td align="left" valign="top" rowspan="2">
<italic>Pseudokirchneriella subcapitata</italic>
</td>
<td align="center" valign="top">96</td>
<td align="char" valign="top" char=".">0.24 (racemic)<break/>0.066 (dexketoprofen)</td>
<td/>
<td align="char" valign="top" char=".">
<xref ref-type="bibr" rid="ref134">Mennillo et al. (2018)</xref>
</td>
<td align="center" valign="top">I</td>
</tr>
<tr>
<td align="center" valign="top">72</td>
<td align="char" valign="top" char=".">43.07&#x2013;51.14</td>
<td/>
<td align="left" valign="top">
<xref ref-type="bibr" rid="ref141">Minguez et al. (2016)</xref>
</td>
<td align="center" valign="top">III</td>
</tr>
<tr>
<td align="left" valign="top">
<italic>Scenedesmus obliquus</italic>
</td>
<td align="center" valign="top">96</td>
<td/>
<td align="char" valign="top" char=".">2.20</td>
<td align="left" valign="top">
<xref ref-type="bibr" rid="ref222">Wang et al. (2020a)</xref>
</td>
<td align="center" valign="top">II</td>
</tr>
<tr>
<td align="left" valign="top">
<italic>Lemna minor</italic>
</td>
<td align="center" valign="top">96</td>
<td align="char" valign="top" char=".">1.9</td>
<td/>
<td align="left" valign="top">
<xref ref-type="bibr" rid="ref175">Ram&#x00ED;rez-Morales et al. (2022)</xref>
</td>
<td align="center" valign="top">II</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<p>LD<sub>50</sub> &#x2013; the average lethal dose; ED<sub>50</sub> &#x2013; the average effective dose; I &#x2013; highly toxic, II &#x2013; toxic, III &#x2013; hazardous for aquatic organisms, IV &#x2013; non-toxic (<xref ref-type="bibr" rid="ref218">United Nations, 2011</xref>).</p>
</table-wrap-foot>
</table-wrap>
</sec>
<sec id="sec7">
<label>3.2.</label>
<title>Chronic toxicity of ketoprofen</title>
<p>Chronic toxicity is an important aspect to consider when assessing the impact of pharmaceutical substances such as KTP on living organisms. Unlike acute toxicity, which focuses on short-term lethal effects, chronic toxicity examines the long-term effects of prolonged exposure to a stressor. Chronic toxicity is characterized by sublethal responses rather than immediate lethality (<xref ref-type="bibr" rid="ref163">Parolini, 2020</xref>). The assessment of chronic toxicity involves determining the concentration without the observed effect (NOEC) or the lowest observed effect concentration (LOEC). These concentrations serve as criteria for evaluating chronic toxicity and help establish safe exposure levels. Chronic toxicity evaluation encompasses various aspects such as cytotoxicity (cellular damage), genotoxicity (damage to genetic material), disturbances in gene expression and metabolism, endocrine disruption (disruption of hormone systems), teratogenic effects (developmental abnormalities), morphological and tissue transformations, and behavioral changes (<xref ref-type="bibr" rid="ref209">&#x015A;wiacka et al., 2021</xref>). <xref rid="fig1" ref-type="fig">Figure 1</xref> summarizes the detrimental effects of KTP on several micro- and macroorganisms.</p>
<fig position="float" id="fig1">
<label>Figure 1</label>
<caption>
<p>Ecotoxicological effects of ketoprofen on several micro- and macroorganisms. Created with <ext-link xlink:href="https://www.biorender.com" ext-link-type="uri">BioRender.com</ext-link>.</p>
</caption>
<graphic xlink:href="fmicb-14-1200108-g001.tif"/>
</fig>
<sec id="sec8">
<label>3.2.1.</label>
<title>The impact of ketoprofen on vertebrates</title>
<p>The bioaccumulation of KTP in aquatic vertebrates, especially bony fish, is a significant characteristic that influences its behavior in aquatic ecosystems. KTP can be absorbed from the surrounding environment and gradually accumulated in the tissues of these organisms, potentially resulting in higher concentrations as it progresses up the food chain. For instance, KTP has been detected in the heart of Thinlip mullet (<italic>Liza ramada</italic>), a river fish that inhabits environments heavily impacted by WWTP effluents (<xref ref-type="bibr" rid="ref124">Manjarr&#x00E9;s-L&#x00F3;pez et al., 2023</xref>). Furthermore, KTP has been found in the tissues of marine fish, such as Atlantic salmon, Atlantic Sea wolf, and Rainbow trout, at concentrations ranging from 80 to 120&#x2009;&#x03BC;g/kg (<xref ref-type="bibr" rid="ref164">Pashaei et al., 2022a</xref>). Another study reported the occurrence of KTP in marine fish, including mullet, white mullet, and snook at concentrations up to 12&#x2009;ng/kg WW (<xref ref-type="bibr" rid="ref133">Mello et al., 2022</xref>).</p>
<p>In addition to its bioaccumulation, KTP elicits various negative biological responses in vertebrates. One of the key impacts of KTP is its ability to induce oxidative stress through the formation of reactive oxygen species (ROS). The production of ROS can disrupt the balance of antioxidants and result in oxidative damage to cellular components such as lipids, proteins, and DNA. KTP can also bind to specific enzymes in the body and interfere with their normal catalytic activity, leading to disrupted essential biochemical pathways. Studies on adult <italic>Danio rerio</italic> fish, for example, showed that exposure to KTP led to significantly increased activity of biochemical enzymes and an elevated level of lipid peroxidation in the liver tissues, while the level of antioxidants was significantly reduced (<xref ref-type="bibr" rid="ref179">Rangasamy et al., 2018</xref>).</p>
<p>The mechanism of action of KTP involves blocking of a cyclooxygenase, which interferes with the normal production of prostaglandins, important regulators of various physiological processes (<xref ref-type="bibr" rid="ref191">Rouzer and Marnett, 2020</xref>). This disruption can have adverse effects on the intestinal system, where prostaglandins play a role in maintaining gut integrity and function. The interference of KTP with prostaglandin synthesis can promote intestinal toxicity and related gastrointestinal complications. In the case of Atlantic salmon (<italic>Salmo salar</italic>) exposed to KTP (100&#x2009;&#x03BC;g/L) for 10&#x2009;days or more, significant impairments in antioxidant responses in the gills and liver damage were observed (<xref ref-type="bibr" rid="ref135">Mennillo et al., 2020</xref>).</p>
<p>Moreover, KTP has been found to influence nucleotide metabolism, which is crucial for cellular energy production and DNA synthesis (<xref ref-type="bibr" rid="ref46">Da Silveira et al., 2013</xref>). Disruptions in nucleotide metabolism caused by KTP can impact cellular functions and contribute to the negative biological responses. In <italic>Danio rerio</italic> embryos, increased concentrations of KTP (1, 10, and 100&#x2009;&#x03BC;g/L) led to developmental changes such as spinal curvature, slowed heart rate, delayed hatching, and even lethal outcomes during a 42-day exposure (<xref ref-type="bibr" rid="ref179">Rangasamy et al., 2018</xref>).</p>
<p>However, not all studies have shown negative effects of KTP on aquatic fauna. <xref ref-type="bibr" rid="ref73">Greene et al. (2020)</xref> observed no significant side effects in two species of bony fish (<italic>Oreochromis niloticus</italic> and <italic>Oncorhynchus mykiss</italic>) when administered 3&#x2009;mg/kg and 8&#x2009;mg/kg of KTP through intravenous or intramuscular injection. This suggests the potential for KTP applications in aquaculture and pain management in fish. Although the use of analgesics in aquaculture remains limited, improvements in animal welfare have led to elevated interest in pain management in fish (<xref ref-type="bibr" rid="ref37">Chatigny et al., 2018</xref>). It was previously thought that fish could not feel pain, but modern research has shown that fish, like mammals, have nociceptors that transmit pain stimuli (<xref ref-type="bibr" rid="ref200">Sneddon, 2019</xref>; <xref ref-type="bibr" rid="ref73">Greene et al., 2020</xref>).</p>
</sec>
<sec id="sec9">
<label>3.2.2.</label>
<title>The impact of ketoprofen on invertebrates</title>
<p>KTP was found to have toxic effects on invertebrates inhabiting water bodies, such as arthropods and mollusks. The exact mechanisms through which KTP exerts its toxicity in invertebrates are not yet fully understood, but this pollutant is believed to interfere with essential cellular processes, including protein production, DNA damage, and generation of ROS. Similar to vertebrates, invertebrates showed bioaccumulation of KTP (<xref ref-type="bibr" rid="ref133">Mello et al., 2022</xref>; <xref ref-type="bibr" rid="ref235">Xu et al., 2022</xref>; <xref ref-type="bibr" rid="ref164">Pashaei et al., 2022a</xref>). Chronic toxicity studies of the racemic mixture of KTP and its <italic>S</italic>-enantiomer using the crustacean <italic>Ceriodaphnia dubia</italic> demonstrated negative effects in a concentration range of 1&#x2013;1,000&#x2009;&#x03BC;g/L. These effects included disruptions in the functioning of the reproductive system and a population mortality rate of up to 40% (<xref ref-type="bibr" rid="ref134">Mennillo et al., 2018</xref>). Treatment with KTP (100&#x2009;&#x03BC;g/g) led to the suppressed behavioral fever symptoms and reduced motility in the freshwater snail <italic>Planorbarius corneus</italic>. The phenomenon of behavioral fever, which is the rise of body temperature in response to pyrogens, has not been extensively studied in ectothermic animals yet. The results did not provide a clear answer whether the behavioral fever was a similar mechanism to fever in warm-blooded animals. Nonetheless, it could be considered as an endpoint in assessing the effects of xenobiotics on the physiology of invertebrates (<xref ref-type="bibr" rid="ref240">Zbikowska et al., 2017</xref>).</p>
<p>There is limited data on the migration of pharmaceutical pollutants in living organisms through trophic transfer (<xref ref-type="bibr" rid="ref242">Zhang et al., 2021</xref>). As for insects with complex life cycles, such as mayflies, they can play a role in the migration of micropollutants from aquatic to terrestrial ecosystems. Mayflies undergo both aquatic and terrestrial stages, allowing them to accumulate and retain micropollutants throughout their life cycle (<xref ref-type="bibr" rid="ref74">Grgi&#x0107; et al., 2023</xref>). However, research on particular impacts of KTP on terrestrial animals is limited and existing studies are focused on relatively high concentrations. For example, a study examined the impact of KTP and a mixture of KTP and ibuprofen on the growth and mortality of <italic>Heterocypris incongruens</italic>, a common species of crustacean found in sediment and soil (<xref ref-type="bibr" rid="ref167">Paw&#x0142;owska et al., 2023</xref>). The results showed that high concentrations (100&#x2009;mg/kg of soil DW) of these drugs inhibited the growth of the crustaceans, while the drug concentration of 1,000&#x2009;mg/kg of soil DW caused 100% mortality.</p>
</sec>
<sec id="sec10">
<label>3.2.3.</label>
<title>The impact of ketoprofen on plants</title>
<p>KTP has been detected in animal manure as a result of its active use for fever relief in cattle (<xref ref-type="bibr" rid="ref49">De Koster et al., 2022</xref>). It has also been found in treated wastewater in its original form or as metabolites (see <xref rid="tab1" ref-type="table">Table 1</xref>). This may have negative effects on many plant species as animal manure and purified wastewater are often used as fertilizers and for irrigation in agriculture (<xref ref-type="bibr" rid="ref75">Gros et al., 2019</xref>; <xref ref-type="bibr" rid="ref161">Papaioannou et al., 2020</xref>; <xref ref-type="bibr" rid="ref21">Ben Mordechay et al., 2021</xref>; <xref ref-type="bibr" rid="ref108">Kesari et al., 2021</xref>; <xref ref-type="bibr" rid="ref120">Li et al., 2022</xref>). The detrimental effects of KTP on plants can be attributed to its ability to permeate the phospholipid layer of cell membranes and selectively bind to membrane proteins (<xref ref-type="bibr" rid="ref129">Mastova et al., 2022</xref>). This interaction between KTP and membrane proteins can disrupt their normal functioning. Additionally, under conditions such as photolysis or irradiation, KTP undergoes a process where its ketyl radical is formed. The formation of the ketyl radical is of particular concern as it can initiate lipid oxidation within the cell membrane. This oxidative damage may lead to the disruption of membrane integrity and fluidity, affecting vital cellular processes. Furthermore, the oxidative damage caused by KTP and its ketyl radical can trigger a biochemical cascade within the plant cells, which can have far-reaching consequences. This cascade may involve the generation of reactive oxygen species which might lead to DNA damage, compromising the genetic material and potentially disrupting important cellular functions.</p>
<p>For instance, when exposed to concentrations of 10 and 20&#x2009;mg/L, KTP had significant effects on rice seedlings (<italic>Oryza sativa</italic> L.) (<xref ref-type="bibr" rid="ref223">Wang et al., 2020b</xref>). It resulted in changes in photosynthetic pigment content, altered expression of genes related to chlorophyll synthesis and the photosynthetic electron transport chain, hindered growth, and caused damage to the root system. Subsequent metabolomic analysis revealed that KTP negatively impacted the respiration rate, ATP synthesis, and disrupted carbon and nitrogen metabolism, leading to changes in key enzymes involved in these processes (<xref ref-type="bibr" rid="ref224">Wang et al., 2023</xref>). In another study, KTP and a mixture of KTP and ibuprofen had significant effects on spring barley (<italic>Hordeum vulgare</italic> L.), namely reduced growth potential, root length, fresh weight yield, altered levels of chlorophylls and carotenoids, and induced oxidative stress (<xref ref-type="bibr" rid="ref167">Paw&#x0142;owska et al., 2023</xref>).</p>
<p>Some insights were also gained from studies using lesser duckweed (<italic>Lemna minor</italic> L.) at environmentally relevant concentrations of KTP (0.24&#x2009;&#x03BC;g/L) (<xref ref-type="bibr" rid="ref6">Alkimin et al., 2019</xref>, <xref ref-type="bibr" rid="ref7">2020</xref>). These studies revealed a decrease in the activity of carbonic anhydrase, a crucial enzyme involved in photosynthesis, growth, and development. Conversely, an increase in catalase activity was observed, indicating that plants exhibited adaptive responses to counteract the oxidative stress caused by KTP exposure.</p>
</sec>
<sec id="sec11">
<label>3.2.4.</label>
<title>The impact of ketoprofen on microorganisms</title>
<p>KTP, like other NSAIDs, possesses antimicrobial properties and has been investigated for its effects on microorganisms. Previous studies basically focused on determining the acute toxicity of KTP at high concentrations (<xref ref-type="bibr" rid="ref125">Marchlewicz et al., 2017</xref>; <xref ref-type="bibr" rid="ref245">&#x017B;ur et al., 2018</xref>; <xref ref-type="bibr" rid="ref169">Petrie and Camacho-Mu&#x00F1;oz, 2021</xref>; <xref ref-type="bibr" rid="ref173">Praveenkumarreddy et al., 2021</xref>). For instance, KTP was found to inhibit the quorum sensing of gram-negative pathogens such as <italic>Acinetobacter baumannii</italic>, <italic>Chromobacterium violaceum</italic>, and <italic>Pseudomonas aeruginosa</italic> (<xref ref-type="bibr" rid="ref211">Tajani et al., 2021</xref>; <xref ref-type="bibr" rid="ref219">Vargas et al., 2021</xref>; <xref ref-type="bibr" rid="ref58">Elshaer et al., 2022</xref>). An intriguing work by <xref ref-type="bibr" rid="ref147">Neale et al. (2019)</xref> aimed to determine the effects of different NSAID enantiomers on the bacterium <italic>Photobacterium leiognathi</italic> using the Bacterial Luminescence Toxicity Screen. However, no statistically significant differences in ecotoxicity measures were found between (<italic>R</italic>)-KTP, (<italic>S</italic>)-KTP, and racemic KTP.</p>
<p>In the case of microalgae, exposure to KTP (1&#x2009;mg/L) induced various detrimental effects on the green microalga <italic>Scenedesmus obliquus</italic>, including plasmolysis, deformation of chloroplasts, reduced chlorophyll a and carotenoid content, and alterations in chlorophyll fluorescence parameters (<xref ref-type="bibr" rid="ref222">Wang et al., 2020a</xref>).</p>
<p>Prolonged exposure to KTP can lead to morphological and metabolic changes in microorganisms. For instance, the bacterium <italic>Rhodococcus erythropolis</italic> IEGM 746, which is capable of degrading KTP, exhibited morphometric alterations, such as changes in cell shape, size, and surface-to-area ratio, when exposed to KTP (100&#x2009;mg/L) for 4&#x2009;days. These changes represent an adaptive response of the bacteria to counteract the toxic effects of the NSAID (<xref ref-type="bibr" rid="ref20">Bazhutin et al., 2022</xref>).</p>
<p>In recent years, the scientific community has become increasingly concerned about the potential impact of ongoing exposure to emerging contaminants on natural microbiota (<xref ref-type="bibr" rid="ref203">Stadler et al., 2018</xref>; <xref ref-type="bibr" rid="ref236">Yan et al., 2018</xref>; <xref ref-type="bibr" rid="ref71">Gomes et al., 2020</xref>; <xref ref-type="bibr" rid="ref38">Chaturvedi et al., 2021</xref>; <xref ref-type="bibr" rid="ref172">Pinto et al., 2022</xref>; <xref ref-type="bibr" rid="ref208">&#x015A;wiacka et al., 2023</xref>). Microorganisms respond rapidly to environmental changes, and microbial communities are dynamic organisms that continuously evolve. Changes and rearrangements in soil microbial communities are of particular interest due to their potential detrimental effects: the depletion of rhizospheric microflora, disturbance of ecosystem functioning, and reductions in agricultural crop yields (<xref ref-type="bibr" rid="ref45">Cyco&#x0144; et al., 2016</xref>; <xref ref-type="bibr" rid="ref174">Raaijmakers and Kiers, 2022</xref>; <xref ref-type="bibr" rid="ref165">Pashaei et al., 2022b</xref>).</p>
<p><xref ref-type="bibr" rid="ref115">Kovacs et al. (2022)</xref> have shown that NSAIDs, including diclofenac, ibuprofen, and KTP, can alter the abundance, structure, and metabolic activity of microbial communities in the rhizosphere of tomato plants. The findings suggest that these compounds have the potential to affect the ability of rhizosphere microbiota to provide essential ecosystem services. Another recent study by <xref ref-type="bibr" rid="ref167">Paw&#x0142;owska et al. (2023)</xref> investigated the effects of KTP and a mixture of ibuprofen and KTP on bacterial and fungal abundance in soil. The results revealed an increase in bacterial abundance after 14&#x2009;days of introducing KTP and the mixture into the soil. However, KTP had an adverse effect on the fungal population at a concentration of 1,000&#x2009;mg/kg.</p>
<p>It&#x2019;s worth noting that microbial communities consisting of bacteria and fungi are commonly found sharing microhabitats, and their interactions within these environments are dynamic and co-evolving (<xref ref-type="bibr" rid="ref50">Deveau et al., 2018</xref>). However, the specific features of these bacterial-fungal interactions under the influence of pharmaceutical pollutants are not fully understood. Further research in this area could provide valuable insights and potentially lead to new strategies for the bioremediation of natural ecosystems affected by pharmaceutical pollutants (<xref ref-type="bibr" rid="ref109">Khan et al., 2023</xref>).</p>
</sec>
</sec>
</sec>
<sec id="sec12">
<label>4.</label>
<title>Bioremoval of ketoprofen</title>
<p>In recent years, increasing emphasis has been placed on the discovery and development of effective methods to neutralize and detoxify pharmaceutical compounds. To address this challenge, it is important to consider various factors that influence the decomposition process of pharmaceutically active compounds. These are physicochemical properties of pharmaceuticals (hydrophobicity and dissociation), environmental conditions (pH, temperature, and aeration), particle size, and others (<xref ref-type="bibr" rid="ref148">Nguyen et al., 2021</xref>). When it comes to KTP, its complex composition and the presence of various functional groups (methyl, ketone, and carboxylic) contribute to its weak sorption and strong desorption capabilities (<xref ref-type="bibr" rid="ref238">Yu et al., 2011</xref>). The carboxylic functional group (-COOH), which acts as an electron acceptor, creates an electron deficit, making the compound less susceptible to oxidative catabolism (<xref ref-type="bibr" rid="ref47">Dalecka et al., 2020</xref>).</p>
<p>Biological neutralization of KTP has garnered significant attention, as it can account for up to 99% of the total removal of KTP during wastewater treatment (<xref ref-type="bibr" rid="ref51">Di Marcantonio et al., 2023</xref>). Several strategies have been developed and tested for the bioremoval of pharmaceutical compounds from natural environments. The current review compiles the latest knowledge on modern methods and technologies for eliminating KTP from natural environments using fungi, bacteria, algae, and microbial consortia.</p>
<sec id="sec13">
<label>4.1.</label>
<title>Fungal degradation of ketoprofen</title>
<p>Fungi have been shown effective in removing xenobiotics due to the presence of low-specificity enzymes like peroxidases, laccases, and cellulases, which can modify and break down lignin. Ascomycetes and basidiomycetes often use the metabolic pathways of lignin degradation as a tool for the biological degradation of various targets, including pharmaceutical pollutants (<xref ref-type="bibr" rid="ref180">Rastogi et al., 2021</xref>; <xref ref-type="bibr" rid="ref214">Tormo-Budowski et al., 2021</xref>).</p>
<p>Among fungi, white-rot fungi have gained significant popularity in bioremediation efforts (<xref ref-type="bibr" rid="ref29">Bulai et al., 2018</xref>; <xref ref-type="bibr" rid="ref202">So&#x015B;nicka et al., 2022</xref>). Representatives of <italic>Trametes</italic> spp., <italic>Pleurotus</italic> spp., <italic>Phanerochaete</italic> spp., <italic>Irpex</italic> spp. have already proven themselves as promising biodegraders of pharmaceutical pollutants, including NSAIDs (<xref ref-type="bibr" rid="ref116">Kum et al., 2009</xref>; <xref ref-type="bibr" rid="ref127">Marco-Urrea et al., 2009</xref>, <xref ref-type="bibr" rid="ref126">2010</xref>; <xref ref-type="bibr" rid="ref83">Hata et al., 2010</xref>; <xref ref-type="bibr" rid="ref188">Rodarte-Morales et al., 2011</xref>; <xref ref-type="bibr" rid="ref149">Nguyen et al., 2013</xref>; <xref ref-type="bibr" rid="ref202">So&#x015B;nicka et al., 2022</xref>). In a study by <xref ref-type="bibr" rid="ref82">Haroune et al. (2017)</xref>, <italic>Trametes hirsuta</italic> IBB 450 degraded most (90%) of the 100&#x2009;&#x03BC;g/L mixture of NSAIDs (acetaminophen, ibuprofen, indomethacin, KTP, mefenamic acid, and naproxen) within a 48-h experiment. The biodegradation of KTP was a multi-step process that involved uptake, intra- and extracellular transformation. The authors also proposed 10 products of KTP transformation (<xref rid="fig2" ref-type="fig">Figure 2</xref>), although further structural elucidation methods are required to confirm these proposed structures (<xref ref-type="bibr" rid="ref82">Haroune et al., 2017</xref>).</p>
<fig position="float" id="fig2">
<label>Figure 2</label>
<caption>
<p>Metabolites generated through the bacterial and fungal biodegradation of ketoprofen (<xref ref-type="bibr" rid="ref92">Ismail et al., 2016</xref>; <xref ref-type="bibr" rid="ref82">Haroune et al., 2017</xref>; <xref ref-type="bibr" rid="ref10">Angeles-de Paz et al., 2023</xref>; <xref ref-type="bibr" rid="ref89">Huang et al., 2023</xref>), TP &#x2013; transformation product. Bacterial or fungal biodegraders and their corresponding metabolites depicted in matching colors. Created with <ext-link xlink:href="https://www.biorender.com" ext-link-type="uri">BioRender.com</ext-link>.</p>
</caption>
<graphic xlink:href="fmicb-14-1200108-g002.tif"/>
</fig>
<p>Immobilization is often employed as an effective approach to accelerate and optimize the bioremediation of contaminants. Comparative experiments conducted by <xref ref-type="bibr" rid="ref214">Tormo-Budowski et al. (2021)</xref> demonstrated that the use of immobilized <italic>Trametes versicolor</italic> strain ATCC 42530 on rice husks in fungal bioreactors, such as trickle-bed and stirred tank systems, increased the removal efficiency of 16 pharmaceuticals (1000&#x2009;&#x03BC;g/L) from hospital wastewater. In a 336-h experiment, the stirred tank bioreactor removed approximately 54% of KTP, while the trickle-bed bioreactor with immobilized fungi removed over 99% of the pharmaceutical pollutant, with 73.3% being due to adsorption. Additionally, toxicological tests revealed a reduction in the toxicity of the treated wastewater after processing in the trickle-bed bioreactor (<xref ref-type="bibr" rid="ref214">Tormo-Budowski et al., 2021</xref>).</p>
<p>In another study, <xref ref-type="bibr" rid="ref213">Tor&#x00E1;n et al. (2017)</xref> found that the strain ATCC 42530, immobilized on wood granules in a fluidized bed bioreactor, was able to remove 80% of KTP (20&#x2009;mg/L) from synthetic tap water over 31&#x2009;days. The maximum loss of this NSAID was achieved on day 18 of the experiment in flocculated hospital wastewater. The authors concluded that immobilization on wood was an excellent strategy to maintain the high functional activity and survival of the fungus since pallet wood could be used as a specific source of nutrients. Based on these findings, the authors investigated the possibility of removing KTP in a packed-bed bioreactor under continuous mode of operation, and were able to achieve 80% KTP removal throughout the treatment (<xref ref-type="bibr" rid="ref213">Tor&#x00E1;n et al., 2017</xref>).</p>
<p>White-rot fungi of the <italic>Pleurotus</italic> spp. were also found to express lignin-cellulolytic enzymes, primarily laccases, throughout their life cycle, making them promising biodegraders of pharmaceutical pollutants. In a study by <xref ref-type="bibr" rid="ref43">Cruz-Ornelas et al. (2019)</xref>, <italic>Pleurotus djamor</italic> ECS-0123 demonstrated the ability to degrade diclofenac, naproxen, and KTP individually and in mixtures. These NSAIDs were added to the medium individually at 10&#x2009;mg/L or in a pharmaceutical mixture at 7&#x2009;mg/L each. The results showed that after 48&#x2009;h of incubation, the fungus eliminated 87% of KTP. However, in the presence of naproxen, the degradation of both drugs decreased even after an extended exposure time of 72&#x2009;h, with 85% degradation for naproxen and 83% for KTP. Notably, the degradation of KTP in a combination with both diclofenac and naproxen was considerably effective, with 68 and 83% degradation observed after 6 and 48&#x2009;h, respectively. The study also indicated that laccase activity increased by 25% with the addition of KTP and by 300% with the addition of the NSAID mixture (<xref ref-type="bibr" rid="ref43">Cruz-Ornelas et al., 2019</xref>).</p>
<p><italic>Pleurotus ostreatus</italic>, isolated from a decaying wood fruiting body, exhibited moderate activity in the degradation of NSAIDs (<xref ref-type="bibr" rid="ref156">Palli et al., 2017</xref>). In a fluidized bed bioreactor using hospital wastewater, the partial degradation of KTP (10&#x2009;mg/L) reached 36% within 48&#x2009;h. With continuous input of hospital wastewater, the removal of KTP increased to 60% within 2&#x2009;days and 70% within 15&#x2009;days. Two KTP decomposition products were identified using NMR spectroscopy (see <xref rid="fig2" ref-type="fig">Figure 2</xref>): 2-[3-(4-hydroxybenzoyl)phenyl] propanoic acid and 2-[(3-hydroxy(phenyl)methyl)phenyl]-propanoic acid formed through hydroxylation of the aromatic ring and reduction of the keto group, respectively.</p>
<p><xref ref-type="bibr" rid="ref47">Dalecka et al. (2020)</xref> reported that <italic>Trametes versicolor</italic> DSM 6401, <italic>Trichoderma reesei</italic> DSM 768, <italic>Irpex lacteus</italic> IBB 104, <italic>Pleurotus ostreatus</italic> DSM 1020 and <italic>Fusarium solani</italic> (an environmental isolate from a pharmaceutical WWTP located in Riga, Latvia) removed diclofenac and KTP from synthetic wastewater. <italic>Trametes versicolor</italic> DSM 6401 removed KTP (5&#x2009;mg/L) by more than 80% within 21&#x2009;days, while other strains and their mixtures did not exhibit any activity towards KTP (<xref ref-type="bibr" rid="ref47">Dalecka et al., 2020</xref>). In a later study, <italic>Trametes versicolor</italic> DSM 6401 and <italic>Aspergillus luchuensis</italic> (an isolate from a municipal WWTP located in Stockholm, Sweden) were used to remove KTP from urban wastewater in a fluidized bed pelleted bioreactor (<xref ref-type="bibr" rid="ref48">Dalecka et al., 2021</xref>). The study showed that both fungi removed KTP (50&#x2009;mg/L), achieving an over 90% removal rate. Furthermore, <italic>Trametes versicolor</italic> DSM 6401 and <italic>Aspergillus luchuensis</italic> accomplished the pharmaceutical removal through biosorption mechanisms, which could provide important biotechnological advantages by avoiding byproduct synthesis and minimizing energy costs.</p>
<p>When considering members of Ascomycota as potential degraders of pharmaceutical pollutants, <xref ref-type="bibr" rid="ref117">Ledezma-Villanueva et al. (2022)</xref> isolated a strain of <italic>Cladosporium cladosporioides</italic> from sewage sludge that exhibited the ability to degrade KTP. The strain successfully eliminated 90% of KTP (100&#x2009;&#x03BC;M) for 21&#x2009;days. In a subsequent study, the authors constructed a pilot-scale two-stage mesophilic anaerobic digestion system to remove pharmaceutical pollutants from sewage sludge. They selected an artificial microbial consortium composed of the fungi <italic>Penicillium oxalicum</italic> XD-3.1, <italic>Penicillium raistrickii</italic> and <italic>Alternaria alternata</italic>, <italic>Cladosporium cladosporioides</italic> and the bacterium <italic>Micrococcus yunnanensis</italic>. This consortium eliminated 100&#x2009;&#x03BC;M KTP within 10&#x2009;days, resulting in the production of two nontoxic metabolites: (2-[(3-hydroxy(phenyl)methyl)phenyl]-propanoic acid and (3-ethylphenyl)(phenyl)methadone (<xref rid="fig2" ref-type="fig">Figure 2</xref>) (<xref ref-type="bibr" rid="ref10">Angeles-de Paz et al., 2023</xref>).</p>
<p>Unfortunately, working with fungi for the elimination of pharmaceutical pollutants from natural environments can be ineffective. In a study by <xref ref-type="bibr" rid="ref152">Olic&#x00F3;n-Hern&#x00E1;ndez et al. (2021)</xref>, <italic>Penicillium oxalicum</italic> XD-3.1 was employed in a fluidized batch bioreactor to treat real hospital wastewater containing KTP. The results were discouraging as only a minimal reduction in KTP concentration was achieved. It is worth noting that the wastewater also contained other NSAIDs such as diclofenac, ibuprofen, mefenamic acid, and naproxen, along with various antibiotics. The initial concentration of KTP in the wastewater was 9455&#x2009;&#x00B1;&#x2009;289&#x2009;ng/L, and during the 96&#x2009;h of the bioreactor operation, the XD-3.1 strain showed modest removal of KTP (2.6%). Additionally, <italic>Penicillium</italic> <italic>oxalicum</italic> XD-3.1 inhibited local fungal populations, including opportunistic human pathogens such as <italic>Mycosphaerella</italic> and <italic>Drechslera</italic> (<xref ref-type="bibr" rid="ref152">Olic&#x00F3;n-Hern&#x00E1;ndez et al., 2021</xref>).</p>
<p>Although the utilization of fungi as biodegraders of KTP shows promise, further extensive studies are needed to fully explore the potential and limitations of this approach. Identification of degradation metabolites and evaluation of their toxicity will enhance our understanding of the efficacy and safety of employing fungi in the biodegradation of KTP and other pharmaceutical pollutants.</p>
</sec>
<sec id="sec14">
<label>4.2.</label>
<title>Bacterial degradation of ketoprofen</title>
<p>Bacteria are known for their ability to metabolize a broad spectrum of recalcitrant compounds and are preferred over fungi in biotechnological processes. This preference is largely due to bacteria&#x2019;s non-mycelial growth, which mitigates concerns related to biomass accumulation on internal bioreactor surfaces (<xref ref-type="bibr" rid="ref216">Tyumina et al., 2020</xref>). Currently, several documented studies have explored the use of both individual bacterial strains and microbial consortia for the removal of KTP. The utilization of individual bacterial cultures not only enables the complete elimination of pollutants but also facilitates the identification of biodegradation products and metabolic pathways. Furthermore, it allows for a detailed examination of the mechanisms governing the interaction between bacterial cells and pharmaceutical pollutants along with the identification of relevant bacterial adaptation mechanisms (<xref ref-type="bibr" rid="ref96">Ivshina et al., 2019</xref>, <xref ref-type="bibr" rid="ref94">2021a</xref>,<xref ref-type="bibr" rid="ref95">b</xref>).</p>
<p>In a study by <xref ref-type="bibr" rid="ref158">Palyzov&#x00E1; et al. (2018)</xref>, the efficiency of bacterial degradation of several analgesic substances including codeine, diclofenac, ibuprofen, and KTP was examined. The researchers discovered that a gram-negative strain named <italic>Raoultella</italic> sp. KDF8, which was isolated from composted waste, exhibited the capability to degrade KTP (1&#x2009;g/L) by approximately 60&#x2009;&#x00B1;&#x2009;1.76% within a 96-h period at 28&#x00B0;C (<xref ref-type="bibr" rid="ref158">Palyzov&#x00E1; et al., 2018</xref>).</p>
<p>Through a large-scale screening of stress-tolerant actinomycetes from the Regional Specialized Collection of Alkanotrophic Microorganisms [acronym IEGM, the large-scale research facilities (USU) #73559, the core facilities (CKP) #480868, the World Federation for Culture Collections (WFCC) #285; <ext-link xlink:href="http://www.iegmcol.ru" ext-link-type="uri">http://www.iegmcol.ru</ext-link>], we identified <italic>Rhodococcus erythropolis</italic> IEGM 746 as a strain capable of degrading approximately 40% of 100&#x2009;mg/L KTP withinn 14&#x2009;days (<xref ref-type="bibr" rid="ref20">Bazhutin et al., 2022</xref>). Respirometric analysis confirmed the high catalytic activity of rhodococci in the presence of KTP, while atomic force microscopy revealed morphometric changes in cells induced by the NSAID.</p>
<p>The use of bacterial consortia can increase the number of involved catabolic pathways, thereby enhancing the efficiency of removal and biodegradation of pharmaceutical pollutants and even leading to their complete mineralization (<xref ref-type="bibr" rid="ref232">Wojcieszy&#x0144;ska et al., 2014</xref>; <xref ref-type="bibr" rid="ref215">Tripathi et al., 2021</xref>). <xref ref-type="bibr" rid="ref92">Ismail et al. (2016)</xref> investigated the potential of artificial consortia for removing KTP as the sole carbon source. They found that a consortium of strains, including <italic>Raoultella ornithinolytica</italic> B6, <italic>Pseudomonas aeruginosa</italic> JPP, <italic>Pseudomonas</italic> sp. P16 and <italic>Stenotrophomonas</italic> sp. 5LF 19TDLC, which were isolated from wastewater, could degrade KTP (5&#x2009;&#x03BC;M) at a rate of 33&#x2009;&#x03BC;g/h, achieving the complete removal within 48&#x2009;h (<xref ref-type="bibr" rid="ref92">Ismail et al., 2016</xref>). The bioconversion process resulted in the formation of three by-products: (3-ethylphenyl)(phenyl)methanone, (3-hydroxyphenyl)(phenyl)methanone, and (3-hydroxyphenyl)(oxo)acetic acid. Their structural formulas are presented in <xref rid="fig2" ref-type="fig">Figure 2</xref>.</p>
<p>In recent years, there has been a growing interest in a system that combines microalgae and bacteria due to its versatility. This approach not only enables the purification of wastewater but also helps to reduce the cost of aeration. Moreover, the biomass generated from this system can have various applications, including animal feed production and utilization in the medical, pharmaceutical, and industrial sectors (<xref ref-type="bibr" rid="ref225">Wang et al., 2013</xref>). Building upon their previous research, <xref ref-type="bibr" rid="ref91">Ismail et al. (2017)</xref> further investigated the potential of a consortium comprising bacterial biomass supplemented with the green microalgae <italic>Chlorella</italic> sp. Iso4. This consortium decomposed KTP at a rate of 3.5&#x2009;&#x03BC;g/h for 10&#x2009;days after a lag phase of approximately 24&#x2009;h. Subsequently, the authors used the same technology in a photobioreactor and combined four gram-negative bacterial strains with microalgae to remove a mixture of KTP (0.5&#x2009;mM), aspirin/salicylic acid (0.5&#x2009;mM), and paracetamol (0.4&#x2009;mM). Throughout the degradation period (28&#x2009;days), p-aminophenol, an intermediate product of paracetamol, was observed. It is important to note that p-aminophenol is known to be mutagenic and toxic. However, this observation did not impede the nearly complete biodegradation (97%) of the NSAID cocktail within 4&#x2009;days of hydraulic retention (<xref ref-type="bibr" rid="ref91">Ismail et al., 2017</xref>).</p>
</sec>
<sec id="sec15">
<label>4.3.</label>
<title>Degradation of ketoprofen by natural microbial communities</title>
<p>The conventional methods used to evaluate the bacterial degradation potential, which rely on cultivation-based approaches, underestimate the extensive diversity present in natural ecosystems and hinder the understanding of complex microbial assemblages. Recognizing the significant influence of microbial activity, abundance, diversity, and community structure on bioremediation strategies, researchers have begun to focus more on the ability of natural microbial communities, particularly those found in WWTPs, to degrade pharmaceuticals and the changes they undergo when exposed to these compounds (<xref ref-type="bibr" rid="ref198">Siles and Margesin, 2018</xref>; <xref ref-type="bibr" rid="ref25">B&#x00F4;to et al., 2021</xref>).</p>
<p>One area of research has focused on the metabolism of KTP by ammonia-oxidizing bacteria. In a study conducted in Kitakyushu, Japan, biomass was collected from an aerobic tank in a WWTP and then used in a membrane bioreactor to break down a range of targeted pharmaceuticals and personal care products (45 compounds) in two stages. In the first stage, nitrifying bacteria oxidized ammonia to nitrate, facilitating the cometabolism of certain pollutants through non-specific enzymes, such as ammonia monooxygenases. In the second stage, after ammonia consumption, the targeted compounds, including KTP, were degraded alongside endogenous respiration (decay) in the absence of external organic matter or ammonia. The study reported a KTP biodegradation rate coefficient of 1.713&#x2009;L/g VSS (volatile suspended solids) day (<xref ref-type="bibr" rid="ref162">Park et al., 2017</xref>).</p>
<p>In a recent study on the removal of KTP, a sulfur-driven autotrophic denitrification bioreactor was employed. The biotransformation of KTP (100&#x2009;&#x03BC;g/L) occurred over a period of 120&#x2009;days and was initiated by the restoration of the ketone group through a series of oxidation/reduction and hydroxylation reactions. This process resulted in the formation of five intermediate products (see <xref rid="fig2" ref-type="fig">Figure 2</xref>): (3-(1-hydroxyethyl)phenyl)(phenyl)methanone, (3-(1-hydroxyethyl)phenyl)(3-hydroxyphenyl)methanone, (3-hydroxyphenyl)phenyl)methanone, 2-(3-(carboxy(hydroxy)methylphenyl)propanoic acid, and 2-(3-(carbonylcarbonyl)phenyl)-3-hydroxypropanoic acid. Furthermore, <italic>Methyloversatilis</italic>, <italic>Methylotenera</italic>, and <italic>Hyphomicrobium</italic> were identified as the dominant genera involved in the process of KTP biotransformation, with an efficiency of 55.4%&#x2009;&#x00B1;&#x2009;0.7%. At lower initial concentrations of KTP (25 and 50&#x2009;&#x03BC;g/L), complete degradation was achieved within 5&#x2009;days (<xref ref-type="bibr" rid="ref89">Huang et al., 2023</xref>).</p>
<p>In another study conducted by <xref ref-type="bibr" rid="ref59">Escuder-Gilabert et al. (2018)</xref>, activated sludge collected from the aerated tanks of municipal WWTPs in Valencia, Spain, was utilized for the bioconversion of racemic ibuprofen and KTP at concentrations of 100&#x2009;mg/L each. The bacterial degradation of KTP was completed after 25&#x2009;days of incubation. Chromatographic analysis showed similar peak areas and biodegradation values for both enantiomers, indicating that the biodegradation of KTP by microorganisms in this case was apparently not enantioselective (<xref ref-type="bibr" rid="ref59">Escuder-Gilabert et al., 2018</xref>).</p>
<p>Membrane bioreactors are a well-established technology in water management for wastewater treatment and reuse. These systems offer advantages such as the production of high-quality effluent, compact footprint, and minimal sludge generation (<xref ref-type="bibr" rid="ref78">Gurung et al., 2019</xref>). Membrane bioreactors integrate a biological process with membrane filtration, where biomass biodegradation occurs within the bioreactor tank, and the separation of treated wastewater from microorganisms takes place within a membrane module (<xref ref-type="bibr" rid="ref4">Al-Asheh et al., 2021</xref>). In the context of KTP removal, membrane bioreactors have been successfully applied, achieving almost complete removal (97.4%) of KTP at concentrations of about 200&#x2009;ng/L from real wastewater (<xref ref-type="bibr" rid="ref78">Gurung et al., 2019</xref>).</p>
<p>Few studies have been conducted to investigate the removal of KTP under anaerobic conditions. In an anaerobic membrane bioreactor, the elimination of hydrophilic compounds, including KTP, was found to be low (up to 40%). However, the addition of biochar enhanced the removal process (<xref ref-type="bibr" rid="ref118">Lei et al., 2022</xref>). Another study documented a low degree of KTP removal (&#x003C;20%) in the sulfate-reducing bacteria sludge system (<xref ref-type="bibr" rid="ref99">Jia et al., 2019</xref>). The use of anaerobic granular sludge systems did not result in any KTP removal (<xref ref-type="bibr" rid="ref62">Faria et al., 2022</xref>). In a sulfidogenic fluidized bed bioreactor used to treat acidic metal-containing water and hospital wastewater, the rate of KTP removal was only 41.9% (<xref ref-type="bibr" rid="ref123">Makhathini et al., 2021</xref>). In a separate study involving a two-stage mesophilic anaerobic digestion process (acidogenic and methanogenic, connected in series), the removal of KTP from wastewater was 53% (<xref ref-type="bibr" rid="ref65">Gallardo-Altamirano et al., 2021</xref>). Interestingly, the relative abundance of the class <italic>Clostridia</italic> (<italic>Bacillota</italic>) as well as the families <italic>Propionibacteriaceae</italic> (<italic>Actinomycetota</italic>) and <italic>Cytophagaceae</italic> (<italic>Bacteroidota</italic>), and the versatile methanogenic genus <italic>Methanosarcina</italic>, showed strong correlations with the presence of KTP in the system.</p>
</sec>
<sec id="sec16">
<label>4.4.</label>
<title>Enzyme-based degradation of ketoprofen</title>
<p>Enzyme bioremediation is a process of using naturally occurring enzymes to break down and degrade pollutants in the environment. Laccases (EC 1.10.3.2) are multi-copper oxidoreductases that catalyze the oxidation of numerous persistent organic pollutants and have proven to be effective in degrading various pharmaceuticals, including ibuprofen, naproxen, and diclofenac (<xref ref-type="bibr" rid="ref237">Yang et al., 2017</xref>). The use of laccases in pharmaceutical biodegradation is an eco-friendly and cost-effective solution for reducing the environmental impact of pharmaceutical residues. Furthermore, the biodegradation process facilitated by laccases is selective and specific, providing a targeted approach for removing pharmaceuticals from the environment.</p>
<p>Recent studies have focused on the immobilization of laccases to enhance their efficiency in biodegradation. A study by <xref ref-type="bibr" rid="ref11">Apriceno et al. (2019)</xref> investigated the potential use of chitosan-immobilized laccases from the white-rot fungus <italic>Trametes versicolor</italic> for the biodegradation of commonly encountered micropollutants such as KTP, diclofenac, and naproxen. The research findings revealed that the use of a biocatalyst facilitated the removal of 23% of KTP (100&#x2009;mg/mL) within 7&#x2009;days.</p>
<p>A similar study was conducted using a microfilter composed of hollow polysulfone fibers with tyrosinases and laccases from <italic>Trametes versicolor</italic> for the removal of 14 pharmaceuticals (antibiotics, NSAIDs, etc.) in a novel hybrid bioreactor (<xref ref-type="bibr" rid="ref17">Ba et al., 2018</xref>). The findings demonstrated that this system effectively eliminated most pharmaceutical pollutants, irrespective of the dominant removal mechanism, whether enzymatic or sorption-based. Specifically, for KTP (10&#x2009;&#x03BC;g/L), a remarkable 95% transformation was achieved within 24&#x2009;h. Although the precise mechanisms underlying the removal of KTP were not fully elucidated, the authors proposed that the bioreactor&#x2019;s membrane may contribute to heterogeneous catalysis by adsorbing the targeted pharmaceuticals and other compounds from wastewater.</p>
<p>Another study showed that the oxidative activity of laccase towards KTP and aspirin (25&#x2009;mg/L) increased through adsorption immobilization of the enzyme on date stones (<xref ref-type="bibr" rid="ref9">Al-sareji et al., 2023</xref>). In addition to achieving nearly complete removal of the pharmaceuticals within 4&#x2009;h, laccase exhibited high activity over several cycles. This study highlights the significance of recycling, particularly the use of agricultural waste as adsorbents in biotechnology.</p>
<p>A novel approach involved the development of biocatalytic membranes by incorporating commercially available cellulose membranes with oxidoreductase enzymes, including laccase, tyrosinase, and horseradish peroxidase. These membranes were utilized for the removal of micropollutants from real wastewater samples (<xref ref-type="bibr" rid="ref241">Zdarta and Zdarta, 2022</xref>). The findings from the study revealed that the laccase-membrane system exhibited the highest efficacy in reducing KTP. Moreover, the catalysts developed in this study demonstrated promising characteristics for storage and reuse, underscoring their practical applicability and potential for sustainable use in water treatment processes.</p>
<p>Nevertheless, not all studies have yielded positive results regarding the efficiency of immobilized enzymes in removing KTP. For instance, <xref ref-type="bibr" rid="ref97">Jahangiri et al. (2018)</xref> conducted a study where they employed electron beam irradiation to cross-link laccase derived from <italic>Phoma</italic> sp. UHH 5-1-03 onto polyvinylidene fluoride membranes. Unfortunately, both batch and continuous treatments for the removal of KTP (10&#x2009;&#x03BC;M) from wastewater resulted in only 15 and 2% removal, respectively.</p>
<p>The degradation of KTP by microorganisms, including fungi and bacteria, has been extensively studied. Fungi, particularly white-rot fungi such as <italic>Trametes</italic> spp., <italic>Pleurotus</italic> spp., <italic>Phanerochaete</italic> spp., and <italic>Irpex</italic> spp., have shown effective degradation of KTP, either individually or in combination with other pharmaceutical pollutants. Isolated enzymes found in fungi, such as laccases with their high oxidation activity, can also be efficiently utilized. As for bacteria, they have exhibited less biodegradation activity. However, the use of gram-negative bacterial consortia can significantly enhance the rate of KTP biodegradation. Additionally, promising approaches such as immobilization techniques, bacterial consortia, and combinations with microalgae have shown potential in improving the removal efficiency of KTP.</p>
<p>Therefore, it is important to note that while there are effective methods for removing KTP from wastewater using whole-cell and enzyme biocatalysts, the potential formation of toxic byproducts should not be overlooked. This highlights the importance of not only finding efficient ways to remove micropollutants but also considering the potential environmental impact of the removal process itself. Ultimately, the pharmaceutical industry needs to implement more responsible disposal strategies to minimize the overall impact of these compounds on the environment.</p>
</sec>
<sec id="sec17">
<label>4.5.</label>
<title>Algal adsorption of ketoprofen</title>
<p>In addition to biodegradation, sorption and adsorption technologies offer effective means of removing pharmaceutical pollutants from water. Sorption and adsorption technologies involve the physical binding of pharmaceutical contaminants to solid surfaces or materials. Common sorbent materials include algal biomass, activated carbon and other porous materials with high surface areas.</p>
<p>The application of adsorption processes, including biosorption, has shown a high potential for the eliminations of pharmaceuticals (<xref ref-type="bibr" rid="ref68">Georgin et al., 2022</xref>). Although the use of algae for the removal of NSAIDs is a relatively new area of research, several studies have reported their effectiveness in addressing pharmaceutical contamination. In particular, macroalgae are mainly used to treat waste generated during pharmaceutical manufacturing since they serve as a carbon substrate for the formation of a porous and robust material, acting as an adsorbent (<xref ref-type="bibr" rid="ref24">Boakye et al., 2019</xref>). For example, <xref ref-type="bibr" rid="ref153">Ouasfi et al. (2019)</xref> investigated the biosorption of KTP from an aqueous solution using brown seaweed <italic>Laminaria digitata</italic>, which was collected in El Jadida on the West Atlantic coast of Morocco. The maximum adsorption capacity for KTP (150&#x2009;mg/L) at 25&#x00B0;C and pH 3.4 was 443.45&#x2009;mg/g, and its biosorption efficiency within 1&#x2009;hour was 86.12% (<xref ref-type="bibr" rid="ref153">Ouasfi et al., 2019</xref>).</p>
<p>Microalgae have also been explored for their potential in eliminating pharmaceutical pollutants. <xref ref-type="bibr" rid="ref87">Hifney et al. (2021)</xref> conducted a study that specifically examined the use of <italic>Chlorella</italic> sp. cells for the adsorption of diclofenac (2.5&#x2009;mg/L) and KTP (5&#x2009;mg/L) from aqueous solutions. The <italic>Chlorella</italic> sp. culture used in the study was isolated from a polluted site in Assiut Governorate, Egypt. It is worth noting that the <italic>Chlorella</italic> genus is recognized for its high resistance to various stressful conditions. The study demonstrated that the adsorption of KTP onto the cells was initially slow, but it significantly increased over time as the contact time between the pharmaceutical compound and <italic>Chlorella</italic> sp. cells increased. Furthermore, over 75% of diclofenac and 60% of KTP were removed within 90 and 60&#x2009;min, respectively. However, a gradual decrease in adsorption efficiency was observed thereafter due to the desorption phenomenon. This observation emphasized the significance of the contact time as a critical parameter in achieving optimal removal of xenobiotics and preventing the process of desorption over extended periods (<xref ref-type="bibr" rid="ref69">Godos et al., 2009</xref>; <xref ref-type="bibr" rid="ref87">Hifney et al., 2021</xref>).</p>
</sec>
<sec id="sec18">
<label>4.6.</label>
<title>Phytoremediation of ketoprofen</title>
<p>Phytoremediation, also known as &#x201C;plant-based remediation,&#x201D; utilizes the natural abilities of plants to clean up the environment. Plants are capable of extracting, accumulating, and detoxifying the contaminants present in soil, air, and water through various physical, chemical, and biological processes.</p>
<p>Plant-assisted bioremediation of water contaminants is primarily utilized in constructed wetlands, which are water treatment systems that employ microbial communities, wetland plants, and natural soil processes to enhance water quality. In Tuscany, Italy, constructed wetlands planted with herbaceous species <italic>Phragmites australis</italic> (common reed) and trees <italic>Salix matsudana</italic> (willow) were used for removing nonylphenols and pharmaceuticals (atenolol, diclofenac, KTP, triclosan) from wastewater (<xref ref-type="bibr" rid="ref64">Francini et al., 2018</xref>). The presence of both plants resulted in an over 80% removal efficiency of KTP. However, as noted by the authors, the removal of KTP from the water was due to its accumulation in the plants and sorption on gravel. In addition, the research demonstrated that KTP was absorbed by willow (125&#x2009;ng/g) at greater levels compared to common reed (75&#x2009;ng/g). <xref ref-type="bibr" rid="ref182">Ren et al. (2023)</xref> investigated the removal of KTP in constructed wetlands under various saturation conditions, and the efficiency of KTP removal was 50&#x2013;99.7%. <xref ref-type="bibr" rid="ref193">S&#x00E1;nchez et al. (2022)</xref> constructed a pilot-scale system comprising a hybrid digester as the first step, a subsurface vertical flow constructed wetland as the second step with effluent recirculation, and a photodegradation unit as the third step/post-treatment. Using that system, KTP and other NSAIDs were completely removed (&#x003E;99.5 %). The high effectiveness of KTP elimination from real wastewater using aerated constructed wetlands was also confirmed by <xref ref-type="bibr" rid="ref15">&#x00C1;vila et al. (2021)</xref>.</p>
<p>Indeed, while adsorption and phytoaccumulation are effective in removing pharmaceutical pollutants, they may not eliminate all contaminants entirely. Other substances present in water can compete with pharmaceuticals for adsorption sites, potentially reducing the elimination efficiency. Adsorption itself is a non-selective process, meaning it does not specifically target particular pollutants but instead relies on the affinity between the adsorbent material and a wide range of molecules.</p>
<p>Furthermore, the bioaccumulation of xenobiotics in macrophytes can pose ecological risks, particularly if these plants are consumed by herbivores or if they decompose and release the accumulated compounds back into the environment. Additionally, the persistence of these compounds within plant tissues may limit the overall effectiveness of phytoremediation because bioaccumulated xenobiotics can remain in the system even after the macrophytes are harvested or decay.</p>
<p>To address these limitations, it may be useful to combine adsorption and bioaccumulation with other treatment techniques, such as biological degradation or advanced oxidation processes, to enhance the overall removal efficiency. By employing a multi-step approach, it becomes possible to target a broader spectrum of pollutants and achieve more comprehensive remediation of contaminated environments.</p>
</sec>
</sec>
<sec sec-type="conclusions" id="sec19">
<label>5.</label>
<title>Conclusion</title>
<p>In light of the growing emphasis on environmental sustainability, monitoring of pharmaceutical pollutants, including those from hospital and municipal wastewater, has become crucial. Efforts are being made to establish observatories and promote a circular economy where valuable substances can be recovered from WWTPs instead of being discarded.</p>
<p>This review has examined the environmental pollution caused by KTP, including its occurrence, fate, removal and biodegradation, and associated risks. While abundant studies have investigated the detection of KTP in aquatic environments, our understanding of its presence in soil, terrestrial flora and fauna is limited. Consequently, comprehensively assessing the true extent of its toxic effects and the implications of its accumulation in ecosystems poses a challenge. Moreover, additional research is needed to explore the potential toxicity of KTP degradation products and their interactions with other xenobiotics.</p>
<p>Although KTP is generally considered persistent in the environment, recent studies have shown its potential for biodegradation, suggesting that natural attenuation processes may contribute to its reduction. Fungi have been extensively investigated for KTP biodegradation, but research on bacteria, plants, algae, and specific enzymes is emerging as potential avenues for KTP removal. However, the efficacy of KTP removal depends on various parameters, including its physico-chemical characteristics. The complex chemical composition of KTP contributes to its poor sorption and high desorption abilities, and the presence of certain functional groups can reduce its susceptibility to oxidative catabolism.</p>
<p>Despite the considerable progress, there are still gaps in our knowledge regarding the degradation of KTP. It is crucial to identify and characterize the decomposition products of KTP and to further investigate the role of microbial communities in the degradation process. These efforts will contribute to a better understanding of the environmental impact of KTP and enhance the efficiency of its removal.</p>
</sec>
<sec id="sec20">
<title>Author contributions</title>
<p>II coordinated the work, secured research funding, reviewed, and edited the manuscript. ET drafted the manuscript. MS, MP, and ST contributed to data collection, analysis, and manuscript preparation. All authors contributed to the article and approved the submitted version.</p>
</sec>
<sec sec-type="funding-information" id="sec21">
<title>Funding</title>
<p>This work was supported by the Russian Science Foundation grant (no. 21-14-00132).</p>
</sec>
<sec sec-type="COI-statement" id="sec22">
<title>Conflict of interest</title>
<p>The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.</p>
</sec>
<sec id="sec100" sec-type="disclaimer">
<title>Publisher&#x2019;s note</title>
<p>All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.</p>
</sec>
</body>
<back>
<ack>
<p>The work was carried out using the equipment of The Core Facilities Centers &#x201C;Regional Specialized Collection of Alkanotrophic Microorganisms&#x201D; and &#x201C;Research of Materials and Matter&#x201D; at PFRC UB RAS.</p>
</ack>
<sec sec-type="supplementary-material" id="sec23">
<title>Supplementary material</title>
<p>The Supplementary material for this article can be found online at: <ext-link xlink:href="https://www.frontiersin.org/articles/10.3389/fmicb.2023.1200108/full#supplementary-material" ext-link-type="uri">https://www.frontiersin.org/articles/10.3389/fmicb.2023.1200108/full#supplementary-material</ext-link></p>
<supplementary-material xlink:href="Image_1.PDF" id="SM1" mimetype="application/pdf" xmlns:xlink="http://www.w3.org/1999/xlink"/>
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