Abstract
Chromium (Cr(VI)) is often released from various industries in excess in developing countries, which constitutes non-compliance with environmental regulations. This metal is hazardous for the aquatic ecosystem and is responsible for toxicity, carcinogenicity, and mutagenicity in humans. Adsorption is an effective and relatively inexpensive approach for treating the excess Cr(VI) compared to conventional methods. Commercially available adsorbents cannot be considered economical yet for industrial applications, which has alternatively resulted in the use of natural adsorbents. The current study focuses on Cr(VI) removal using low-cost natural adsorbents and discusses the different conditions used for such treatments. Previous studies have shown the following order of average Cr(VI) removal using different adsorbents: leaves > bark > agriculture > dry shell > tea = fungi > yeast > algae > sawdust > bacteria. Moreover, acid modification has been reported to offer the best results. The adsorption data are best fitted to both the Langmuir and Freundlich isotherms. Hence, the abovementioned low-cost natural biomasses hold promising potential for Cr(VI) removal from wastewater, whose removal efficiency can be improved by adopting economical and effective pretreatment techniques. Literature also shows that leaves are more efficient and economical for Cr(VI) removal without pretreatment from among the various available bulk biomasses. The present review is expected to provide guidance for low-cost treatment of Cr(VI) at the industrial scale.
1 Introduction
The presence of toxic metals in industrial wastewater, marine water, and freshwater has become a global environmental issue (; Kargar et al., 2011; Mzoughi and Chouba, 2011; Zou et al., 2019). Heavy metals poses serious threats to streams and lakes (Ghaderi et al., 2012; ; ; Hashem et al., 2017; Tripathi et al., 2024). Among the various heavy metals, Cr is often released into water bodies in the form of industrial wastewater. Over the past few decades, large quantities of wastes containing Cr have been directly discharged into the environment without any treatments (Qiang et al., 2011). The toxicity of Cr varies with its oxidation state. In natural water, Cr usually exists in two main oxidation states, namely, trivalent chromium (Cr(III)) and hexavalent chromium (Cr(VI)) (Sharma et al., 2022). Compared to Cr(III), Cr(VI) is 100–1000 times more toxic to organisms (Roşca et al., 2023; ) because it has strong oxidizing ability and mobility; it is absorbed through the skin and also readily transported into the soil (Karthikeyan et al., 2005; ).
Cr(VI) is included in the priority list of hazardous substances of the Comprehensive Environmental Response Compensation and Liability Act (CERCLA) (Moussavi and Barikbin, 2010; Peng et al., 2019). Cr(VI) is used in various industries, and the major industrial sources of Cr(VI) in wastewater are tanning, metal processing, electroplating, wood preservative, pigment, paint, steel fabrication, textile, dyeing, and canning industries, as shown in Figure 1 (; Moussavi and Barikbin, 2010; Singh et al., 2022). According to the US Environmental Protection Agency, the permissible limits for Cr(VI) are 0.1 and 0.05 mg L−1 in inland surface water and drinking water, respectively (Qiang et al., 2011; ).
FIGURE 1
It has been shown that excess intake of Cr by humans results in many diseases (Figure 2), such as damage of the digestive tract, lung cancer, gastrointestinal issues, central nervous system irritation, capillary damage, and hepatic and renal damage (Martins et al., 2006; Kiran et al., 2007; Wan Ngah and Hanafiah, 2008; ). Different methods are available for the treatment of Cr(VI), such as ion exchange (Wang and Lin 2008; Yuan et al., 2008; Kim et al., 2008; Li et al., 2017), ultrafiltration (Muthumareeswaran et al., 2017), nanofiltration, microfiltration (; Zolfaghari and Kargar, 2019), chemical precipitation (Peng et al., 2018), electrochemical reduction (Peng et al., 2019), solvent extraction, reverse osmosis (), cementation, electrodialysis, electrocoagulation (Muhammad et al., 2006; ; Tarun et al., 2008; ; ; Sibel et al., 2009; Zainul et al., 2009; Suresh et al., 2010), and adsorption (Monser and Adhoum, 2002; Erdem et al., 2004; ; Sirusbakht et al., 2018; Haroon et al., 2017). These methods are effective for concentrations of 1–100 mg L−1; however, they involve high operating and capital costs (Liang et al., 2009). The waste generated after chemical precipitation also pose disposal pollution risks and hazards to the environment. Hence, efficient and cost-effective alternative methods need to be developed for scale-up applications (Oilgae, 2010).
FIGURE 2
Metal removal using adsorbents has distinct advantages over other conventional methods. Adsorbents are usually inexpensive, efficient (Sheraz et al., 2024), and prone to producing lower quantities of sludge after treatment (Sud et al., 2008; Satyam and Patra, 2024). Moreover, another advantage of adsorbent-based methods is that the statutory discharge limits for industrial wastewater, including enhancement of their environmental responsibility and corporate social profiles, are relatively easier to meet. Various adsorbents can be used for metal removal, such as those based on nanoparticles (Rong et al., 2024; Wenjie et al., 2022; Tesnim et al., 2024), nanocomposites (Katiyar and Katiyar, 2024), chitosan-based composites (Zhou et al., 2025), CeO2-based functional materials (Zhang et al., 2025), and deep-eutectic-solvent-assisted functional materials (Nie et al., 2025). Many researchers have used agriculture feedstock for the treatment of heavy metal pollutants (Odoemelam et al., 2011; Gupta et al., 2009; Subbaiah et al., 2011; Opeolu, 2009), in addition to abundantly available organic materials. Agricultural or lignocellulosic products (Figure 3) have unique chemical compositions (Lee et al., 2014; ) and relatively high numbers of surface functional groups (i.e., phenolic and carboxylic groups) that enable successful uptake of metals from wastes and are also useful for removing Cr(VI) from wastewater (Harmon et al., 2007; Opeolu et al., 2010). Chemical binding sites comprising carboxyl (COO), carbonyl (CO), hydroxyl (OH), amine (NH2), or amide (RC (O) NH2) groups are mostly present on biomass surfaces (). Polar-functional-group-containing compounds are also available in agricultural byproducts, such as alcohols (R-OH), aldehydes (HCOH), ketones (RCOR), carboxylates (RCOO), phenols (C6H5-OH), and ethers (R-O-R); these bind heavy metals through hydrogen replacement or complex formation by electron pair donation (Ofomaja and Ho, 2007). Different activated and non-activated bioadsorbents, including pine wood sawdust (Sirusbakht et al., 2018), Indian jujube (), coffee pulp (Gómez Aguilar et al., 2019), coffee grounds (), almond green hulls (Nasseh et al., 2016), groundnut shells (), palm kernel shells (Razavi Mehr et al., 2019), Arachis hypogea (peanut) leaves (), green moringa tea leaves (Timbo et al., 2017), Cassia fistula (Amaltas) leaves (), Euclea schimperi leaves (Gebrehawaria et al., 2015), Acacia albida bark (Gebrehawaria et al., 2015), Eucalyptus camaldulensis sawdust (Haroon et al., 2016), sugarcane bagasse (Homagaia et al., 2010), white cedar sawdust (Haroon et al., 2017), and pea seed shells (Kebede et al., 2022), have been used as economical alternatives to expensive adsorbents.
FIGURE 3
Several agricultural byproducts and natural materials have been explored for Cr(VI) adsorption, but a critical gap remains in systematically comparing their effectiveness and evaluating the impacts of chemical modifications. The present review addresses this gap by offering detailed comparisons of a wide range of unmodified and chemically modified natural adsorbents for Cr(VI) removal. As a pioneering effort, we compile and analyze the Cr(VI) removal potentials of various natural biomasses in this study, including leaves, bark, shells, and agricultural residues, as well as rank them based on performance. Moreover, this review uniquely emphasizes the roles of chemical modifications, including acids, bases, and salts, in enhancing the adsorption capacities of various natural organic (lignocellulosic) materials. In highlighting these novel features, we not only combine various sources available in literature but also propose a framework for future directions for developing cost-effective, scalable, and sustainable treatment technologies using natural organic adsorbents.
2 Adsorption of Cr(VI) using various waste biomasses
2.1 Sawdust
Aspen sawdust is a lignocellulosic solid waste that is reported to be an effective adsorbent of Cr(VI) from industrial effluents. The relationship between the adsorption capacity and temperature reflects the endothermic nature of the adsorption process. The data display a good fit for the Freundlich isotherm rather than the Temkin and Langmuir isotherms, revealing the homogeneous and monolayer adsorption process. It was observed that Cr(VI) removal increased with the adsorbent dose (3 g) because of the availability of more adsorbent (sawdust) surface. The maximum removal of Cr(VI) was noted at a pH of 2, which is attributed to the large number of positive hydrogen ions on the adsorbent surface, resulting in more electrostatic attraction between the positive adsorbent and anionic Cr. The sawdust of other types of woods used in buildings and the furniture industry is available abundantly (Mosavian et al., 2012). Neem and mango sawdust showed 80% and 60% adsorption for Cr(VI) removal, respectively, at an acidic pH of 2; this is owed to the more positive charges in the aqueous media, which makes the adsorbent surface positive and results in the attraction of more negative ions of Cr toward the sawdust adsorbent surface. Cr(VI) removal using neem sawdust revealed the best fitting to the Langmuir isotherm and followed a pseudo-second-order kinetics (Vinodhini and Das, 2010), revealing the monolayer and homogeneous surface of the adsorbent as well as chemosorption nature of the adsorption process. Studies have shown that when the free ionic sites are occupied by anionic species like HCrO4−, CrO4−2, and Cr2O72-, the adsorption on the adsorbent surface decreases at pH values above 4 (
In another study, neem sawdust was used for Cr(VI) treatment in a fixed bed column; here, maximum removal was observed at pH 2 due to protonation of the adsorbent surface and its electrostatic attraction to the anionic chromate ions. However, at higher pH, Cr(VI) removal decreased because of the competition between hydroxyl ions and oxyanions of Cr. The effects of co-ions on Cr(VI) removal were also studied, and it was found that cations (Na+ and Mg2+) did not affect adsorption, while anions (Cl−) interfered with adsorption by competing with the Cr species. The surface area of the neem sawdust was reported to be 3.76 m2 g−1; it was found that the adsorption data were well fitted to the bed depth service time (BDST) model and that the estimated Cr(VI) uptake capacity was 33,009.9 mg g−1; the column breakthrough time also decreased in the presence of co-ions (Vinodhini and Das, 2010).
White cedar sawdust has been reported to aid Cr(VI) removal by up to 62% under optimum conditions (Haroon et al., 2017). Ziziphus mauritiana (Indian jujube) sawdust also showed a monolayer adsorption capacity of 3.66 mg g−1 for Cr(VI) removal (Ilyas et al., 2014;
TABLE 1
| Plant | Part | Modified with | pH | Metal concentration (mg/L) | Time (min) | Dose (g/L) | T (oC) | Mixing speed (rpm) | Removal (%) | Reference |
|---|---|---|---|---|---|---|---|---|---|---|
| Sawdust | ||||||||||
| Aspen | Sawdust | NG | 2.0 | 0.5–5 | 15 | 3 | 25 | 300 | NG | Mosavian et al. (2012) |
| Prosopis glandulosa | Sawdust | NG | 4.0 | 110 | 50 | 0.8 | 50 | 200 | 65 | Salman et al. (2025) |
| Emblica officinalis | Sawdust | NG | 2.0 | 500 | 100 | 2.5 | 40 | NG | 83 | Kushwaha and Chakraborty (2021) |
| Neem | Sawdust | NG | 2.0 | 10–150 | 5–360 | 2 | 28 | 120 | 80 | Vinodhini and Das (2009) |
| Mango | Sawdust | NG | 2.0 | 10–150 | 5–360 | 2 | 28 | 120 | 60 | Vinodhini and Das (2009) |
| Pine | Sawdust | NG | 2.5 | 1.6–7.7 | NG | 4 | 23 | 600 | 95.6 | Politi and Sidiras (2012) |
| Poplar and fir | Sawdust | NG | 3.0 | NG | 60 | NG | NG | NG | NG | Šćiban and Klašnja (2002) |
| White cedar | Sawdust | NG | 2.0 | 10–150 | 180 | 3 | 35 | 220 | 62 | Haroon et al. (2017) |
| Indian jujube | Sawdust | NG | 2–3 | 20–60 | 360 | 1 | 40 | NG | 99.9 | Ilyas et al. (2014) |
| Mixed plants (market) | Sawdust | NG | 4.0 | 5–200 | 120 | NG | 30 | NG | 96.40 | Erwa and Ibrahim (2016) |
| Pine wood | Sawdust | NG | 3.0 | NG | 120 | 3 | 40 | 220 | NG | Sirusbakht et al. (2018) |
| Eucalyptus | Sawdust | NG | 2.0 | 10–150 | 360 | 0.2 | 50 | NG | 71.16 | Haroon et al. (2016) |
| Indian jujube | Sawdust | NG | 2.0 | NG | 120 | NG | 40 | 180 | NG | |
| Red pine | Sawdust | NG | 3.0 | NG | 50 | 1.6 | 25 | NG | 55.30 | Gode et al. (2008) |
| Teak wood | Sawdust | HCl | 3–4 | 10–80 | 60 | 10 | NG | NG | 98 | Ramirez et al. (2020) |
| Dalbergia sissoo | Sawdust | Formaldehyde | 2.0 | 0.005–0.05 | 30 | 2 | NG | 100 | 85.4 | Pal and Kaur (2013) |
| Local factory wood | Sawdust | Diethyltriamine | 3.0 | 5–70 | 120 | NG | NG | 180 | 75 | |
| Red pine | Sawdust | NaOH | 3.0 | NG | 120 | Ng | 25 | 180 | 87.70 | Gode et al. (2008) |
| Red pine | Sawdust | Tartaric acid | 3.0 | NG | 2280 | 10 | 25 | NG | 100 | Gode et al. (2008) |
| Acacia | Sawdust | NaOH | 6.0 | NG | 2280 | 10 | NG | NG | 100 | Meena et al. (2008) |
| Seed shells | ||||||||||
| Almonds | Seed shells | NG | 2.0 | 10–100 | 60 | 24 | 50 | 300 | 99 | Nasseh et al. (2016) |
| Groundnut | Seed shells | NG | 8.0 | 15–100 | 120 | 2 | 41 | 120 | 59 | |
| Palm kernel | Seed shells | NG | 2.0 | 10–100 | 45 | 0.5 | 40 | NG | 100 | Mehr et al. (2019) |
| Peanut | Seed shells | NG | 2.0 | NG | 360 | 0.2 | 40 | 130 | NG | |
| Groundnut | Seed shells | NG | 2.0 | NG | 60 | 1–50 | 40 | 200 | NG | Qaiser et al. (2009) |
| Peanut | Seed shells | NG | 2.0 | 5–500 | 60 | 15 | 25 | 250 | 99 | Mahajan and Sud (2011) |
| Chestnut | Seed shells | NG | 2.0 | 100–150 | 360 | NG | 25 | 250 | NG | Ertaş and Öztörk, 2011 |
| Almond | Seed shells | NG | 1.8 | 50–250 | 360 | 2.4 | NG | NG | 90.2 | Manfe et al. (2012) |
| Apricot + Almond | Seed shells | NG | 2.0 | 0.5–5 | 30 | 10–60 | 25 | 400 | NG | Khazaei et al. (2011) |
| Almond Green | Seed shells | NG | 6.0 | 10–50 | 30 | 4 | 25 | 45 | 94.1 | |
| Almond | Seed shells | NG | 2.0 | 0.5–5 | 30 | 1–6 | 25 | 400 | 75.9 | |
| Coconut | Seed shells | NG | 2.0 | NG | 60 | 8 | NG | NG | 86 | |
| Apricot | Seed shells | NG | 2.5 | 0.5–4 | 30 | 0.1–4 | 25 | 400 | 90 | |
| Almond | Seed shells | H3PO4 | 2.0 | 50–1,000 | 240 | 2.5 | 35 | 150 | 100 | Rai et al. (2018) |
| Nutshells | Seed shells | ZnCl2 | 2.0 | 10–25 | 60 | 0.05 | 30 | 150 | 99 | Kumar and Jena (2017) |
| Walnut | Seed shells | Citric acid | 2.0 | NG | 120 | NG | 25 | NG | 75 | |
| Almond | Seed shells | NG | 2.0 | 60–100 | 70 | 5–25 | NG | 100 | 98 | |
| Leaves | ||||||||||
| Sambucus nigra L. | Leaves | NG | 2.0 | 10 | 35 | 3 | 70 | NG | 98.22 | Mancilla et al. (2023) |
| Jackfruit | Leaves | NG | 8 | NG | 120 | 0.5 | NG | 150 | 95 | Sangeetha et al. (2023) |
| Euclea schimperi | Leaves | NG | 2.0 | 5–20 | 120 | 3 | NG | NG | 97.39 | Gebrehawaria et al. (2015) |
| Green Moringa tea | Leaves | NG | 2.0 | 10–150 | 60 | 8 | 60 | 165 | 99 | Timbo et al. (2017) |
| Cassia fistula | Leaves | NG | 2.0 | NG | 360 | 0.2 | NG | 130 | NG | |
| Pistachio | Leaves | NG | 2.5 | 0.5–4 | 30 | 0.1–4 | 25 | 400 | 97.1 | |
| Platanus orientalis | Leaves | NG | 6–7 | 2 | 120 | 1 | 24 | 300 | 85 | Mahvi et al. (2007) |
| Bhringraj | Leaves | NG | 2.0 | NG | 230 | 1.5 | NG | NG | 96 | Sekhar et al. (2012) |
| Aerva lanata | Leaves | NG | 2.0 | NG | 170 | 2 | NG | NG | 92 | Sekhar et al. (2012) |
| Neem | Leaves | NG | 3–7 | 25–125 | 300 | 1–6 | NG | 160 | 94.5 | Venkateswarlu et al. (2007) |
| Juniperus procera | Leaves | Diethyl ether and H2SO4 | 4.0 | 50–300 | 120 | 2 | 40 | 150 | 96 | |
| Typha elephantina | Leaves | NG | 2.0 | 150–400 | 360 | 10 | 25 | 180 | 78 | Moniruzzaman et al. (2017) |
| Ziziphus jujuba | Leaves | NG | 6.0 | 50–300 | 105 | 15 | 25 | 200 | NG | Vikal et al. (2013) |
| Tendu | Leaves | NG | 2.0 | 50–250 | 120 | 0.5–2 | 30 | 250 | 95.2 | Mane (2010) |
| Bark | ||||||||||
| Pithecellobium dulce | Bark | NG | 5.0 | 250–1,000 | 120 | 1 | NG | 150 | 54 | Muthulakshmi and Baskaran (2017) |
| Acacia albida | Bark | NG | 2.0 | 5–20 | 60 | 3 | NG | NG | 98.47 | Gebrehawaria et al. (2015) |
| Pinus roxburghii | Bark | NG | 3.0 | 10–100 | 60 | 0.2–2 | 30 | NG | 96.2 | |
| Mangifera indica | Bark | NG | NG | 50–200 | 25 | 0.2–0.8 | NG | NG | 95 | Manjusha (2012) |
| Eucalyptus tereticornis | Bark | NG | 5.0 | NG | NG | 2 | NG | NG | 94 | Sharma and Goyal (2011) |
| Eucalyptus | Bark | NG | 2.0 | 200 | 60 | NG | 32 | NG | 92 | Logeswari (2013) |
| Neem | Bark | H2SO4 | NG | 50–100 | NG | NG | NG | NG | NG | Maheshwari and Gupta (2016) |
| Lantana camara | Bark | HNO3 | 2.0 | 50–100 | 30 | 4 | 60 | NG | 98 | Ravulapalli and Kunta (2018) |
Comparative analysis of the process variables for the adsorption of Cr (VI) using various plant-derived adsorbents.
NG: not given.
2.2 Tea waste
Coffee pulp (Castilla variety) was also investigated and showed up to 87.94% removal of Cr(VI), where the point of zero charge (PZC) was found to be 3.95. The experimental data confirmed monolayer adsorption of the adsorbate. Fourier-transform infrared (FTIR) spectroscopy confirmed the presence of OH, CH, CH2, C=O, and C-O-C bonds associated with the adsorption mechanism. Coffee pulp was thus concluded to be an economical solution for wastewater treatment because of its low cost of implementation and maintenance without sludge production (Gómez Aguilar et al., 2019). Coffee grounds and mixed tea waste were also explored as alternatives for sequestration of Cr(VI); here, FTIR studies revealed the involvement of carbon and oxygen functional groups in both adsorbents. The maximum adsorption capacities of coffee grounds and mixed tea waste were 87.72 mg g−1 and 94.34 mg g−1, respectively. Both biomasses can be reused up to four times with more than 50% reusable efficiency. The efficiency of mixed tea waste was also assessed in a packed reactor, which revealed a breakthrough time of 30 min for 100 mg L–1 of Cr(VI) (
2.3 Dry shells
Groundnuts are a type of agricultural product that is often available in bulk. Here, only the seeds are used, while the shells are wasted. The potential of groundnut shells to remove Cr(VI) has been studied by various researchers. Qaiser et al. (2009) used groundnut hulls for Cr(VI) adsorption and reported a maximum uptake capacity of 30.21 mg g−1. According to Mahajan and Sud (2011), A. hypogea shells removed almost 95% of Cr(VI) from synthetic wastewater at pH = 2; their experimental results fitted the Freundlich and Langmuir models well and followed pseudo-second-order kinetics. Ertaş and Öztürk (2011) investigated the potential of chestnut shells for removing Cr(VI) from synthetic solutions and reported an adsorption capacity of 9.47 mg g−1; here, the Langmuir isotherm was noted to be a better fit than the Freundlich isotherm. Cellulose, hemicellulose, and lignin are the important components of various plant and fruit shells that are responsible for Cr(VI) adsorption. The Cr(VI) removal potential of Prunus amygdalus (almond) shell from polluted wastewater was explored in a batch experiment (Manfe et al., 2012); this study showed that increasing the Cr(VI) solution concentration from 50 to 250 mg L−1 decreased the percentage removal from 80.1% to 47.1% and that increasing the adsorbent quantity from 0.8 to 2.4 g L−1 increased the percentage adsorption from 55.1% to 90.2%. Kali et al. (2025) observed in the case of almond shells that the maximum adsorption of Cr(VI) occurred at pH = 2 because of protonation of the shell surface (Figure 4), which indicated electrostatic attraction between the chromium anions and almond shell. Later, the electron–donor functional groups present on the almond shell surface reduced Cr(VI) to Cr(III).
FIGURE 4

Schematic showing the (A) removal mechanism of Cr (VI) and (B) Fourier-transform infrared spectrum of almond shell (Kali et al., 2025).
Wahiba et al. (2025) used pinecone powder (PCP) for Cr(VI) adsorption and noted that Cr(VI) was removed through the binding of anionic HCrO4− to the positively charged PCP surface as well as surface complexation. In an acidic medium, Cr(VI) ions are reduced to Cr(III) ions by the electron–donor groups on the adsorbent surface, where the acidic pH provides a large number of H+ sites for the reduction of Cr(VI). Khazaei et al. (2011) noted that Cr(VI) removal increased directly with the adsorbent dose when using almond and apricot shells as the adsorbents because of the increased availability of binding sites on the biomass surface. The results of batch experiments revealed that the maximum adsorption occurred at a low pH of 2. Specifically, at this pH, the Cr compounds form more HCrO4−, which are strongly attracted to the active sites.
Almond nut shells showed 90% removal at a pH of 1.8, while almond green hulls offer the best removal of 99.6% at pH = 2 and 94% at pH = 6. This reduction in adsorption is because of the lower electrostatic attraction between the adsorbent and adsorbate. Different functional groups like amine, carboxyl, and hydroxyl groups are present on the surface of almond green hulls, which are responsible for Cr(VI) removal (Sahranavard et al., 2011). Almond green hull powder showed a maximum adsorption capacity of 10.123 mg g−1 at a pH of 2. The Dubinin–Raduskevich (D-R) model revealed that Cr(VI) adsorption was physical in nature as the value of E is less than 8 kJ mol–1 (Nasseh et al., 2016). Groundnut shells also showed maximum adsorption at optimum time, adsorbent dosage, pH, and temperature values of 120 min, 2 g L–1, 8, and 41.5°C, respectively. Among the four tested isotherm models, the adsorption data were best fitted to the Temkin model. The FTIR spectra revealed that –OH and –C–O groups were involved in the adsorption on groundnut shells (
2.4 Leaves
The leaves of various trees constitute the bulk of plant waste that can be used for the removal of different contaminants. The leaves of the mulberry, acacia, poplar, and other trees contain cellulose and hemicelluloses that are effective for adsorbing different pollutants from wastewater.
Pine leaves, pine needles, and pine sawdust have also been used for Cr treatment in batch and column studies (
FIGURE 5

(A) Batch and (B) column experiment setups for the adsorption studies (Parlayici and Pehlivan, 2019;
Both raw and sulfuric-acid-modified leaves of Ruellia patula Jacq have been evaluated for their removal efficiencies of Cr(VI); here, the Langmuir adsorption capacity was higher for the modified adsorbent (62.50 mg g−1) than the raw form (37.03 mg g−1). Desorption was carried out using sodium hydroxide and offered the best results for the first three cycles (Saranya et al., 2017). Okra leaves have also been investigated for Cr(VI) removal, where the maximum adsorption capacity of 81.94 mg g−1 was observed at pH = 2. From a sample of industrial wastewater, okra leaves were noted to adsorb approximately 92.15% of Cr. A regeneration study was also conducted using different chemicals, which showed that 96% of the adsorbent ions could be recovered using up to 5 mL of 1M HCl solution. An interference study revealed that in the presence of Na2C2O4, Cr(VI) adsorption increased by up to 6%. FTIR studies have specified the involvement of hydroxyl, oxime, and carboxylic acid groups in adsorption (Khaskheli et al., 2016). Waste material like the leaves of green tea have also shown the highest percentage removal (99%) of Cr(VI). A desorption study showed that 0.1 N HCl had the best performance among four different solutions. Jeyaseelan and Gupta (2016) showed through an interference study that Cd and Zn allow increased adsorption of Cr(VI) owing to their increased surface areas, whereas Cu, Ni, and Fe decrease Cr(VI) adsorption through competition among the various ions.
E. schimperi leaves showed a maximum adsorption of 97.39% at an optimum pH of 2, where the Langmuir isotherm best described the adsorption of Cr(VI) (Gebrehawaria et al., 2015). Green moringa tea leaves were used to accomplish a Cr(VI) uptake capacity of 33.9 mg g−1 at a pH of 2 with an initial adsorbate concentration of 100 mg L−1; here, the equilibrium data were found to be best fitted to the Freundlich isotherm (Timbo et al., 2017). C. fistula leaves were found to have a maximum monolayer adsorption of 4.48 mg g−1 at an equilibrium time of 360 min, where the surface area of the leaves was 1.09 m2 g−1 (
2.5 Agricultural waste
Naiya et al. (2011) investigated different low-cost agricultural wastes like rice straw, bran, and husk for Cr(VI) adsorption. Characterization of the raw and Cr(VI)-loaded adsorbents by FTIR spectroscopy revealed the presence of hydroxyl, alkene, aromatic, nitro, silicon oxide, and carboxylate anion groups on the adsorbents that were responsible for the uptake of metals from wastewater. Biomass-based natural waste materials follow the complex process of Cr(VI) adsorption through several mechanisms, including electrostatic attraction, reduction, and ion exchange (
Cr(VI) can be reduced to Cr(III) by direct or indirect reduction, as shown in Figure 6. When the pH is low, direct reduction of Cr(VI) to Cr(III) is observed because of its higher reduction potential than the functional groups present on the adsorbent surface, which results in bond formation of Cr(III) with the adsorbent functional groups. On the other hand, three steps are involved in indirect reduction. First, oxoanions of Cr(VI) are adsorbed on the protonated functional groups like amino and carboxyl groups; second, Cr(VI) is reduced to Cr(III) with the help of the electron-donating functional groups on the adsorbent surface; third, Cr(III) forms complexes with the adsorbent functional groups or is repulsed by the electron-rich groups on the adsorbent surface and is released into the solution (
FIGURE 6

Possible mechanisms of Cr(VI) adsorption (
Rice husk has been employed to remove Cr(VI) and has shown almost 78.6% removal efficiency at a pH of 5.2 (Khalil et al., 2021). Maize biomass can also be used as an adsorbent; maize as a grain is used as food, whereas the other parts of the plant are used as fodder for livestock. The tassels and cobs of maize are abundantly available in developing countries and are economical alternatives for Cr adsorption. Murugesan et al. (2012) tested the potentials of acid-modified corn cob (AMCAC) and unmodified corn cob (UMCAC) for Cr(VI) adsorption. At lower metal-ion concentrations, 96% adsorption was observed, which is attributed to the interactions between all metallic ions and the active sites of the adsorbent. At higher concentrations of the metal ions, adsorption decreases as the metals compete for available active sites on the biomass surface, resulting in saturation of the binding sites; in this case, 95% removal was observed at the optimum time of 60 min. High amounts of the adsorbent (25–100 mg) can increase the removal of Cr ions from 26.22% to 90.06% because of the increased number of exchangeable binding sites. Here, the optimum adsorbent dose was reported to be 100 mg; the equilibrium data were best fitted to the Redlich–Peterson model and followed pseudo-second-order kinetics. The maximum metal uptake capacities were 22.82 mg g−1 and 54.11 mg g−1 for UMCAC and AMCAC, respectively. Hydroxyl, aldehyde, and halide groups are present on the biomass surface and are responsible for Cr(VI) adsorption (Murugesan et al., 2012). Mahajan and Sud (2013) studied three different forms of Acacia saligna pods (lignocellulosic nitrogenous waste), namely A. saligna pods natural (ASPN), A. saligna pods carbon (ASPC) in the AC form, and A. saligna pods beads (ASPBs) impregnated in hydrated beads form, for the batch treatment of Cr(VI). Here, the FTIR spectrum reveals that various functional moieties like C-H, hydroxyl, –C=O, and –OCH3 groups are responsible for Cr(VI) adsorption on A. saligna pods. The data follow second-order kinetics with good correlation coefficients, and the greatest removal was achieved at a low pH of 2. The efficiency of removal was observed in the following order: ASPC (97%) > ASPBs (94%) > ASPN (92%). The equilibrium condition was attained at 30 min for ASPC as well as 60 min for ASPBs and ASPN. Thus, it was concluded that ASPBs possessed more removal efficiency than natural forms of the pods (Mahajan and Sud, 2013). Singha et al. (2011) explored the Cr batch removal efficiencies of naturally available adsorbents, including rice straw, rice bran, hyacinth roots, neem bark, and neem leaves. The FTIR spectra revealed the presence of various functional moieties like hydroxyl, aromatic, alkene, silicon oxide, carboxylate, nitro, and sulfonic acid groups, which were responsible for Cr(VI) adsorption. The maximum adsorption was attained at 10 g L−1 of the adsorbent amount in 3–6 h. The experimental data were best fitted to the Langmuir isotherm, and the sorption energy was obtained from the D-R model, which showed the involvement of a chemisorption-based adsorption process (Singha et al., 2011). Manjusha (2012) examined the utility of papaya peel powder and observed higher Cr(VI) removal at lower initial metal-ion concentrations in wastewater.
The novel adsorbent Artemisia absinthium showed that Cr(VI) treatment efficiency decreases in the presence of an electrolyte such as 0.1 N potassium nitrate; the monolayer capacity was reportedly 46.99 mg g−1. According to the intraparticle diffusion model, Cr(VI) adsorption occurs in three stages; further, approximately 93% of Cr(VI) can be recovered from the column using 0.01 N sodium hydroxide (Rao et al., 2015). A previous report showed that approximately 1 g of Caryota urens inflorescence waste as an adsorbent biomass can treat approximately 175 mL of Cr(VI) solution (Rangabhashiyam and Selvaraju, 2015). Ash gourd peel waste having a BET surface area of 0.4854 m2 g−1 was found to be effective for Cr(VI) adsorption (18.7 mg g−1); according to the BDST, the uptake capacity was found to be 128.98 mg g−1 (Sreenivas et al., 2014).
Grass pea is a common food legume and is an agricultural waste.
2.6 Bark
Sharma and Goyal (2011) showed that the bark of Eucalyptus tereticornis had removal efficiencies of 70% and 94% for Cr(VI) present in tannery effluents and chrome-plating effluent, respectively. Manjusha (2012) also reported the use of the ecofriendly material Mangifera indica bark dust for Cr(VI) removal in a batch system, where the optimum adsorbent dosage was 0.8 g L−1 and optimum time was 25 min; the Cr(VI) removal was observed to follow a smooth curve, indicating monolayer coverage. The bark of Pithecellobium dulce was investigated for Cr(VI) removal, and it was found that maximum Cr(VI) removal was obtained at a pH of 5 with an adsorbent dose of 1 g L−1 (Muthulakshmi and Baskaran, 2017). A. albida bark was shown to have a Cr(VI) removal efficiency of up to 98.47% at an optimum pH of 2; here, the equilibrium data followed the Langmuir isotherm and pseudo-second-order kinetics, and the FTIR spectrum revealed the presence of polar functional groups on the adsorbent surface like hydroxyl, amide, and amine groups for Cr(VI) adsorption (Gebrehawaria et al., 2015). The optimum conditions for Cr(VI) removal using a fixed-bed column containing sago bark (Metroxylon sagu) were a flow rate of 2 mL min−1 and bed depth of 9 cm; it was also found that used sago bark could be regenerated using 0.01 M of nitric acid (Fauzia et al., 2021).
2.7 Microbial biomasses
2.7.1 Algae
Raw and chemically modified Spirulina platensis were reported to have adsorption capacities of 79.6 and 158.7 mg g−1, respectively, in a batch reaction. A continuous column study with the modified adsorbent confirmed maximum adsorption capacity at a flow rate of 50 mL h−1 and an initial metal concentration of 200 mg L−1. Both the raw and modified algae could be regenerated by up to 89.6% and 94.3%, respectively (
Pithophora oedogonia contains carbonyl, carboxyl, and hydroxyl functional groups that are responsible for 90% Cr(VI) removal at pH = 4 (Suleman et al., 2017). Chlorella vulgaris green micro algae was explored to be an economical and efficient adsorbent for Cr(VI) adsorption of up to 99.75% (Indhumathi et al., 2014). The economical green algae Ulva fasciata sp. showed efficient removal (77%) of Cr(VI) at pH = 6 (Prasanna Kumar et al., 2017). Polysiphonia urceolata and Chondrus ocellatus were found have maximum uptake capacities of 170.6 mg g−1 and 113.4 mg g−1, respectively, at optimum conditions and obeyed pseudo-second-order kinetics reflecting a chemisorption mechanism; the results also revealed the involvement of carbonyl, hydroxyl, and amino groups in Cr(VI) adsorption (Li et al., 2015). Valli et al. (2013) explored the efficiency of green algae biomass for Cr(VI) adsorption in a batch experiment and reported 75% removal. Kurniasih et al. (2013) investigated the efficiency of immobilized algal bloom biomass for Cr(VI) removal and observed the highest percentage removal when the algal bloom biomass was treated with 0.1 N HCl; here, the maximum uptake capacity was reported to be 11.494 mg g−1.
Esmaeili et al. (2010) studied and compared the Cr(VI) removal efficiencies of dried (BD) Sargassum spp. (brown marine algae) and its AC form; the optimum pH and equilibrium time were found to be 2.0 and 120 min, respectively, while the maximum adsorption capacities was observed to be 3.69 mg g−1 for the BD and 6.877 mg g−1 for the AC forms. Sujin Jeba Kumar et al. (2013) examined the immobilized cells of a microalgae (Isochrysis galbana) for Cr(VI) adsorption; they reported a maximum uptake capacity of 29.21 mg g−1 at pH = 4 and temperature of 35°C, where the experimental data were well fitted to the Langmuir model. Table 2 presents a comparison of different algal biomasses used as adsorbents for Cr(VI) removal.
TABLE 2
| Algal species | Modified with | pH | Metal concentration (mg/L) | Time (min) | Dose (g/L) | T (oC) | Mixing speed (rpm) | Removal (%) | Reference |
|---|---|---|---|---|---|---|---|---|---|
| Chlorella sorokiniana | NG | NG | NG | 4,320 | NG | NG | NG | 99.6 | Husien et al. (2019) |
| Spirulina platensis | NG | 3.0 | NG | NG | 2 | 45 | NG | 94.2 | |
| Spirulina platensis | 4-Aminopyridine | 3.0 | NG | NG | 2 | 45 | NG | 98.7 | |
| Blue-green marine algae | NG | 5.0 | 2–250 | 1,440 | 2 | NG | 120 | NG | Ramadoss and Subramaniam (2018) |
| Sargassum myriocystum | NG | 5.2 | 50–250 | 108 | 2 | NG | 120 | 85 | Jayakumar et al. (2015) |
| Pseudopediastrum boryanum var. longicorne | NG | 2.0 | 10–100 | NG | NG | 250 | 70 | Sutkowy and Kłosowski (2018) | |
| Cladophora glomerata | NG | 2.0 | 10–20 | 60 | 1 | 45 | 200 | 66 | |
| Enteromorpha intestinalis | NG | 2.0 | 10–20 | 60 | 1 | 45 | 200 | 48 | |
| Microspora amoena | NG | 2.0 | 10–20 | 60 | 1 | 45 | 200 | 53 | |
| Pithophora oedogonia | NG | 4.0 | NG | NG | 1 | 30 | 180 | 90 | Suleman et al. (2017) |
| Chlorella vulgaris | NG | 3.0 | 20–120 | 120 | 0.12 | NG | 120 | 99.75 | Indhumathi et al. (2014) |
| Ulva fasciata sp. | NG | 6.0 | 20–100 | 30 | 3 | NG | 180 | 77 | Prasanna Kumar et al. (2017) |
| Polysiphonia urceolata | NG | 2.0 | 25–250 | 60 | 4 | 45 | 150 | >65 | Li et al. (2015) |
| Chondrus ocellatus | NG | 2.0 | 25–250 | 40 | 4 | 45 | 150 | >55 | Li et al. (2015) |
| Spirulina platensis | H2SO4 | 3.0 | 50–750 | 30 | 1 | 30 | 80 | 99.81 | Gunasundari and Kumar (2016) |
| Padina boergesenli | NG | 1.0 | 50–350 | 180 | 4 | NG | 150 | 100 | Thirunavukkarasu and Palanivelu (2007) |
| Green algae | NG | 2.0 | 50–80 | 30 | 5 | NG | 150 | 75 | Valli et al. (2013) |
| Laminaria japonica | NG | 1.0 | 100–500 | 540 | 4 | 30 | NG | 60 | Wang et al. (2008) |
| Porphyra yezoensis Ueda | NG | 1.0 | 100–500 | 540 | 4 | 30 | NG | 60 | Wang et al. (2008) |
| Oedogonium hatei | NG | 2.0 | 50–100 | 110 | 0.8 | 45 | NG | NG | Gupta and Rastogi (2009) |
| Ulva lactuca | NG | 1.0 | 5–250 | 120 | 2–15 | 25 | 200 | 92 | El-Sikaily et al. (2007) |
Comparative analysis of the process variables for the adsorption of Cr(VI) using algal biomass adsorbents.
NG: not given.
2.7.2 Bacteria
TABLE 3
| Bacterial species | Modified with | pH | Metal concentration (mg/L) | Time (min) | Dose (g/L) | T (oC) | Mixing speed (rpm) | Removal (%) | Reference |
|---|---|---|---|---|---|---|---|---|---|
| Bacillus subtilis | NG | 2.0 | 25–200 | NG | 0.2–1 | NG | 150 | 37.5 | Sethuraman and Balasubramanian (2010) |
| Enterobacter cloacae | NG | 2.0 | 25–200 | NG | 0.2–2 | NG | 150 | 94.9 | Sethuraman and Balasubramanian (2010) |
| Pseudomonas aeruginosa | NG | 6.0 | 25–200 | NG | 0.2–3 | NG | 150 | 67.9 | Sethuraman and Balasubramanian (2010) |
| Pseudomonas putida | NG | NG | 10–50 | 5760 | NG | 30 | 120 | 90.88 | |
| Pseudomonas aeruginosa | NG | NG | 10–50 | 5760 | NG | 30 | 120 | 69.7 | |
| Bacillus sp. | NG | NG | 10–50 | 5760 | NG | 30 | 120 | 75 | |
| Pseudomonas aeruginosa | NG | NG | NG | 4320 | NG | NG | NG | 52.26 | |
| Bacillus spp. | NG | 2.0 | NG | NG | NG | 37 | 150 | 95 | Karthikeyan and Mythili (2011) |
| Staphylococcus spp. | NG | 8.0 | NG | NG | NG | 37 | 150 | 97 | Karthikeyan and Mythili (2011) |
| Pseudomonas sp. (alive) | NG | NG | NG | 240 | NG | NG | NG | NG | |
| Bacillus subtilis (Dead) | NG | 2.0 | 50–150 | NG | 1–3 | 30 | NG | NG | Sivaprakash et al. (2009) |
| Nostoc muscorum | NG | 3.0 | NG | 120 | 0.2–1.6 | 25 | NG | 93.2 | Gupta and Rastogi (2008) |
| Litinus sajor caju (free) | NG | 2.0 | 100 | 120 | 25 | 25 | 200 | 18.9 | |
| Litinus sajor caju (Immobilized) | NG | 2.0 | 100 | 120 | 25 | 25 | 200 | 32.2 | |
| Eriobotrya japonica | NG | 5.0 | 10–100 | 60 | 1–40 | NG | 120 | 68 | |
| Bacillus subtilis | NG | 2.0 | 50–150 | 480 | 2 | 30 | 100 | NG | Sivaprakash et al. (2009) |
| Nostoc calcicola HH-12 | Sodium alginate | 3.0 | 20 | 30 | NG | 26 | 120 | 70 | |
| Chroococcus sp. | Sodium alginate | 4.0 | 20 | 30 | NG | 27 | 120 | 60 | |
| Pseudomonas sp. (dead) | NG | NG | NG | 240 | NG | 80 | NG | 49.6 | |
| Pseudomonas sp. (alive) | NG | NG | NG | 240 | NG | 80 | NG | 44 | |
| Pseudomonas sp. | NG | NG | NG | 240 | NG | 80 | NG | 66.55 | |
| Lyngbya putealis HH-15 | Sodium alginate | 2–3 | 10–100 | 120 | NG | 25 | 120 | 82 | Kiran et al. (2007) |
Comparative analysis of the process variables for the adsorption of Cr(VI) using bacterial biomass adsorbents.
NG: not given.
2.7.3 Fungi
The adsorption capacities of both active and inactive Pleurotus ostreatus were evaluated, which revealed that inactive P. ostreatus allowed 100% removal of 50 mg L−1 of Cr(VI) at an optimum time of 22 min while active P. ostreatus enabled 100% removal of 25 mg L−1 of Cr(VI) at 360 h (
Artist’s bracket fungus was explored for its Cr(VI) adsorption potential at various batch parameter values of the initial metal concentration, dose, and pH, which showed that the PZC value of the fungus was 3 (Pourkarim et al., 2017). A. niger was found to have an adsorption capacity of 11.792 mg g–1 at pH = 2 and follow pseudo-second-order kinetics; here, approximately 94% of the Cr(VI) was removed, and the adsorbent could be regenerated using 0.5 M EDTA; further, amines of the adsorbent cell wall were found to be involved in Cr(VI) adsorption (Mondal et al., 2017). Different species of fungi were isolated from the contaminated soil of a tannery in India, and the results revealed a maximum removal efficiency of 96.3% of Cr(VI) by A. niger compared to other fungal species (Sivakumar, 2016). Majumder et al. (2017) reported a maximum uptake capacity of 100.69 mg g−1 for Arthrinium malaysianum, where the used adsorbent can be regenerated by up to 41.17% using sodium hydroxide solution. Table 4 presents a comparison of various fungal biomasses used as adsorbents for Cr(VI) removal.
TABLE 4
| Fungal species | Modified with | pH | Metal concentration (mg/L) | Time (min) | Dose (g/L) | T (oC) | Mixing speed (rpm) | Removal (%) | Reference |
|---|---|---|---|---|---|---|---|---|---|
| Aspergillus niger | NG | 4.6 | NG | 48.45 | 0.05 | 60 | 500 | 87.8 | Mondal et al. (2017) |
| Aspergillus niger | NG | 3.0 | NG | 10,080 | NG | NG | NG | 96.3 | Sivakumar (2016) |
| Arthrinium malaysianum | NG | 3.0 | NG | 28,800 | NG | NG | NG | 67 | Majumder et al. (2017) |
| Aspergillus niger | NG | 3.0 | NG | 7,200 | NG | NG | NG | 93 | Shankar et al. (2014) |
| Aspergillus fumigatus | NG | 3.0 | NG | 7,200 | NG | NG | NG | 89 | Shankar et al. (2014) |
| Aspergillus flavus | NG | 3.0 | NG | 7,200 | NG | NG | NG | 84 | Shankar et al. (2014) |
| Aspergillus fumigatus Fresenius | NG | 3.0 | NG | 7,200 | 1 | 35 | 100 | 97 | |
| Pleurotus ostreatus | NG | 3.0 | NG | 360 | NG | NG | 150 | 100 | |
| Aspergillus niger spores | NG | 2.0 | 25–200 | NG | 2 | 40 | 120 | NG | Ren et al. (2018) |
| Litinus sajor caju (free) | NG | 2.0 | 100 | 120 | 25 | 25 | 200 | 18.9 | |
| Litinus sajor caju (immobilized) | NG | 2.0 | 100 | 120 | 25 | 25 | 200 | 32.2 | |
| Cunninghamella elegans sp. | Ca alginate | 2.0 | 25–1000 | 120 | NG | 25 | 150 | NG | |
| Phanerochaete chrysosporium | NG | NG | 100 | 120 | NG | RT* | 100 | 48.6 | Nikazar et al. (2008) |
| Penicillium canescens | NG | 6.0 | 100 | 240 | NG | 20 | 100 | 34.8 | Say et al. (2003) |
| Aspirgillus oryzai | NG | 2.0 | 5 | 330 | 10 | 37 | 150 | 89 | Issac et al. (2012) |
| Aspergillus sojae | NG | 2.0 | 5 | 330 | 10 | 37 | 150 | 85 | Issac et al. (2012) |
| Eriobotrya japonica | NG | 5.0 | 10–100 | 60 | 1–40 | NG | 120 | 68 | |
| Aspergillus niger | NG | 4.5 | NG | 8,640 | NG | 30 | 200–300 | 92 | Shugaba et al. (2012) |
| Fusarium solani | Polyethyleneimine | 4.5 | NG | 8,640 | NG | 30 | 200–300 | 96 | Shugaba et al. (2012) |
Comparative analysis of the process variables for the adsorption of Cr(VI) using fungal biomass adsorbents.
NG: not given.
2.7.4 Yeast
Yeast is a eukaryotic organism that is usually unicellular; the cytoplasm present in the living yeast cell is involved in interactions with metal ions, so yeast was tested for Cr(IV) removal potential. The carboxymethyl cellulose present in Lentinus sajor caju was evaluated for Cr(VI) treatment, which showed a removal capacity of 32 mg g−1 at a pH of 2, temperature of 25°C, and initial metal solution concentration of 100 mg L−1. Numerous functional groups are present of the cell wall of mycelia (COOH, =NH, -NH2, -OH, and -SH), which indicate the interactions of the adsorbent surface with metal ions (
TABLE 5
| Yeast species | Modified with | pH | Metal concentration (mg/L) | Time (min) | Dose (g/L) | T (oC) | Mixing speed (rpm) | Removal (%) | Reference |
|---|---|---|---|---|---|---|---|---|---|
| Candida tropicalis | NG | 2.0 | 20 | 30 | 0.025 | 30 | 220 | 87 | Yin et al. (2008) |
| Saccharomyces cerevisiae | NG | 6.0 | 204 | 120 | NG | 30 | 150 | 84 | Parvathi and Nagendran (2007) |
| Yarrowia lipolytica NCIM 3589 | NG | 1.0 | 950 | 120 | 1.49 | 35 | 130 | 64 | |
| Yarrowia lipolytica NCIM 3590 | NG | 1.0 | 955 | 120 | 1.7 | 35 | 130 | 46 | |
| Cunninghamella elegans sp. | NG | 2.0 | 25–1,000 | 120 | NG | 25 | 150 | NG | |
| Eriobotrya japonica | NG | 5.0 | 10–100 | 60 | 1–40 | NG | 120 | 68 | |
| Saccharomyces cerevisiae | Chitosan lignosulfate | NG | 30–130 | NG | 1 | 30 | 180 | 86.95 | Saifuddin and Raziah (2007) |
| Kazachstania yasuniensis | NG | 4.0 | 10–100 | 10–30 | NG | NG | NG | 80 | |
| Kodamaea transpacifica | NG | NG | 10–100 | 10–30 | NG | NG | NG | 80 | |
| Saturnispora quitensis | NG | NG | 10–100 | 10–30 | NG | NG | NG | 80 |
Comparative analysis of the process variables for the adsorption of Cr(VI) using yeast-based adsorbents.
NG: not given.
3 Development of AC from waste biomasses
Pal and Kaur (2013) investigated the effects of different particle sizes (0.3–1.0 mm) of physically activated sawdust of Dalbergia sissoo (ASD) for Cr(VI) adsorption in a batch experiment. They noted that the Cr(VI) removal improved from 66% to 85.4% with increase in adsorbent amount from 0.2 to 1.2 g per 100 mL for ASD particles of size 0.3 mm. Moreover, improved adsorption from 61% to 81.2% was observed with a particle size of 1.0 mm. However, when the metal concentration was increased over 5–50 mg L−1, the efficiency of Cr removal reduced from 87% to 73% for ASD of 0.3 mm size and from 83% to 70% for ASD of 1.0 mm size. Maximum adsorption was achieved at a pH of 2.0, at which point the adsorptive surface became more positively charged and showed greater attraction to anionic species of Cr(VI). At high pH, lower adsorption was observed owing to reduced attractive forces between the anionic species of Cr and adsorbent surface. Equilibrium was established within 60 min, and there was no further adsorption thereafter because of non-availability of vacant sites. The data were best fitted to the Freundlich and Langmuir isotherms (Pal and Kaur, 2013). Physically activated Ziziphus spina-christi leaves showed a maximum Cr(VI) removal efficiency of 97.22% at optimum time, pH, initial metal concentration, adsorbent dose, and temperature conditions. The adsorption data were fitted well to the Langmuir isotherm, reflecting a maximum adsorption capacity of 13.81 mg g−1. The thermodynamic parameters also revealed the endothermic nature of Cr(VI) adsorption (
H2SO4-activated cashew nut was used for Cr(VI) removal in a column study, which showed the best results at a bed height of 10 cm (Yahya et al., 2020). HCl-activated M. indica leaves showed a maximum adsorption capacity of 78.96 mg g−1 (Pathania et al., 2020). Vikal et al. (2013) investigated activated Ziziphus jujuba leaf powder (local name Bordi), which showed maximum Cr(VI) removal at an adsorbent dose of 15 g within 105 min. Physical activation of the adsorbent was performed at 80°C for 48 h, and FTIR spectroscopy confirmed that the hydroxyl, aliphatic alkane, and O-C stretching of the ether groups were responsible for adsorption. The experimental data were fitted well to both the Langmuir and Freundlich models (Vikal et al., 2013). Sawdust modified with diethylenetriamine also revealed 75% adsorption of Cr(VI) at an optimum adsorbent dosage of 2 g L−1 (
Sulfuric-acid-activated rice husk showed maximum removal of the adsorbate at a contact time of 120 min and pH of 2. Low desorption results, i.e., 0.1%–9%, revealed strong bonding between the adsorbent and adsorbate as well as the chemisorption nature of the activated adsorbent; the BET surface area was reported to be 58.54 m2 g−1 (Khan et al., 2016). Sodium-hydroxide-activated carbon prepared from L. leucocephala seed pod showed a Langmuir adsorption capacity of 26.94 mg g−1 under optimum conditions. The data were best fitted to pseudo-second-order kinetics, indicating chemical adsorption. Furthermore, the desorption efficiency decreased from 63.42% to 47.56% from the first to third cycles as the metal uptake capacity decreased with adsorbent reuse (Yusuff, 2019). Cicer arietinum (chickpea) husk was chemically activated using KOH and K2CO3 and tested for removal of Pb, Cu, and hexavalent Cr; the results showed better porosity formation upon impregnation with KOH (50 wt%), with a BET surface area and total pore volume of 2,082 m2 g−1 and 1.07 cm3 g−1, respectively. The maximum adsorption capacities were in the order of Pb(II) > Cr(VI) > Cu(II), i.e., corresponding to 135.8, 59.6, and 56.2 mg g−1, and the thermodynamic parameters indicate an endothermic adsorption process (Özsin et al., 2019). Great millet husk was also shown to have an adsorption capacity of 22.21 mg g−1 for Cr(VI) removal after chemical modification with sulfuric acid (Prajapati et al., 2022); the metal uptake potential of sulfuric-acid-activated neem bark was tested in a column experiment for hexavalent Cr. When the adsorbent mass was increased from 25 to 175 g at a constant metal ion concentration and flow rate, the breakthrough time was noted to increase from 9.25 to 111.66 h. Activated neem adsorbent has been shown to have excellent effects on a treated mixture of metals (hexavalent Cr, Cu, and Zn) from wastewater; it was revealed that 40% Cr(VI) could be recovered by shaking the exhausted adsorbent with distilled water at 90°C for 2 h, and the data were best fitted to the Yoon–Nelson kinetic model (Maheshwari and Gupta, 2016). Lantana camara plant activated with nitric acid displayed a maximum adsorption capacity of 26.25 mg g−1 at optimum time, initial concentration, temperature, and pH conditions; the adsorption of Cr(VI) was tested in the presence of interference ions to assess the utility of the activated adsorbent in real industrial effluent applications, and it was observed that the adsorption of Cr(VI) was slightly affected by tenfold excess of co-anions like NO3−, Cl−, and CO32–; however, very little effect was noted in the case of SO42– and PO43– (89.0%), while no interference was observed in the case of co-cations like Zn+2 (Ravulapalli and Kunta, 2018).
Sulfuric-acid-modified holly sawdust was studied for Cr(VI) treatment in a batch experiment (Siboni et al., 2011); it was observed that the percentage removal of Cr(VI) increased from 34.65% to 99.99% with increasing adsorbent amounts from 2 to 10 g L–1. Increasing the initial concentration of the metal ions in the range of 20–100 mg L–1 reduced the efficiency from 99.37% to 40.24%. Moreover, the Cr(VI) removal efficiency decreased from 99.67% to 29.78% with increase in pH from 2 to 12. At low or acidic pH, the adsorbent surface acquires positive charges and Cr(VI) generally exists in the form of HCrO4−. However, the HCrO4− changes to CrO42− and Cr2O72− at high pH, where the competition between CrO42− and OH− anions also decreases. Equilibrium was attained within 90 min, and the Langmuir model was observed to define the experimental results better than the Freundlich isotherm, with the adsorbent following pseudo-second-order kinetics. The maximum uptake was reported as 18.86 mg g−1 at a high pH of 7.0. Two different forms of sawdust, namely, powder sawdust activated with acid (ASDP) and bead-form sawdust with surface modification (SDCCB), were investigated for the treatment of Cr(VI) in a batch study (
Swietenia mahagoni shell modified by sulfuric acid and orthophosphoric acid was found to be an excellent adsorbent for the treatment of Cr(VI) in a column. The Cr(VI) adsorption capacities of sulfuric-acid- and orthophosphoric-acid-modified S. mahagoni shells from the BDST model were found to be 1,989.4 mg L−1 and 2,785.2 mg L−1, respectively (Rangabhashiyam et al., 2016). Mane (2010) revealed the potentials of chemically (sulfuric acid) activated tendu (Diospyros melanoxylon) leaf refuse (TLR) and commercial activated carbon (CA-CAC) for the treatment of Cr(VI) from solution. The optimum pH was reported as 2, at which point neutralization of negative charges occurred on the adsorbent surface due to excess hydrogen ions, resulting in diffusion or adsorption of the hydrogen chromate ions (HCrO4−). At pH between 1.0 and 4.0, hydrogen chromate ions are the dominant form of Cr(VI). Another reason for maximum removal at low/acidic pH is the oxidation of Cr2O72– to Cr3+, which is easily replaced by the positive species owing to its small size. The equilibrium time attained for CA-CAC was 120 min and that for CA-TLR was 30 min. Thus, it was found that CA-TLR is more efficient for Cr(VI) removal than CA-CAC (Mane, 2010). Pandhram and Nimbalkar (2013) explored the efficiency of low-cost activated neem leaves for Cr(VI) removal from industrial effluents; here, the adsorbent was physically activated for 3 h in a furnace at 250°C. In a batch experiment at a pH of 4, the maximum removal observed was 67.5%. At a solution concentration of 30 mg/100 mL, the maximum percentage removal efficiency of Cr(VI) was 98%. At an adsorbent dose of 8 mg/100 mL, the removal efficiency was observed to be maximum at 85% (Pandhram and Nimbalkar, 2013).
The Cr(VI) percentage removal efficiencies of boiled rice husk, formaldehyde-treated rice husk, and rice husk carbon from wastewater were examined in a batch study. The adsorption process was favored at pH = 2 when using an adsorbent dose of 4 g L−1 at 25°C. The Cr(VI) removal efficiency was in the order of rice husk carbon > formaldehyde-treated rice husk > boiled rice husk (Subhan and Pardeep, 2011).
Grafted peels of banana displayed 96% Cr(VI) removal at optimum pH and dose of 3 and 4 g L−1, respectively (
4 Comparisons of adsorbents and chemical modifications for Cr(VI) removal
Previous reports in literature have revealed the following order for average Cr(VI) removal (Figure 7) when using different biomasses without any modifications or activation: leaves > bark > agricultural waste > dry shells > tea = fungi > yeast > algae > sawdust > bacteria. The adsorption data of different types of leaves are best fitted to both the Langmuir and Freundlich isotherm models, reflecting single-layer physisorption as well as multilayer chemisorption. Leaf modifications do not increase the maximum adsorption efficiency, so it is economical to use leaves that are available in bulk refuse without prior treatment with chemicals in various industries, especially in developing countries. Studies also show that adsorption depends on the solution pH, functional groups on the adsorbent surface, particle size of the adsorbent, and metal-ion concentration.
FIGURE 7

Box-and-whisker plot showing percentage removal of Cr(VI) by various natural biomasses. SDB: sawdust biomass, TB: tea biomass, DSB: dry shell biomass, LB: leaf biomass, AWB: agricultural waste biomass, BKB: bark biomass, AB: algal biomass, BB: bacterial biomass, FB: fungal biomass, YB: yeast biomass.
The physical and/or chemical modifications enhanced Cr(VI) removal with almost all natural lignocellulosic (organic) adsorbents. The major mechanisms driving metal-ion adsorption are electrostatic interactions, surface complexation, and ion exchange. Modification of the adsorbents with acids produced the best results for Cr(VI) removal, followed by modifications with salts and bases (Figure 8). Modification with an acid results in positive charges on the adsorbent surface (
FIGURE 8

Box-and-whisker plot showing percentage removal of Cr(VI) by modifications of natural adsorbents. A: acid, B: base, S: salt, FD: formaldehyde, FS: formaldehyde with sulfuric acid, DT: diethylenetriamine, GD: glutaraldehyde, DW: distilled water, DES: diethyl ether and sulfuric acid, SDA: sodium alginate, IM: immobilized.
In the box-and-whisker plots shown in Figures 7 and 8, the rectangles (boxes) represent the interquartile range (IQR; range between the 25th and 75th percentiles) while the lines (whiskers) represent the spread of the data, which extend to the minimum and maximum values (excluding outliers). The central line within each box indicates the median value.
5 Future directions
In most of the reported works, researchers have focused on batch experimentation; however, it is important to work on column designs using natural adsorbents for field applications. Hence, further exploration is needed for the development of novel and efficient natural adsorbents from natural materials, such as functionalized adsorbents, nanocomposites, engineered biochars, and hybrid materials. More studies are needed on the treatment of real industrial wastewater and effluents containing multiple pollutants as there is less available work on this area given that most of the literature is on synthetic solutions of single adsorbates. In most cases, the Freundlich and Langmuir isotherms were used for the analyses while there are very few reported cases of using other models like the Elovich, D-R, and Temkin isotherms; this area also needs to be explored further for better understanding of the nature of adsorption processes. Exploration of the microscopic mechanisms of adsorption is also needed using advanced techniques like X-ray photoelectron spectroscopy and density functional theory simulations. The development of cost-effective methods to produce AC from locally available biomasses is the most desired need for field applications. Hence, more research efforts are required for optimizing methods for economical development of AC from various available waste biomasses. Mixtures or compositions with varying ratios of the activated and non-activated adsorbents should also be evaluated for pollutant removal. Low regeneration has been observed with most of the adsorbents; therefore, further desorption/regeneration processes should be studied using different variables like pH, temperature, rotation speed, chemicals, etc. for renewal of exhausted adsorbents. Another area for future development is the exploration of hybrid or synergetic treatment approaches in which adsorption is combined with other technologies like biological treatments, membranes, electrochemical reduction, photocatalysis, and advanced oxidation processes. There is also a need to carry out lifecycle assessments of the Cr adsorption processes. Lastly, we note the importance of conducting cost-benefit analyses to better understand the practical applications of the adsorbents.
6 Conclusion
The bulk of organic biomass is often treated as waste and refuse all around the world. The present review on these waste biomasses reveals their effectiveness as low-cost adsorbents for the removal of Cr(VI) from wastewater. Our survey indicates the following order of utility of various biomasses for Cr(VI) removal: leaves > bark > agricultural waste > dry shells > tea = fungi > yeast > algae > sawdust > bacteria. Among the various types of bulk biomasses available, leaves have been proven to be the most efficient and economical sources for Cr(VI) removal that do not require any prior treatment. The optimum pH for the treatment was found to be 2 for both raw and modified adsorbents. The major mechanisms driving metal ion adsorption are electrostatic interactions, surface complexation, and ion exchange. Both the Langmuir and Freundlich isotherms show best fits to the adsorption data in most cases, which is indicative of both physisorption and chemisorption mechanisms. Previous literature also indicates that the adsorption depends on the solution pH, surface functional groups on the adsorbent, particle size of the adsorbent, and metal ion concentration in the solution. Lastly, we recommend that the commercial application of these adsorbents be enforced and a standardized practice be established for the treatment of wastewater at the industrial level.
Statements
Author contributions
HH: Methodology, Formal Analysis, Writing – original draft. TB: Writing – review and editing, Project administration. JS: Methodology, Investigation, Writing – review and editing. AC: Writing – review and editing, Resources. LR: Data curation, Writing – review and editing. VB: Conceptualization, Writing – review and editing, Methodology. HB: Writing – review and editing, Visualization. MB: Project administration, Writing – review and editing, Supervision, Funding acquisition.
Funding
The author(s) declare that financial support was received for the research and/or publication of this article. The authors wish to thank the Higher Education Commission of Pakistan for providing funding for the research project (no. 20-1915/R&D/10/5253).
Conflict of interest
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.
Generative AI statement
The author(s) declare that no Generative AI was used in the creation of this manuscript.
Publisher’s note
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Summary
Keywords
adsorption, adsorbents, activation, batch experiments, chromium (VI)
Citation
Haroon H, Butt TA, Shah JA, Ciobica A, Romila LE, Burlui V, Bibi H and Bilal M (2025) Valorization of natural adsorbents for removing chromium (VI) from industrial wastewater: a review. Front. Chem. 13:1608863. doi: 10.3389/fchem.2025.1608863
Received
09 April 2025
Accepted
09 May 2025
Published
12 June 2025
Volume
13 - 2025
Edited by
Tamer S. Saleh, National Research Centre, Egypt
Reviewed by
Heng Zhang, Guizhou University, China
Alessandro Piovano, Polytechnic University of Turin, Italy
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© 2025 Haroon, Butt, Shah, Ciobica, Romila, Burlui, Bibi and Bilal.
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*Correspondence: Hajira Haroon, hajira@uoh.edu.pk; Alin Ciobica, alin.ciobica@uaic.ro
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