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<front>
<journal-meta>
<journal-id journal-id-type="publisher-id">Front. Environ. Sci.</journal-id>
<journal-title>Frontiers in Environmental Science</journal-title>
<abbrev-journal-title abbrev-type="pubmed">Front. Environ. Sci.</abbrev-journal-title>
<issn pub-type="epub">2296-665X</issn>
<publisher>
<publisher-name>Frontiers Media S.A.</publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id pub-id-type="publisher-id">1141562</article-id>
<article-id pub-id-type="doi">10.3389/fenvs.2023.1141562</article-id>
<article-categories>
<subj-group subj-group-type="heading">
<subject>Environmental Science</subject>
<subj-group>
<subject>Original Research</subject>
</subj-group>
</subj-group>
</article-categories>
<title-group>
<article-title>Shift of combined ecotoxicity index in petroleum polluted soils during a bacterial remediation</article-title>
<alt-title alt-title-type="left-running-head">Chai et al.</alt-title>
<alt-title alt-title-type="right-running-head">
<ext-link ext-link-type="uri" xlink:href="https://doi.org/10.3389/fenvs.2023.1141562">10.3389/fenvs.2023.1141562</ext-link>
</alt-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<name>
<surname>Chai</surname>
<given-names>Xiaoyun</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/2168211/overview"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Wang</surname>
<given-names>Mutian</given-names>
</name>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/1175636/overview"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Fu</surname>
<given-names>Xiaowen</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/1422165/overview"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Zhang</surname>
<given-names>Wen</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Huang</surname>
<given-names>Yujie</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/2000030/overview"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Germaine</surname>
<given-names>Kieran J.</given-names>
</name>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/198817/overview"/>
</contrib>
<contrib contrib-type="author" corresp="yes">
<name>
<surname>Wang</surname>
<given-names>Jianing</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<xref ref-type="corresp" rid="c001">&#x2a;</xref>
<uri xlink:href="https://loop.frontiersin.org/people/1731927/overview"/>
</contrib>
</contrib-group>
<aff id="aff1">
<sup>1</sup>
<institution>Shandong Provincial Key Laboratory of Applied Microbiology</institution>, <institution>Ecology Institute</institution>, <institution>Qilu University of Technology (Shandong Academy of Sciences)</institution>, <addr-line>Jinan</addr-line>, <country>China</country>
</aff>
<aff id="aff2">
<sup>2</sup>
<institution>EnviroCORE</institution>, <institution>Dargan Research Centre</institution>, <institution>South East Technological University</institution>, <institution>Carlow Campus</institution>, <addr-line>Carlow</addr-line>, <country>Ireland</country>
</aff>
<author-notes>
<fn fn-type="edited-by">
<p>
<bold>Edited by:</bold> <ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/1616901/overview">Guanlong Yu</ext-link>, Changsha University of Science and Technology, China</p>
</fn>
<fn fn-type="edited-by">
<p>
<bold>Reviewed by:</bold> <ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/1282243/overview">Muhammad Imran Khan</ext-link>, University of Agriculture, Faisalabad, Pakistan</p>
<p>
<ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/538167/overview">Gaurav Saxena</ext-link>, Shoolini University of Biotechnology and Management Sciences, India</p>
</fn>
<corresp id="c001">&#x2a;Correspondence: Jianing Wang, <email>wangjn@sdas.org</email>
</corresp>
<fn fn-type="other">
<p>This article was submitted to Toxicology, Pollution and the Environment, a section of the journal Frontiers in Environmental Science</p>
</fn>
</author-notes>
<pub-date pub-type="epub">
<day>09</day>
<month>03</month>
<year>2023</year>
</pub-date>
<pub-date pub-type="collection">
<year>2023</year>
</pub-date>
<volume>11</volume>
<elocation-id>1141562</elocation-id>
<history>
<date date-type="received">
<day>10</day>
<month>01</month>
<year>2023</year>
</date>
<date date-type="accepted">
<day>28</day>
<month>02</month>
<year>2023</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright &#xa9; 2023 Chai, Wang, Fu, Zhang, Huang, Germaine and Wang.</copyright-statement>
<copyright-year>2023</copyright-year>
<copyright-holder>Chai, Wang, Fu, Zhang, Huang, Germaine and Wang</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>
<bold>Introduction:</bold> Bioremediation has been shown to be an effective strategy for removing toxic pollutants from the environment, particularly organic chemicals such as petroleum hydrocarbons. This paper investigates the changes in toxicity of petroleum-contaminated soil as a result of microbial remediation processes.</p>
<p>
<bold>Methods:</bold> Changes in the ecotoxicity of the contaminated soil were examined using a plant, earthworm, enzyme activity and luminescent bacteria toxicity tests.</p>
<p>
<bold>Results:</bold> The results showed that bioremediation could effectively degrade petroleum hydrocarbon (C<sub>10</sub>&#x2013;C<sub>40</sub>) pollutants. After 42&#xa0;days of remediation, the petroleum hydrocarbon (C<sub>10</sub>&#x2013;C<sub>40</sub>) content of Group A (bioaugmented polluted wetland soil) decreased from 1.66&#xa0;g/kg to 1.00&#xa0;g/kg, and the degradation rate was 40.6%. The petroleum hydrocarbon (C<sub>10</sub>&#x2013;C<sub>40</sub>) content of Group B (bioaugmented polluted farmland soil decreased from 4.00&#xa0;g/kg to 1.94&#xa0;g/kg, and the degradation rate was 51.6%. During the microbial remediation progress, the ecological toxicity of petroleum-contaminated soil first increased and then decreased. The photosynthetic pigment content index in the higher plant toxicity test, the earthworm survival index and the soil catalase activity all showed good agreement with the relative luminescence index of extracted DCM/DMSO in the luminescent bacterial toxicity test. The soil toxicity decreased significantly after remediation. Specifically, the photosynthetic pigment content of wheat were inhibited in the soil during the whole process (remediation for 42&#xa0;days), and decreased to the minimum on remediation day 21. The 7-day and 14-day survival rate of earthworms in Group A and Group B gradually decreased in the soil remediation process, and then gradually increased, survival rate at the end of remediation was higher than at the beginning. Soil catalase activity was significantly negatively correlated with petroleum hydrocarbon (C<sub>10</sub>&#x2013;C<sub>40</sub>) content (&#x2212;0.988, &#x2212;0.989). The ecological toxicity of contaminated soil reached to the maximum on the 21st day of remediation, relative luminosity of luminescent bacteria in dichloromethane/dimethyl sulfoxide extracts from Group A and Group B were 26.3% and 16.3%, respectively.</p>
<p>
<bold>Conclusion:</bold> Bioremediation could effectively degrade petroleum hydrocarbon (C<sub>10</sub>&#x2013;C<sub>40</sub>) pollutants. Wheat photosynthetic pigment content, earthworm survival rate, soil catalase activity and relative luminescence of luminescent bacteria can better indicate the ecological toxicity of petroleum-contaminated soil in bioremediation process.</p>
</abstract>
<kwd-group>
<kwd>soil</kwd>
<kwd>petroleum</kwd>
<kwd>bioremediation</kwd>
<kwd>ecotoxicity</kwd>
<kwd>soil enzyme activity</kwd>
<kwd>luminescent bacteria</kwd>
</kwd-group>
<contract-num rid="cn001">2019YFC1804103</contract-num>
<contract-sponsor id="cn001">National Key Research and Development Program of China<named-content content-type="fundref-id">10.13039/501100012166</named-content>
</contract-sponsor>
</article-meta>
</front>
<body>
<sec id="s1">
<title>Highlights</title>
<p>
<list list-type="simple">
<list-item>
<p>&#x2022; The degradation rate of petroleum-contaminated soil was 40.64% and 51.56% after microbial remediation.</p>
</list-item>
<list-item>
<p>&#x2022; During the remediation of petroleum-contaminated soil, the toxicity increased first and then decreased.</p>
</list-item>
<list-item>
<p>&#x2022; Soil enzyme activity is affected by petroleum content, organic matter content and soil respiration.</p>
</list-item>
<list-item>
<p>&#x2022; Ecotoxicity test of contaminated soil is helpful to determine the best remediation strategy.</p>
</list-item>
</list>
</p>
</sec>
<sec id="s2">
<title>1 Introduction</title>
<p>Petroleum is the world&#x2019;s largest energy source, accounting for up to a third of global energy demand (<xref ref-type="bibr" rid="B46">Komarova et al., 2022</xref>). Data show that global petroleum production has reached more than four billion tons per year, while annual consumption is five billion tons (<xref ref-type="bibr" rid="B98">Wang et al., 2022</xref>). However, almost every process of petroleum exploration and petrochemical production pollutes the surrounding environment (<xref ref-type="bibr" rid="B4">Alex et al., 2021</xref>). In recent years, petroleum spills have occurred frequently around the world. Due to the leakage of petroleum pipe holes, ship transportation accidents and industrial sewage, the environment of groundwater, ocean and soil has been polluted to varying degrees (<xref ref-type="bibr" rid="B50">Kuria et al., 2017</xref>; <xref ref-type="bibr" rid="B83">Shamshad et al., 2021</xref>). In China, as a result of petroleum exploitation, 100, 000 tons of contaminated soil is generated annually, the exceeding points of petroleum hydrocarbons (TPHs) accounted for 23.6%, in the sewage irrigation area (<xref ref-type="bibr" rid="B67">MEEPPC, 2014</xref>). Contamination by petroleum hydrocarbons (PHs) is a great threat to environment due to the higher persistence and bio-toxicity of PHs. Landing crude oil not only pollutes the environment, but also wastes resources and diminishes natural habitats. Therefore, removal of PHs from contaminated environment and strategies to reduce their toxic effects on living organisms are crucial for environmental safety and human health (<xref ref-type="bibr" rid="B4">Alex et al., 2021</xref>; <xref ref-type="bibr" rid="B5">Ali et al., 2021</xref>).</p>
<p>In recent years, there are more and more researches on the harmless remediation technology of petroleum-contaminated soil, including physical treatment, chemical treatment, bioremediation and phytoremediation (<xref ref-type="bibr" rid="B86">Son et al., 2021</xref>; <xref ref-type="bibr" rid="B16">Chang et al., 2022</xref>). Among them, microbial mediated bioremediation has been widely studied because of its advantages of no secondary pollution, high efficiency and low cost. Many studies often use the total concentration of pollutants in the soil as the basis for calculating the risk to human and environmental health (<xref ref-type="bibr" rid="B9">Sample et al., 1997</xref>) without considering the bioavailability of soil. However, due to the complexity of soil ecosystem and the complexity of petroleum composition, the actual risk exposure of soil depends on the bioavailability of these pollutants. Single chemical analysis cannot accurately reflect the ecological toxicity of soil (<xref ref-type="bibr" rid="B87">Stella et al., 2015</xref>). Therefore, it is recommended to combine chemical analysis with different toxicity assays to characterize the toxicity level of the contaminated soil (<xref ref-type="bibr" rid="B77">Plaza et al., 2010</xref>; <xref ref-type="bibr" rid="B41">Kanaji et al., 2014</xref>), which can reflect the complexity and superposition of pollutant toxicity. Assessment of ecological risks associated with soil contamination has become an important area of research in toxicological studies (<xref ref-type="bibr" rid="B44">Khan et al., 2013</xref>).</p>
<p>Previous studies have shown that the change of soil ecotoxicity can be monitored by a variety of test methods such as higher plant toxicity test, luminescent bacteria toxicity test, earthworm toxicity test and soil enzyme activity test (<xref ref-type="bibr" rid="B43">Khan et al., 2012</xref>; <xref ref-type="bibr" rid="B54">Libralato et al., 2016</xref>; <xref ref-type="bibr" rid="B14">Chae et al., 2020</xref>; <xref ref-type="bibr" rid="B105">Yla et al., 2020</xref>; <xref ref-type="bibr" rid="B3">Alabi et al., 2022</xref>). Due to the strong adhesion and low emulsification ability of petroleum, it is easy to adhere to the surface of soil particles or plant roots, which will affect the permeability of soil (<xref ref-type="bibr" rid="B23">Devatha et al., 2019</xref>), and further affect the absorption, transpiration and respiration of water, mineral nutrients, function of enzymes in plants, photosynthesis and membrane permeability (<xref ref-type="bibr" rid="B65">Mansur et al., 2015</xref>). And the plant species-specific differences found in seed germination and tolerance to pollutants are very large (<xref ref-type="bibr" rid="B45">Khan et al., 2014</xref>). Therefore, higher plants can comprehensively reflect the degree of soil pollution and its ecological toxicity by using their growth and development status and leaf physiological and biochemical indexes (<xref ref-type="bibr" rid="B32">Haq and Kalamdhad, 2021</xref>). <xref ref-type="bibr" rid="B80">Rivera-Cruz and Trujillo-Narc&#xed;a (2004)</xref> used five temperate plants to study the effects of different concentrations of oil-contaminated soil on their germination rate, plant height, root length, and total biomass. <xref ref-type="bibr" rid="B59">Liu et al. (2021)</xref> studied the joint toxicity of polyethylene microplastics and phenanthrene on wheat seedlings and observed their effects on wheat biomass, stem height, root length and photosynthesis. Soil invertebrates are useful soil quality indicators due to their sensitivity to disturbances in edaphic conditions (<xref ref-type="bibr" rid="B39">Julie et al., 2002</xref>). These tests are also relatively simple, cost effective and quick to execute. Earthworms are one of the most vulnerable soil invertebrates to environmental toxins and have been successfully used to evaluate the toxicity of heavy metals, antibiotics, pesticides and petroleum in soil (<xref ref-type="bibr" rid="B101">Wu et al., 2012</xref>; <xref ref-type="bibr" rid="B33">Harmanpreet et al., 2019</xref>; <xref ref-type="bibr" rid="B84">Sheng et al., 2021</xref>; <xref ref-type="bibr" rid="B19">Chen et al., 2022</xref>). Because they are bioindicators of soil pollution, <italic>Eisenia foetida</italic> (<xref ref-type="bibr" rid="B113">P&#xE9;rez-Losada et al., 2005</xref>) has long been used as a key indicator organism of ecotoxicology diagnosis (<xref ref-type="bibr" rid="B7">Amorim et al., 2011</xref>; <xref ref-type="bibr" rid="B28">Gainer et al., 2019</xref>). As an important part of soil, soil enzymes mainly come from soil microorganism, plant roots and decomposition of soil animal and plant residues (<xref ref-type="bibr" rid="B62">Ma et al., 2014</xref>). They are involved in various biochemical processes in soil, which can reflect the overall health status of soil and have potential in assessing the impact of hydrocarbons on soil health (<xref ref-type="bibr" rid="B24">Dick, 1997</xref>). They have been listed as one of the important means of testing the ecological toxicity of soil pollutants by the International Organization for Economic Cooperation and Development (OECD) and the International Organization for Standardization (ISO) (<xref ref-type="bibr" rid="B89">Tan et al., 2017</xref>). In order to evaluate the effect of crude oil on soil enzyme activity, <xref ref-type="bibr" rid="B26">Dindar et al. (2017)</xref> conducted a 150-day biostimulation remediation experiment on crude oil-contaminated soil. The results showed that the urease activity (UA) level after remediation of crude oil-contaminated soil was generally higher than the initial UA level of soil. Luminescent bacteria toxicity test has the advantages of high sensitivity, high throughput, low cost and automated analysis, which is suitable for preliminary screening of soil toxicity (<xref ref-type="bibr" rid="B35">Heinlaan et al., 2007</xref>; <xref ref-type="bibr" rid="B43">Khan et al., 2012</xref>). It has been widely used in the evaluation and monitoring of soil ecological toxicity in petroleum-contaminated soil remediation process (<xref ref-type="bibr" rid="B102">Wu et al., 2021</xref>; <xref ref-type="bibr" rid="B99">Wang et al., 2023</xref>). Studies have shown that there is a quantitative relationship between soil pollutant concentration and relative luminous intensity of luminous bacteria (<xref ref-type="bibr" rid="B106">Yu et al., 2021</xref>).</p>
<p>The above methods have their own advantages in ecological toxicity assessment. The indication and evaluation of soil ecological toxicity by different indicator organisms can effectively integrate the overall toxicity effect of different food chain organisms on toxic and harmful substances in soil, and can comprehensively reflect the soil contamination. Therefore, the microbial remediation process of petroleum-contaminated soil needs to integrate various ecological toxicity indicators and evaluation methods to make a comprehensive and scientific judgment on the safety of soil ecosystems (<xref ref-type="bibr" rid="B100">Wcislo et al., 2016</xref>). Based on this, this study used higher plant toxicity test, earthworm toxicity test, soil enzyme activity test and luminescent bacteria toxicity test to further explore any changes in the toxicity of two petroleum-contaminated soils as a result of a bioremediation treatment.</p>
</sec>
<sec sec-type="materials|methods" id="s3">
<title>2 Materials and methods</title>
<sec id="s3-1">
<title>2.1 Experimental materials</title>
<p>Test soil: The contaminated surface soil (0&#x2013;10&#xa0;cm) near the abandoned oil wells (mined in 2,000&#xa0;s&#x2013;2010&#xa0;s) in Gudao Town, Dongying City, Shandong Province was collected, and the clean surface soil (0&#x2013;10&#xa0;cm) near the selected sampling point was used as the blank control. The samples were collected according to &#x2018;The Technical Specification for soil Environmental monitoring&#x2019; (HJ/T 166&#x2013;2004) (<xref ref-type="bibr" rid="B68">National Environmental Protection Standards of the People&#x27;s Republic of China, 2004</xref>). Each soil sample is evenly mixed with four soil subsamples in equal amount, and the subsamples are distributed in four directions around the wellhead of the oil well, all about 5&#xa0;m away from the oil well. One soil sample originated from a nearby polluted wetland system (N 37&#xb0; 50&#x2032; 20&#x2033;, E 118&#xb0; 44&#x2032; 4&#x2033;): Polluted Wetland Soil (PWS), a visibly clean oil sample was taken from this site: Clean Wetland Soil (CWS). Another soil sample was taken from a polluted farmland site (N 37&#xb0; 51&#x2032; 4&#x2033;, E 118&#xb0; 45&#x2032; 15&#x2033;): Polluted farmland Soil (PFS) and a clean sample were taken from this farmland: Clean Farmland soil (CFS). The soil samples were taken back to the laboratory, the plant residues and large grained gravel were removed and the soil was dried in the shade, and then mixed evenly through 2&#xa0;mm sieve. The physical and chemical properties and TPHs content were determined. The results of this soil analysis are shown in <xref ref-type="table" rid="T1">Table 1</xref>.</p>
<table-wrap id="T1" position="float">
<label>TABLE 1</label>
<caption>
<p>Physic-chemical characteristic of soil samples.</p>
</caption>
<table>
<thead valign="top">
<tr>
<th align="center">Physic-chemical indicators</th>
<th align="center">PWS</th>
<th align="center">PFS</th>
<th align="center">CWS</th>
<th align="center">CFS</th>
<th align="center">Determination method</th>
</tr>
</thead>
<tbody valign="top">
<tr>
<td align="center">pH</td>
<td align="center">7.96</td>
<td align="center">8.54</td>
<td align="center">8.20</td>
<td align="center">8.98</td>
<td align="center">pH-meter</td>
</tr>
<tr>
<td align="center">Field capacity/%</td>
<td align="center">22.0</td>
<td align="center">21.2</td>
<td align="center">31.9</td>
<td align="center">20.4</td>
<td align="center">Ring knife method</td>
</tr>
<tr>
<td align="center">Total salt/g&#xb7;kg<sup>-1</sup>
</td>
<td align="center">2.03</td>
<td align="center">1.73</td>
<td align="center">2.01</td>
<td align="center">1.88</td>
<td align="center">Gravimetric method</td>
</tr>
<tr>
<td align="center">TPH/g&#xb7;kg<sup>-1</sup>
</td>
<td align="center">1.66</td>
<td align="center">4.00</td>
<td align="center">0</td>
<td align="center">0.03</td>
<td align="center">Gas chromatography</td>
</tr>
<tr>
<td align="center">Organic Matter/g&#xb7;kg<sup>-1</sup>
</td>
<td align="center">12.4</td>
<td align="center">16.19</td>
<td align="center">8.22</td>
<td align="center">9.52</td>
<td align="center">Potassium dichromate Oxidation Spectrophotometric Method</td>
</tr>
<tr>
<td align="center">Total N/g&#xb7;kg<sup>-1</sup>
</td>
<td align="center">0.767</td>
<td align="center">0.767</td>
<td align="center">0.537</td>
<td align="center">0.598</td>
<td align="center">Kjeldahl method</td>
</tr>
<tr>
<td align="center">Available N/mg&#xb7;kg<sup>-1</sup>
</td>
<td align="center">87.2</td>
<td align="center">96.4</td>
<td align="center">32.7</td>
<td align="center">37.7</td>
<td align="center">Alkali N-proliferation method</td>
</tr>
<tr>
<td align="center">Total P/mg&#xb7;kg<sup>-1</sup>
</td>
<td align="center">584.5</td>
<td align="center">611.4</td>
<td align="center">590.3</td>
<td align="center">607.7</td>
<td align="center">Alkali fusion&#x2013;Mo-Sb Anti Spectrophotometric method</td>
</tr>
<tr>
<td align="center">Total K/g&#xb7;kg<sup>-1</sup>
</td>
<td align="center">18.0</td>
<td align="center">18.9</td>
<td align="center">18.5</td>
<td align="center">18.8</td>
<td align="center">Atomic Absorption Spectrometry</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p>PWS, polluted wetland soil; PFS, polluted farmland soil; CWS, clean wetland soil; CFS, clean farmland soil.</p>
</fn>
</table-wrap-foot>
</table-wrap>
<p>Preparation of petroleum degrading inoculum: In this study, SWH-2 (<italic>Sphingobacterium multivorum</italic>) (<xref ref-type="bibr" rid="B53">Li et al., 2007</xref>), WG-6 (<italic>Actnetobacter calcoaceticus</italic>) (<xref ref-type="bibr" rid="B107">Zhang et al., 2014</xref>) and PPZ-1 (<italic>Pseudomonas</italic> sp.) (<xref ref-type="bibr" rid="B109">Zhang et al., 2018</xref>) were used to create a hydrocarbon degrading inoculum. These strains were previously isolated in author&#x2019;s laboratory and have a certain ability to degrade crude oil or PAHs (<xref ref-type="bibr" rid="B53">Li et al., 2007</xref>; <xref ref-type="bibr" rid="B108">Zhang et al., 2017</xref>; <xref ref-type="bibr" rid="B96">Wang et al., 2018</xref>). The above three strains were enriched and cultured, and then the isolated and purified strains were inoculated into conical flasks containing 100&#xa0;mL Luria-Bertani medium, and 0.3&#xa0;g crude oil (non-sterilized) was added to them. The bacteria were cultured in a shaker at 28&#xa0;&#xb0;C for 5 days. Finally, the three strain cultures (10<sup>9</sup>&#xa0;CFU/mL) were mixed in a 1: 1: 1 (V/V/V) to create the TPHs degrading consortia. The consortia were then added to peat samples in a 1:5 (mL/g).</p>
<p>Wheat (<italic>Triticum aestivum</italic>) seeds of &#x201c;Jimai 22&#x201d; were purchased from Fuyichun Seed Company. The seed germination rate reached 100% in the pre-experiment. Jimai 22 is the new wheat variety with the largest planting area in China, which is suitable for planting in the Huanghuai Plain (<xref ref-type="bibr" rid="B63">Ma et al., 2019</xref>). <italic>Eisenia foetida</italic> (Savigny, 1826), one of the experimental earthworm species in international standard OECD 207, was purchased from an earthworm breeding base in Jurong, China. <italic>Photobacterium phosphoreum</italic> T3 spp. freeze-dried powder was purchased from Nanjing Soil Research Institute, Chinese Academy of Sciences.</p>
</sec>
<sec id="s3-2">
<title>2.2 Remediation scheme design of petroleum-contaminated soil</title>
<p>In order to study the effect of microbial treatment on ecotoxicity of petroleum-contaminated soil, the experiment was carried out in a plastic basin of 36&#xa0;cm &#xd7; 25&#xa0;cm &#xd7; 11&#xa0;cm. A total of six groups were set up in triplicate. Each plastic basin was filled with 5&#xa0;kg dry soil, and the prepared microbial agent was inoculated into petroleum-contaminated soil in a proportion of 30&#xa0;g per 1,000&#xa0;g (3%) soil (the final concentration of inoculated consortia was 6 &#xd7; 10<sup>6</sup>&#xa0;CFU/mL per g of contaminated soil). An appropriate amount of KNO<sub>3</sub> was added to adjust C: N to 20: 1 (<xref ref-type="bibr" rid="B66">Margesin and Schinner, 2000</xref>), and according to preliminary laboratory experimental results, the soil moisture content was adjusted to 20%. The plastic basin was placed in a constant temperature incubator at 25&#xb0;C. The soil was mixed every 3&#xa0;days and water was supplemented to maintain the moisture content at 20%. The treatments were treated as follows.<list list-type="simple">
<list-item>
<p>- Group A: PWS &#x2b; 3% bacteria agent, C: N &#x3d; 20:1, soil moisture content 20%, 25&#xb0;C</p>
</list-item>
<list-item>
<p>- Group B: PFS &#x2b; 3% bacteria agent, C: N &#x3d; 20:1, soil moisture content 20%, 25&#xb0;C</p>
</list-item>
<list-item>
<p>- Group C: CWS &#x2b; 3% bacteria agent, C: N &#x3d; 20:1, soil moisture content 20%, 25&#xb0;C</p>
</list-item>
<list-item>
<p>- Group D: CFS &#x2b; 3% bacteria agent, C: N &#x3d; 20:1, soil moisture content 20%, 25&#xb0;C</p>
</list-item>
<list-item>
<p>- Group E: Untreated PWS, 25&#xb0;C</p>
</list-item>
<list-item>
<p>- Group F: Untreated PFS, 25&#xb0;C</p>
</list-item>
</list>
</p>
<p>On the 0<sup>th</sup>, 7<sup>th</sup>, 14th, 21st, 28th, 35th and 42nd day of the experiment, the soil samples of each group were collected for toxicity test.</p>
</sec>
<sec id="s3-3">
<title>2.3 Experimental method</title>
<sec id="s3-3-1">
<title>2.3.1 Extraction and content determination of petroleum hydrocarbons in soil</title>
<p>Determination method of soil TPHs (C<sub>10</sub>&#x2013;C<sub>40</sub>) content referred to &#x2018;Soil and sediment-Determination of petroleum hydrocarbons (C<sub>10</sub>&#x2013;C<sub>40</sub>)-Gas chromatography&#x2019; (HJ 1021-2019) (<xref ref-type="bibr" rid="B34">He et al., 2021</xref>). Moisture content of sediment samples was determined according to &#x2018;The specification for marine monitoring&#x2014;Part 5: Sediment analysis&#x2019; (GB 17378.5) (<xref ref-type="bibr" rid="B71">National Standards of the People&#x27;s Republic of China, 2007</xref>). TPHs were extracted by soxhlet extraction method.</p>
</sec>
<sec id="s3-3-2">
<title>2.3.2 Higher plant toxicity test</title>
<p>The ecotoxicity of petroleum-contaminated soil in remediation process was evaluated with the wheat growth test (based on OECD 208). In brief, 10 wheat seeds were evenly embedded in different soil samples (220&#xa0;g soil in each sample), with a moisture content of 60% field capacity (FC). Environmental conditions are set according to OECD 208 standard (<xref ref-type="bibr" rid="B75">Organization for Economic Co-operation and Development, 2006</xref>). The seed germination rate was recorded on the 5th day, and the plant height, fresh weight of above-ground and root fresh weight of wheat seedlings were measured on the 14th day after 50% of the control wheat emerged. Five plants for each parallel sample were selected. Photosynthetic pigment determination method was determined as previously described (<xref ref-type="bibr" rid="B81">Saric, 1978</xref>).</p>
</sec>
<sec id="s3-3-3">
<title>2.3.3 Earthworm toxicity test</title>
<p>
<italic>Eisenia foetida</italic> were raised 1&#xa0;week in advance according to the OECD 207. Experiment on earthworm mortality: Earthworms are washed and weighed before being transferred into the soil samples of different remediation periods to be tested (30 organisms per 500&#xa0;g of soil). The raising conditions are set according to OECD 207 standard (<xref ref-type="bibr" rid="B74">Organization for Economic Co-operation and Development, 1984</xref>). After 7 days and 14&#xa0;days mortalities are registered. Earthworm avoidance experiment: A 25&#xa0;cm long, 17&#xa0;cm wide and 13&#xa0;cm high container was divided into two parts with a partition plate placed in the middle of the container. One part was placed in the clean soil, and the other part was placed in the contaminated soil at different remediation periods. The partition was removed and 10 earthworms were added. The earthworms were cultured in 20&#xb0;C lightless incubator. After 48 h, the earthworms on both sides were counted. The calculation formula of avoidance rate was described (<xref ref-type="bibr" rid="B1">Achazi, 2002</xref>).</p>
</sec>
<sec id="s3-3-4">
<title>2.3.4 Detection of soil enzyme activity</title>
<p>Urease (UE) activity: By an indophenol blue method, the soil samples were incubated at 38&#xb0;C for 24&#xa0;h. The product NH<sub>3</sub>-N reacted with hypochlorite and phenol in strong alkaline medium to form water-soluble dye indophenol blue, which was determined at 578&#xa0;nm (<xref ref-type="bibr" rid="B27">Feng et al., 2008</xref>). Catalase (CAT) activity: By a colorimetric method, CAT catalyzes hydrogen peroxide to produce water and oxygen, residual hydrogen peroxide reacts with a highly sensitive chromogenic probe to produce colored substances, which was determined at 510&#xa0;nm (<xref ref-type="bibr" rid="B92">Trasar et al., 1999</xref>). Sucrase (SC) activity: By a 3, 5-dinitrosalicylic acid (DNS) method, soil samples were incubated at 37&#xb0;C for 24&#xa0;h and the reaction product reacted with 3, 5-dinitrosalicylic acid, then the resultant was determined at 540&#xa0;nm (<xref ref-type="bibr" rid="B112">Zhu et al., 2011</xref>). Polyphenol oxidase (PPO) activity: By a colorimetric method, using levodopa as substrate. Soil samples were incubated at 25&#xb0;C for 60&#xa0;min and the reaction product red quinones was determined at 475&#xa0;nm (<xref ref-type="bibr" rid="B12">Bartosz et al., 2009</xref>). Soil moisture content was measured by gravimetric method.</p>
</sec>
<sec id="s3-3-5">
<title>2.3.5 Acute toxicity test of luminescent bacteria</title>
<p>Extraction method of water extract from petroleum-contaminated soil referred to &#x2018;Solid waste&#x2014;Extraction procedure for leaching toxicity&#x2014;Horizontal vibration method&#x2019; (HJ 557-2010) (<xref ref-type="bibr" rid="B69">National Environmental Protection Standards of the People&#x27;s Republic of China, 2010</xref>). The preparation of dichloromethane (DCM)/dimethyl sulfoxide (DMSO) extract from contaminated soil was described (<xref ref-type="bibr" rid="B58">Liu et al., 2007</xref>). Determination and calculation of biological toxicity were elaborated (<xref ref-type="bibr" rid="B13">Bundy et al., 2004</xref>).</p>
</sec>
</sec>
<sec id="s3-4">
<title>2.4 Data analysis</title>
<p>All data were sorted and drawn using Excel 2022 (Microsoft, United States) and Origin 2022 (OriginLab, United States), and analyzed using SPSS Statistics 20 (IBM, United States).</p>
</sec>
</sec>
<sec sec-type="results|discussion" id="s4">
<title>3 Results and discussion</title>
<sec id="s4-1">
<title>3.1 Microbial remediation of petroleum-contaminated soil</title>
<p>Microbial remediation was carried out by adding microbial agents and appropriate nutrients to petroleum-contaminated soils. TPHs concentrations were monitored at 0<sup>th</sup>, 7<sup>th</sup>, 14th, 21st, 28th, 35th and 42nd day after inoculation. The results showed that TPHs in the contaminated soil were rapidly degraded within 0&#x2013;7 days after the addition of microbial agents, and the degradation rate of TPHs gradually slowed down after 7 days (<xref ref-type="fig" rid="F1">Figure 1</xref>). The degradation rate of Group A reached 25.6% after 7 days, and the degradation rate reached 40.6% at the end of the experiment. While the degradation rate of Group B was 31.1% on day 7, and 51.6% at the end. The degradation rate of Group B during the whole process was higher than that of Group A, probably because the high soil TPHs content of Group B could provide more abundant nutrients for microorganisms, which was conducive to microbial metabolism and reproduction. At the end of Group A degradation, the TPHs content increased, which may be due to the small change of degradation rate, resulting in insignificant change of oil content. In the early stage of remediation, microorganisms in microbial agents used carbon in petroleum as nutrients to multiply, and TPHs components degraded rapidly. During the experiment process, the degradation rate greatly slowed down. On the one hand, it may be because the n-alkanes and naphthenic hydrocarbons with less carbon were consumed in large quantities at the beginning of remediation, and then the microorganisms began to degrade the refractory aromatic hydrocarbons (<xref ref-type="bibr" rid="B15">Chaineau et al., 1995</xref>; <xref ref-type="bibr" rid="B52">Langbehn and Steinhart, 1995</xref>). On the other hand, it may be that the TPH intermediate metabolites accumulated in the degradation process, such as aldehydes, ketones, fatty acids (<xref ref-type="bibr" rid="B38">Jorgensen et al., 2000</xref>), and metabolites produced by microorganisms change the soil environment, and affect the microorganisms with TPH degradation ability, resulting in slow degradation rate. The overall concentration of group E and group F without microbial agents for natural degradation did not change significantly. The degradation rates of Group E and Group F were 1.02% and 2.03% after 42 days, respectively, which may be due to the abiotic dissipation of TPHs in soils.</p>
<fig id="F1" position="float">
<label>FIGURE 1</label>
<caption>
<p>Concentrations and degradation efficiencies of petroleum hydrocarbons (C<sub>10</sub>-C<sub>40</sub>) in different contaminated soils. The data points represent the mean values of the parameters, the error bars are the standard error of the values, <italic>n</italic> &#x3d; 3.</p>
</caption>
<graphic xlink:href="fenvs-11-1141562-g001.tif"/>
</fig>
</sec>
<sec id="s4-2">
<title>3.2 Phytotoxicity of remediated soils on wheat</title>
<sec id="s4-2-1">
<title>3.2.1 Effect on germination rate of wheat seeds</title>
<p>In this study, the germination rate of wheat seeds in clean soils (Group C and Group D) was 83.3% &#xb1; 5.8% and 90.0% &#xb1; 0.0%, respectively (<xref ref-type="sec" rid="s11">Supplementary Table S1</xref>). The germination rate of wheat seeds in the contaminated soils (PWS and PFS) was not significantly different from those in the clean soils (<italic>p</italic> &#x3e; 0.05), which indicated that wheat germination was not affected by the concentration of TPH present in these soils. There are no significant correlation between the germination rate of wheat seeds in the soil at different remediating stages and the TPHs content in the soil, <italic>p</italic> &#x3d; 0.254 in Group A and <italic>p</italic> &#x3d; 0.312 in Group B. This may be because the nutrients required for seed germination of higher plants are mainly derived from the energy in their endosperm, which makes them less sensitive to soil environmental pollution (<xref ref-type="bibr" rid="B20">Chouychai et al., 2007</xref>). At the same time, seed rind plays a protective role on the internal structure of seeds, which can prevent the entry of toxic and harmful substances (<xref ref-type="bibr" rid="B56">Liu et al., 2001</xref>).</p>
<p>Many researches have reported that low levels may not have been high enough to have phytotoxic effects at this stage of wheat growth. <xref ref-type="bibr" rid="B90">Tang et al. (2011)</xref> also showed that contaminated soils from the Shengli oilfield with a TPH level of around 0.1% had little effect on wheat germination, whereas at 0.5%&#x2013;3.0% TPH they observed significant inhibition of wheat germination (10%&#x2013;60%). The group A (PWS) soil in our study had TPH levels of 0.16% and in the group B soils (PFS) had TPH levels of 0.4%. Other researchers have shown that the inhibition rate was 48.4% at TPH content of 3%, suggesting strong tolerance of wheat on TPH (<xref ref-type="bibr" rid="B73">Oboh et al., 2007</xref>). Studies have shown that only TPHs concentrations higher than 0.5% can significantly reduce seed germination (<xref ref-type="bibr" rid="B29">Gaskin et al., 2008</xref>). So some studies have speculated that high concentrations of TPHs will affect the germination rate of seeds (<xref ref-type="bibr" rid="B93">Varjani et al., 2020</xref>). Meantime, the phytotoxicity of TPHs may be affected by differences in absorption, nutrient availability and cell wall structure of petroleum compounds in different plant species or tissues (<xref ref-type="bibr" rid="B10">Banks and Schultz, 2005</xref>). High concentrations of salt and organic pollutants inhibit seed germination (<xref ref-type="bibr" rid="B48">Kumari et al., 2016</xref>; <xref ref-type="bibr" rid="B40">Kaboosi, 2017</xref>). There was no change in the germination rate of wheat in the soil of group E and F (83.3% and 86.7%) at different remediation stages.</p>
</sec>
<sec id="s4-2-2">
<title>3.2.2 Effects on growth and development of wheat seedlings</title>
<p>The results of toxicity experiment of higher plants showed a significant ecotoxicity of the soil during the whole period of bioremediation (<xref ref-type="table" rid="T2">Table 2</xref>). The plant height of Group B wheat in the 7th and 14th days of soil remediation showed significant inhibition compared with the non-pollution control group (<italic>p &#x3c;</italic> 0.01). There were also significant differences (<italic>p &#x3c;</italic> 0.01) in the above-ground fresh biomass between the 7th and 14th days of remediation and the non-polluting soil control. The above-ground fresh weight was significantly lower than that of the pollution control (<italic>p &#x3c;</italic> 0.01), and it was significantly inhibited (<italic>p &#x3c;</italic> 0.05) in the 21st day. Root fresh weight in 0 days, 28 days, 35 days and 42&#xa0;days soil, compared with non-pollution control showed a significant increase (<italic>p &#x3c;</italic> 0.01), and in 7 days and 14&#xa0;days soil showed a significant inhibition (<italic>p &#x3c;</italic> 0.01). At the same time, the growth index of wheat in Group B was slightly higher than that of Group A, probably because the farmland soil had greater nutrients P, organic carbon and less salt, so more suitable for plant growth, the extra nutrients probably lead to enhanced plant growth that compensated for the slightly higher levels of TPH. TPHs will be degraded by plants and generate energy for their own growth (<xref ref-type="bibr" rid="B47">Ko&#x161;n&#xe1;&#x159; et al., 2020</xref>). The correlation analysis between the growth and development indexes of wheat seeds in the soil at different restoration stages and the TPHs content in the soil was carried out, and the <italic>P</italic> values were all greater than 0.05. In general, a higher sensitivity of root elongation was found when compared with shoot length and seed germination test (<xref ref-type="bibr" rid="B45">Khan et al., 2014</xref>). There was greater root growth of the wheat in the soil samples after 28 days of bioremediation than at the beginning of the bioremediation process, indicating some reduction in phytotoxicity.</p>
<table-wrap id="T2" position="float">
<label>TABLE 2</label>
<caption>
<p>The effects of different soil remediation periods on wheat seedling growth and photosynthetic pigments in wheat seedling leaves.</p>
</caption>
<table>
<thead valign="top">
<tr>
<th rowspan="2" align="center">Treatment group</th>
<th colspan="2" align="center">Plant height/cm</th>
<th colspan="2" align="center">Fresh weight of above-ground part/g</th>
<th colspan="2" align="center">Root fresh weight/g</th>
<th colspan="2" align="center">Chl a/mg&#xb7;g<sup>-1</sup>
</th>
<th colspan="2" align="center">Car/mg&#xb7;g<sup>-1</sup>
</th>
</tr>
<tr>
<th align="center">Group A</th>
<th align="center">Group B</th>
<th align="center">Group A</th>
<th align="center">Group B</th>
<th align="center">Group A</th>
<th align="center">Group B</th>
<th align="center">Group A</th>
<th align="center">Group B</th>
<th align="center">Group A</th>
<th align="center">Group B</th>
</tr>
</thead>
<tbody valign="top">
<tr>
<td align="center">NPCG</td>
<td align="center">19.6 &#xb1; 2.65</td>
<td align="center">20.8 &#xb1; 1.54</td>
<td align="center">141.7 &#xb1; 3.80</td>
<td align="center">147.9 &#xb1; 8.81</td>
<td align="center">43.1 &#xb1; 7.70</td>
<td align="center">59.8 &#xb1; 1.25</td>
<td align="center">1.93 &#xb1; 0.02</td>
<td align="center">0.72 &#xb1; 0.00</td>
<td align="center">1.99 &#xb1; 0.02</td>
<td align="center">0.95 &#xb1; 0.30</td>
</tr>
<tr>
<td align="center">0d</td>
<td align="center">19.9 &#xb1; 1.32</td>
<td align="center">22.0 &#xb1; 1.54</td>
<td align="center">142.3 &#xb1; 2.42</td>
<td align="center">148.6 &#xb1; 4.98</td>
<td align="center">46.3 &#xb1; 2.63</td>
<td align="center">65.8 &#xb1; 4.91<sup>&#x2a;&#x2a;</sup>
</td>
<td align="center">1.77 &#xb1; 0.03</td>
<td align="center">0.67 &#xb1; 0.02</td>
<td align="center">1.78 &#xb1; 0.09</td>
<td align="center">0.83 &#xb1; 0.02</td>
</tr>
<tr>
<td align="center">7d</td>
<td align="center">18.3 &#xb1; 1.00</td>
<td align="center">15.6 &#xb1; 0.79<sup>&#x2a;&#x2a;</sup>
</td>
<td align="center">129.7 &#xb1; 2.66</td>
<td align="center">98.7 &#xb1; 3.28<sup>&#x2a;&#x2a;</sup>
</td>
<td align="center">36.0 &#xb1; 1.77</td>
<td align="center">49.5 &#xb1; 2.61<sup>&#x2a;&#x2a;</sup>
</td>
<td align="center">1.69 &#xb1; 0.06</td>
<td align="center">0.62 &#xb1; 0.02<sup>&#x2a;</sup>
</td>
<td align="center">1.65 &#xb1; 0.00</td>
<td align="center">0.73 &#xb1; 0.00</td>
</tr>
<tr>
<td align="center">14d</td>
<td align="center">18.3 &#xb1; 1.39</td>
<td align="center">16.1 &#xb1; 0.75<sup>&#x2a;&#x2a;</sup>
</td>
<td align="center">132.5 &#xb1; 2.81</td>
<td align="center">98.6 &#xb1; 2.12<sup>&#x2a;&#x2a;</sup>
</td>
<td align="center">36.1 &#xb1; 2.42</td>
<td align="center">48.5 &#xb1; 2.99<sup>&#x2a;&#x2a;</sup>
</td>
<td align="center">1.57 &#xb1; 0.01</td>
<td align="center">0.53 &#xb1; 0.01<sup>&#x2a;</sup>
</td>
<td align="center">1.36 &#xb1; 0.02</td>
<td align="center">0.58 &#xb1; 0.04</td>
</tr>
<tr>
<td align="center">21d</td>
<td align="center">19.2 &#xb1; 1.07</td>
<td align="center">19.5 &#xb1; 1.06</td>
<td align="center">140.3 &#xb1; 2.91</td>
<td align="center">142.6 &#xb1; 3.67<sup>&#x2a;</sup>
</td>
<td align="center">41.4 &#xb1; 2.66</td>
<td align="center">60.6 &#xb1; 1.99</td>
<td align="center">1.45 &#xb1; 0.01</td>
<td align="center">0.55 &#xb1; 0.00<sup>&#x2a;&#x2a;</sup>
</td>
<td align="center">1.21 &#xb1; 0.01</td>
<td align="center">0.52 &#xb1; 0.02</td>
</tr>
<tr>
<td align="center">28d</td>
<td align="center">20.3 &#xb1; 1.30</td>
<td align="center">20.3 &#xb1; 1.08</td>
<td align="center">142.3 &#xb1; 2.56</td>
<td align="center">148.8 &#xb1; 2.23</td>
<td align="center">46.5 &#xb1; 2.60</td>
<td align="center">68.3 &#xb1; 3.09<sup>&#x2a;&#x2a;</sup>
</td>
<td align="center">1.65 &#xb1; 0.02</td>
<td align="center">0.58 &#xb1; 0.00<sup>&#x2a;&#x2a;</sup>
</td>
<td align="center">1.46 &#xb1; 0.02</td>
<td align="center">0.57 &#xb1; 0.03</td>
</tr>
<tr>
<td align="center">35d</td>
<td align="center">18.8 &#xb1; 1.21</td>
<td align="center">20.1 &#xb1; 0.91</td>
<td align="center">145.1 &#xb1; 3.76</td>
<td align="center">149.9 &#xb1; 1.88</td>
<td align="center">50.8 &#xb1; 2.45</td>
<td align="center">68.1 &#xb1; 3.54<sup>&#x2a;&#x2a;</sup>
</td>
<td align="center">1.68 &#xb1; 0.01</td>
<td align="center">0.59 &#xb1; 0.01<sup>&#x2a;&#x2a;</sup>
</td>
<td align="center">1.56 &#xb1; 0.03</td>
<td align="center">0.60 &#xb1; 0.12</td>
</tr>
<tr>
<td align="center">42d</td>
<td align="center">20.1 &#xb1; 1.20</td>
<td align="center">20.4 &#xb1; 1.30</td>
<td align="center">143.2 &#xb1; 3.62</td>
<td align="center">147.8 &#xb1; 2.64</td>
<td align="center">52.1 &#xb1; 2.47</td>
<td align="center">66.5 &#xb1; 2.72<sup>&#x2a;&#x2a;</sup>
</td>
<td align="center">1.73 &#xb1; 0.00</td>
<td align="center">0.60 &#xb1; 0.01<sup>&#x2a;&#x2a;</sup>
</td>
<td align="center">1.56 &#xb1; 0.03</td>
<td align="center">0.59 &#xb1; 0.02</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p>N &#x3d; 15; &#x2a;&#x2a;At 0.01 level (double side) significant correlation compared with the non-pollution control group; &#x2a;At 0.05 level (double side) significant correlation compared with the non-pollution control group; NPCG (Group C and Group D), Non-pollution control group; Chl a, Chlorophyll a; Car, Carotenoid.</p>
</fn>
</table-wrap-foot>
</table-wrap>
</sec>
<sec id="s4-2-3">
<title>3.2.3 Effect of photosynthetic pigment synthesis in wheat seedlings</title>
<p>TPHs can interfere with chloroplast arrangement, thereby interfering with electron transport and photosynthesis (<xref ref-type="bibr" rid="B85">Singh Tomar and Jajoo, 2013</xref>; <xref ref-type="bibr" rid="B37">Jajoo et al., 2014</xref>). Some high molecular hydrocarbon substances in petroleum can enter cells through the cell wall, affecting chlorophyll synthesis, thereby affecting the photosynthesis process, and producing serious toxic effects on plants (<xref ref-type="bibr" rid="B77">Plaza et al., 2010</xref>). It can be seen that the synthesis of light and pigments is affected. Chlorophyll a content of wheat showed inhibitory effect in soil at different remediation time-points. Group A and Group B had the greatest inhibitory effect on soil on day 21, had the least inhibitory effect on soil on day 7 (<xref ref-type="table" rid="T2">Table 2</xref>). Carotenoid content of wheat was also inhibited throughout the remediation process. Carotenoid content of Group A was significantly inhibited, most severely inhibited in soil on day 14, and Group B was most severely inhibited in soil on day 21. After statistical analysis, the chlorophyll a content and carotenoid content of wheat had a very significant positive correlation, r &#x3d; 0.917 (<italic>p &#x3c;</italic> 0.01) in Group A and r &#x3d; 0.541 (<italic>p &#x3c;</italic> 0.01) in Group B, indicating that the content of chlorophyll a and carotenoid content had good consistency under petroleum pollution stress. In the correlation analysis of wheat photosynthetic pigment content and TPHs content in soil at different restoration stages, only the carotenoid content of wheat in Group B was extremely significantly correlated with TPHs content, r &#x3d; 0.897 (<italic>p &#x3c;</italic> 0.01).</p>
<p>Studies have shown that, petroleum pollutants into the soil will reduce the bioavailability of soil nutrients, weaken the uptake of soil nutrients by plants, thereby affecting the synthesis of photosynthetic pigments in plants (<xref ref-type="bibr" rid="B42">Karthikeyan et al., 2014</xref>); on the other hand, petroleum in the soil and intermediate metabolites during microbial remediation destroy the chloroplast structure (<xref ref-type="bibr" rid="B103">Xie et al., 2014</xref>) and inhibit some enzyme functions in the cells, resulting in a decline in photosynthetic pigment content in plants. Some components of TPHs, other than metabolite, have direct toxic effects, such as the discovery in wheat that fluoranthene inhibits both light and dark photosynthesis (<xref ref-type="bibr" rid="B91">Tomar and Jajoo, 2014</xref>). Research has demonstrated that PAHs inhibit OEC and electron transport chain of PS-II donor side and acceptor side (<xref ref-type="bibr" rid="B49">Kummerov&#xe1; et al., 2008</xref>). The toxicity increased and then decreased during the remediation process, probably due to the production and accumulation of toxic metabolites during petroleum degradation, and then the intermediate products were partially degraded. Or while the bioremediation removed many of the organic compounds, less degradation occurred for fluoranthene and other polycyclic aromatic hydrocarbons that affect leaf photosynthesis.</p>
<p>Among the ecological toxicity evaluation indexes of higher plants in this study, the growth and development indexes of wheat seedlings (plant height, above-ground fresh weight, root fresh weight) indicated that the soil had the strongest toxicity on the 7th and 14th days of remediation. The biochemical indexes of wheat leaves (chlorophyll a and carotenoids) showed that the ecological toxicity of soil in the early to middle stages of remediation increased. The soil toxicity was the strongest on the 21st day, and then decreased, but there was a certain ecological toxicity in the soil during the whole remediation period.</p>
</sec>
</sec>
<sec id="s4-3">
<title>3.3 Effect of petroleum-contaminated soil in different remediation timepoints on earthworm (Eisenia foetida)</title>
<sec id="s4-3-1">
<title>3.3.1 Effect on earthworm (Eisenia foetida) survival</title>
<p>As a biological indicator, earthworm mortality bioassay is an important tool for ecotoxicological research (<xref ref-type="bibr" rid="B43">Khan et al., 2012</xref>). Survival of earthworms in the soils at different time-points in the remediation process was examined. Earthworms were placed into the clean soils from both sites (CWS and CFS) survived until the end of the experiment. There were death and poisoning symptoms of earthworms in contaminated soil at different remediation periods. The poisoning symptoms were as follows: body dehydration, <italic>in vivo</italic> peristalsis and stretching ability was significantly weakened.</p>
<p>It can be seen that the survival rate of <italic>E. foetida</italic> (Savigny, 1826) decreased significantly with the prolongation of exposure time, indicating a chronic toxicity of petroleum-contaminated soil on the earthworms. There was a gradual decrease in the survival rate between 7-day exposure and 14-day exposure in both group A and B soils probably due to the bioaccumulation of toxic compounds over time (<xref ref-type="fig" rid="F2">Figure 2A</xref>). There was an increase in earthworm survival rates in Group A soils after more than 7&#xa0;days of bioremediation. Whereas in the Group B soils survival rates initially increased but then decreased at around day 21 but by the end of the bioremediation experiments the survival levels were much greater than at the beginning. This dip in survival rate could be due to increase levels of toxic metabolites that were later degraded. The survival rate of earthworms increased at the end of remediation of both contaminated soils, suggesting that bioremediation ultimately succeeded in reducing soil toxicity. While the mortality of earthworms in the earthworm toxicity experiments at different petroleum concentrations showed a dose-effect relationship (<xref ref-type="bibr" rid="B61">Lucia et al., 2012</xref>), it is different from the results of this paper, indicating that some toxic intermediates will be produced in the process of soil remediation, and these intermediates cannot be simply expressed by chemical units, but their toxicity will be reflected in organisms (<xref ref-type="bibr" rid="B22">Dallinger and Horn, 2014</xref>; <xref ref-type="bibr" rid="B110">Zhao and Zhu, 2017</xref>).</p>
<fig id="F2" position="float">
<label>FIGURE 2</label>
<caption>
<p>Effect of petroleum-contaminated soil on earthworm (<italic>E. foetida</italic>). <bold>(A)</bold> Survival rates of earthworms (<italic>E. foetida</italic>) in soil at different remediation time-points. <bold>(B)</bold> Avoidance rates of earthworms (<italic>E. foetida</italic>) in soil at different remediation periods. The columns represent the mean values of the parameters, the error bars are the standard error of the values, <italic>n</italic> &#x3d; 3.</p>
</caption>
<graphic xlink:href="fenvs-11-1141562-g002.tif"/>
</fig>
<p>In the correlation analysis between earthworm survival rate and TPHs content in soil at different restoration stages, only earthworm survival rate in Group A was significantly correlated with TPHs content, r &#x3d; &#x2212;0.967 (<italic>p</italic> &#x3c; 0.01) at 7&#xa0;days and r &#x3d; &#x2212;0.958 (<italic>p</italic> &#x3c; 0.01) at 14 days.</p>
</sec>
<sec id="s4-3-2">
<title>3.3.2 Avoidance test of Eisenia foetida</title>
<p>TPH may cause death, swelling, body lesions, stiffening, coiling and low reproduction of earthworm (<xref ref-type="bibr" rid="B73">Oboh et al., 2007</xref>). In the avoidance test for 48 h, no earthworm death was observed in the control group C and D and the treatment group, but the avoidance rates of <italic>E. foetida</italic> in all treatment groups were positive after 48&#xa0;h (<xref ref-type="fig" rid="F2">Figure 2B</xref>). In the avoidance test throughout the remediation period, most earthworms chose the clean soil, and those which chose to enter the TPH contaminated soil would escape and re-enter, indicating that <italic>E. foetida</italic> are very sensitive to the toxicity of petroleum pollutants. With the decrease of petroleum pollution concentration, the avoidance rate also decreased. In Group A, even if the TPHs content in the soil at the late restoration stage had dropped to a low level (1.00&#xa0;g/kg), <italic>E. foetida</italic> still have a 6.67% avoidance rate, indicating that <italic>E. foetida are</italic> very sensitive to soil toxicity. When the number of earthworms in clean soil accounted for 80% of the total number of earthworms added in the experiment, it showed that contaminated soil was not suitable for earthworm survival, that is, there was avoidance behavior (ISO) (<xref ref-type="bibr" rid="B36">International Organization for Standardization, 2004</xref>). Therefore, in Group B, only the soil on the 35th day (1.97&#xa0;g/kg) and the 42nd day (1.94&#xa0;g/kg) was suitable for earthworm survival, and the <italic>E. foetida</italic> avoidance rate was 73.3%. The avoidance rate is higher in the Group B (PFS) soil with the higher (4&#xa0;g/kg) TPH level. In the correlation analysis of earthworm avoidance rate and TPHs content in soil at different restoration stages, the earthworm avoidance rate of group A and group B were extremely significantly correlated with TPHs content, r &#x3d; 0.947 (<italic>p</italic> &#x3c; 0.01) in group A, r &#x3d; 0.910 (<italic>p</italic> &#x3c; 0.01) in group B. The data shows that avoidance rates in both contaminated soils dropped as the bioremediation time delayed, again indicating that bioremediation reduced the ecotoxicity in these soils.</p>
</sec>
</sec>
<sec id="s4-4">
<title>3.4 Changes of enzyme activities in petroleum-contaminated soils in different remediation periods</title>
<sec id="s4-4-1">
<title>3.4.1 Changes of enzyme activity</title>
<p>Catalase is a kind of oxidoreductase, which is formed during the biochemical oxidation reaction of biological respiration and organic matter. Its activity can characterize the soil humus intensity and the conversion rate of organic matter (<xref ref-type="bibr" rid="B111">Zhou and Zhang, 1980</xref>). It can be seen from <xref ref-type="fig" rid="F3">Figure 3A</xref> that the catalase activity of Group B was higher than that of Group A, indicating that the increase in organic matter content would enhance the enzyme activity, there is a very significant positive correlation between soil catalase activity and soil organic matter content (<xref ref-type="bibr" rid="B95">Wang et al., 2012</xref>). The increase in TPH content would not inhibit the catalase activity within a certain range. The growth rate of catalase activity in contaminated soil with microbial agents at the early stage of soil remediation was significantly higher than that at the middle and late degradation stages, and the catalase activity steadily increased over 28 days and then plateaued, which was consistent with the results of <xref ref-type="bibr" rid="B66">Margesin and Schinner (2000)</xref>. The enhancement of catalase activity is due to the large-scale reproduction of microorganisms after adapting to the environment in the early stage of remediation, which increases the decomposition of H<sub>2</sub>O<sub>2</sub> generated during the degradation of TPHs, promotes the secretion of catalase, and increases the enzyme activity. The production of toxic intermediates and the accumulation of excess H<sub>2</sub>O<sub>2</sub> can inhibit the growth and activity of microorganisms, and reduce the secretion of enzymes (<xref ref-type="bibr" rid="B82">Sarkar et al., 2005</xref>).</p>
<fig id="F3" position="float">
<label>FIGURE 3</label>
<caption>
<p>Changes of enzyme activities in soil. The data points represent the mean values of the parameters, the error bars are the standard error of the values, <italic>n</italic> &#x3d; 3.</p>
</caption>
<graphic xlink:href="fenvs-11-1141562-g003.tif"/>
</fig>
<p>Urease is an amide enzyme that promotes the hydrolysis of carbon-nitrogen bonds (CO-NH) in organic matter. It can reflect the status of soil nitrogen transformation and nutrient level in bioremediation of petroleum-contaminated soil. It can be seen from <xref ref-type="fig" rid="F3">Figure 3B</xref> that the urease activity in soil increased with the extension of remediation time, possibly due to the inoculated microorganisms using the TPH as a carbon source for reproduction and growth after adapting to the soil environment, which promoted the transformation of soil nitrogen and thus promoted the secretion of urease (<xref ref-type="bibr" rid="B64">Makoi and Ndakidemi, 2008</xref>). At the same time, some studies showed that soil urease activity was not only closely related to nitrogen level, but also positively correlated with soil organic matter content, total nitrogen and available phosphorus (<xref ref-type="bibr" rid="B72">Niu et al., 2021</xref>).</p>
<p>The degradation and metabolism of TPHs will also produce a certain amount of polyphenols, which are the substrates for PPO enzymes. The PPO activity in soil can be used to characterize the biodegradation of some TPHs (<xref ref-type="bibr" rid="B78">Riah et al., 2014</xref>). It can be seen from <xref ref-type="fig" rid="F3">Figure 3C</xref> that during the remediation of petroleum-contaminated soil, the activity of PPO increased first and then decreased continuously, with the highest activity on the 7th day of remediation. The increase of PPO activity within 0&#x2013;7&#xa0;days may be due to the addition of microbial agents and supplement of nitrogen, which is conducive to the degradation of TPHs (<xref ref-type="bibr" rid="B104">Xu et al., 2020</xref>). <xref ref-type="bibr" rid="B18">Chen et al. (2017)</xref> also observe a similar PPO profile. However, as the TPHs content decreased and became less available for microbial degradation then PPO activity decreased. Previous studies showed that there is a certain correlation between PPO activity and petroleum degradation rate (<xref ref-type="bibr" rid="B94">Wang et al., 2011</xref>).</p>
<p>Sucrase is involved in the decomposition of organic matter in soil, which is closely related to soil carbon cycle (<xref ref-type="bibr" rid="B17">Chen et al., 2010</xref>). In this study, the sucrase activity (<xref ref-type="fig" rid="F3">Figure 3D</xref>) of Group A continued to decrease and the sucrase activity during day 0&#x2013;14 of Group B was higher than that before remediation, and then continued to decrease. The increase of sucrase activity in the early stage of Group B remediation may be because low concentrations of organic pollutants in petroleum-contaminated soil would increase sucrase activity (<xref ref-type="bibr" rid="B25">Dindar et al., 2015</xref>). And sucrase and microorganisms use hydrocarbons as substrates and carbon sources (<xref ref-type="bibr" rid="B11">Baran et al., 2004</xref>; <xref ref-type="bibr" rid="B51">Labud et al., 2007</xref>). A sharp reduction in the activity of this enzyme in the contaminated soil may indicate reduced content of sucrose and other sugar-based organic molecules. The increase respiration rate, in the remediated soil have led to rapid utilization of the organic matter in the soil, and so to a drop in sucrase activity.</p>
</sec>
<sec id="s4-4-2">
<title>3.4.2 Correlation between soil enzyme activity and petroleum content</title>
<p>Through the correlation analysis between soil enzyme activity and petroleum residue in the remediation process of petroleum-contaminated soil, the results are shown in <xref ref-type="table" rid="T3">Table 3</xref>. In Group A and Group B, catalase activity was significantly negatively correlated with TPHs content (<italic>p &#x3c;</italic> 0.01), urease activity was significantly negatively correlated with TPHs content (<italic>p &#x3c;</italic> 0.05), and PPO activity was significantly positively correlated with TPHs content (<italic>p &#x3c;</italic> 0.05). Sucrase activity was positively correlated with TPHs content in Group A (<italic>p &#x3c;</italic> 0.05), but not in Group B (<italic>p &#x3e;</italic> 0.05).</p>
<table-wrap id="T3" position="float">
<label>TABLE 3</label>
<caption>
<p>Correlation analysis between petroleum concentration and soil enzyme activity during remediation of petroleum-contaminated soil.</p>
</caption>
<table>
<thead valign="top">
<tr>
<th rowspan="2" align="center">Soil enzyme activity</th>
<th colspan="2" align="center">Group A</th>
<th colspan="2" align="center">Group B</th>
</tr>
<tr>
<th align="center">Correlation</th>
<th align="center">Significance</th>
<th align="center">Correlation</th>
<th align="center">Significance</th>
</tr>
</thead>
<tbody valign="top">
<tr>
<td align="center">Catalase</td>
<td align="center">&#x2212;0.988<sup>&#x2a;&#x2a;</sup>
</td>
<td align="center">0.000</td>
<td align="center">&#x2212;0.979<sup>&#x2a;&#x2a;</sup>
</td>
<td align="center">0.000</td>
</tr>
<tr>
<td align="center">Urease</td>
<td align="center">&#x2212;0.814<sup>&#x2a;</sup>
</td>
<td align="center">0.026</td>
<td align="center">&#x2212;0.848<sup>&#x2a;</sup>
</td>
<td align="center">0.016</td>
</tr>
<tr>
<td align="center">PPO</td>
<td align="center">0.788<sup>&#x2a;</sup>
</td>
<td align="center">0.035</td>
<td align="center">0.760<sup>&#x2a;</sup>
</td>
<td align="center">0.047</td>
</tr>
<tr>
<td align="center">Sucrase</td>
<td align="center">0.840<sup>&#x2a;</sup>
</td>
<td align="center">0.018</td>
<td align="center">0.654</td>
<td align="center">0.111</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p>&#x2a;&#x2a;At 0.01 level (double side) significant correlation.</p>
</fn>
<fn>
<p>&#x2a;At 0.05 level (double side) significant correlation.</p>
</fn>
</table-wrap-foot>
</table-wrap>
<p>TPHs can cause changes in soil enzyme activity. Firstly, TPHs affects the growth and reproduction of microorganisms in soil, thereby affecting the synthesis and secretion of enzymes in microorganisms. Secondly, TPHs affect the growth and metabolism of plants and the secretion of root exudates and related enzymes are also affected. Thirdly, petroleum pollutants directly act on soil enzymes, changes the structure of enzymes, and inhibits or promotes the activity of enzymes (<xref ref-type="bibr" rid="B88">Tabatabai and Dick, 2002</xref>; <xref ref-type="bibr" rid="B8">Andreoni et al., 2004</xref>). From the perspective of the four enzyme activities in the six soils during the whole microbial remediation process, the indigenous microorganisms in the soil have little effect on relieving the ecological toxicity of petroleum-contaminated soil, which is manifested by the fact that the enzyme activity in the contaminated soil without the addition of the microbial agent changes little throughout the remediation process. This also verifies the consistency of the previous test: the test exogenously added composite microbial agents play a leading role in the removal of petroleum pollutants. The difference of enzyme activity between Group A and Group B indicated that soil enzyme activity was significantly affected by topography, land use and soil type (<xref ref-type="bibr" rid="B6">Alvarenga et al., 2008</xref>).</p>
</sec>
</sec>
<sec id="s4-5">
<title>3.5 Luminescent bacteria toxicity test</title>
<p>The experimental results show that the aqueous extract of the two petroleum-contaminated soil samples with remediation has no significant inhibitory effect on the relative luminescence intensity of luminescent bacteria, and the relative luminescence intensity of soil aqueous extract during the whole remediation process is above 85%, belonging to the level of micro-toxicity (<xref ref-type="fig" rid="F4">Figure 4</xref>). This is because the main pollutants in the test soil are TPHs insoluble in water, and these toxic substances in aqueous extract may be water-soluble intermediate metabolites produced by hydrocarbons during degradation (<xref ref-type="bibr" rid="B55">Lin et al., 2001</xref>).</p>
<fig id="F4" position="float">
<label>FIGURE 4</label>
<caption>
<p>Changes of relative luminosity of luminescent bacteria in soil at different remediation periods. <bold>(A)</bold> Mercury chloride luminescence scale. <bold>(B)</bold> Relative luminosity of soil water and DCM/DMSO extraction liquid phase. The data points represent the mean values of the parameters, the error bars are the standard error of the values, <italic>n</italic> &#x3d; 3.</p>
</caption>
<graphic xlink:href="fenvs-11-1141562-g004.tif"/>
</fig>
<p>It can be seen that Group A chart that the luminosity was increased from 46.3% before remediation to 57% after remediating, and the toxicity was reduced by 18.8%. Group B luminosity increased from 29.3% before remediating to 53% after remediating, and the toxicity decreased by 44.7%. Both Group A and Group B showed the lowest relative luminescence, i.e., the highest toxicity, on the 21st day of remediation, indicating the accumulation of toxic metabolites in the first half of remediation, and studies have shown that the oxidation intermediates of PAHs have stronger biological toxicity than their parent hydrocarbons (<xref ref-type="bibr" rid="B97">Wang et al., 2021</xref>). With the remediating process, the toxicity decreased gradually from 21&#xa0;days to 42 days, which may be due to the growth and reproduction of microorganisms using intermediate metabolites, and the toxicity decreased slowly. Correlation analysis between soil TPHs content and relative luminosity showed that for both group A (r &#x3d; &#x2212;0.104), and group B (r &#x3d; &#x2212;0.262), the correlation was not significant (<italic>p &#x3e;</italic> 0.05). Although the TPHs content in the Group B soil at day 42 was just a little higher than that at day 0 for the Group A soil, the corresponding relative luminescence&#x2019;s differed greatly. Group B at day 42 had a TPH concentration of 1.94&#xa0;g/kg and a luminosity of 53%, while Group A at day 0 had a TPH level of 1.66&#xa0;g/kg and a luminosity of 46%. The reason for this is unclear, but it may be related to differences in the hydrocarbon profiles in the two soils. At day 0 group A soil may have contained more toxic components or indeed it could be related to other physic-chemical differences in the two soils.</p>
<p>The luminescence intensity of the DCM/DMSO extract of petroleum-contaminated soil demonstrated a consistent trend with the amount of photosynthetic pigment in wheat and the survival rate of earthworms, which gradually decreased in the early stage, reached the lowest level on the 21st day, and then gradually increased. This indicates that the ecological toxicity of the soil gradually increased, with the highest toxicity on day 21, and then the toxicity gradually decreased, which is consistent with the experimental results of <xref ref-type="bibr" rid="B76">Phillips et al. (2000)</xref>. This may be because in the early stages of remediation, the intermediate metabolites of hydrocarbon degradation can be more toxic than the parent compounds (<xref ref-type="bibr" rid="B76">Phillips et al., 2000</xref>), and the early rapid proliferation of microorganisms capable of degrading PHs significantly increased the rate of degradation, resulting in the early rapid accumulation of toxic intermediates, leading to increased soil toxicity. As the remediation process progressed, the rate of PH degradation, their concentration, the amount of metabolites produced and the toxicity of the soil decreased. Several studies claim that sorption, which is regulated by time and the physicochemical properties of specific soils, is a commonly accessible factor in the bioavailability, degradation and toxicity of soil contaminants (<xref ref-type="bibr" rid="B79">Rivas, 2006</xref>; <xref ref-type="bibr" rid="B30">Guo et al., 2022</xref>). Day 21 may be in the early stage of the actual whole degradation process. At this stage, toxic intermediate metabolites are continuously generated and accumulated. Therefore, if the scaled-up toxicity portion of our experiment had been prolonged to a point where contaminant levels were even further reduced, we might have seen a more complete process of toxicity changes.</p>
</sec>
</sec>
<sec sec-type="conclusion" id="s5">
<title>4 Conclusion</title>
<p>In this paper, four ecotoxicity indices were combined to evaluate the ability of bioremediation to reduce the ecotoxicity of two petroleum-contaminated soils, including plant, earthworm, soil enzyme and bacterial toxicity assays. The results suggest that wheat seed germination may not be appropriate to be used as a monitoring tool for petroleum-contaminated soils. Nevertheless, the relative luminosity of luminescent bacteria can be a sensitive indicator of the ecotoxicity of petroleum-contaminated soil, which is consistent with the results of the plant seedling growth and development index, the photosynthetic pigment toxicity test, the earthworm survival rate test and the soil catalase activity test. In addition, in the process of microbial remediation of petroleum-contaminated soil, the reduction of target TPH contaminant residues does not imply a reduction in soil ecotoxicity. The results also show that the ecological toxicity of petroleum-contaminated soil reached the maximum in the early and middle stages of remediation, and gradually weakened in the later stage, and there was a certain ecological toxicity throughout the microbial remediation process. The changes of ecotoxicity index were not always related to the concentration of pollutants, and for each soil type the trend from one test to another may not be consistent. Each test demonstrated a different ability to detect a reduction in soil contamination. Further experimental investigations are needed to explore the correlation between the changes of these indicators and the toxicity of petroleum-contaminated soil.</p>
</sec>
</body>
<back>
<sec sec-type="data-availability" id="s6">
<title>Data availability statement</title>
<p>The raw data supporting the conclusions of this article will be made available by the authors, without undue reservation.</p>
</sec>
<sec id="s7">
<title>Author contributions</title>
<p>XC and JW designed the study; XC analyzed samples; XC, WZ, and KG designed the graphics; XC, XF, JW, MW, and KG wrote the manuscript; YH supervised the study; and all authors contributed to previous versions and approved the final manuscript.</p>
</sec>
<sec id="s8">
<title>Funding</title>
<p>This study was supported by programs of the National Key R&#x26;D Program of China (2019YFC1804103), and European Union&#x2019;s Horizon 2020 research and innovation programme &#x201c;GREENER&#x201d; under grant agreement number 826312.</p>
</sec>
<sec sec-type="COI-statement" id="s9">
<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 sec-type="disclaimer" id="s10">
<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>
<sec id="s11">
<title>Supplementary material</title>
<p>The Supplementary Material for this article can be found online at: <ext-link ext-link-type="uri" xlink:href="https://www.frontiersin.org/articles/10.3389/fenvs.2023.1141562/full#supplementary-material">https://www.frontiersin.org/articles/10.3389/fenvs.2023.1141562/full&#x23;supplementary-material</ext-link>
</p>
<supplementary-material xlink:href="Table1.DOCX" id="SM1" mimetype="application/DOCX" xmlns:xlink="http://www.w3.org/1999/xlink"/>
</sec>
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