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Adsorbent made with inexpensive, local resources

  • Ashraf Fakhri Obeid , Basim Khalil Nile , Maad F. Al Juboury EMAIL logo , Abdulnoor A. J. Ghanim and Waqed H. Hassan
Published/Copyright: July 18, 2024
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Abstract

An affordable local adsorbent was physically activated and modified to form a novel composite adsorbent. Similar processes were used to activate bentonite and limestone to create this low-cost local adsorbent. Furthermore, when compared to the inexpensive local resources, the innovative composite adsorbent showed improved adsorption capacity. Fouling brought on by sulphate-ion pollution is a significant problem in the wastewater treatment industry. In this work, a composite material known as Limestone and Bentonite composite, was developed, and its capacity to absorb sulphate ions from tainted wastewater was evaluated. Using the scanning electron microscope, X-ray diffraction, Fourier transform infrared spectroscopy, and Brunauer–Emmett–Teller theory, the chemical, elemental, and mineralogical properties, as well as the functional group interaction, of the limestone, bentonite, and LB composite were determined. The model wastewater initially included 900 mg/L of sulphate ions; however, the experiment showed that the new (LB) composite absorbed over 729 mg/L of sulphate ions. Its (LB) = 81% strong elimination effectiveness was observed. It was found that the ideal adsorption conditions were 250 rpm, 60 min, 900 mg/L, and 0.5 g/50 mL. Adsorption studies were carried out in batches. With a greater determination coefficient, the Freundlich model provides a more accurate prediction for adsorption processes, bolstering the theory that chemisorption is the actual adsorption process. These results demonstrate the novel composite adsorbent (LB)’s tremendous potential for sulphate ion absorption.

1 Introduction

The increasing concern for water pollution caused by metallic elements is a pressing issue in separation science and environmental remediation [1]. Metallic components are released into the environment from various sectors such as electroplating, metal finishing, textiles, storage batteries, mining, ceramics, and glass [2]. Metallic element ions are abundant in the organisms via which they enter food chains and cannot be broken down, leading to serious health issues in both humans and animals [3]. The toxicity of SO 4 2 , Cu2+, and Pb2+ is the primary concern among the metallic elements of public concern [4,5,6,7]. Thus, it becomes vital to remove these harmful metal ions from manufacture waste water and natural water sources. Water contaminated with metallic elements has been treated using various methods such as chemical precipitation, adsorption, solvent extraction, reverse osmosis, ion exchange, filtering, and electrodialysis [8,9,10,11,12]. Adsorption technologies are very efficient and cost-effective due to their low price, straightforward construction, and robust operability. Numerous materials, including inorganic materials [13,14], polymers [15], activated carbon [16,17,18], biomaterials [19], and sorption resins [20], have been described for the adsorption of metallic elements. Despite this, many researchers are still interested in the creation of effective and significantly less expensive adsorption materials. Adsorption is a highly efficient method for removing toxins from wastewater, known for its versatility, design simplicity, reusability, low cost, and eco-friendliness [21]. As shown in Figure 1 [22], adsorption is the physical adhesion of ions and molecules to the surfaces of other molecules. Hazardous contaminants have been successfully removed from wastewater using a variety of adsorbents, including biosorbents [23], activated carbon [24], biochar [25], clays and minerals [26], polymers and composites [27], and others with a high adsorption uptake capacity. This is due to their accessibility, economic viability, capacity for regeneration, eco-friendliness, and place of origin [28]. They can also be created synthetically using green materials [29]. However, the cost of using adsorbents for wastewater treatment must be reduced without compromising water treatment performance [30]. The preparation of an inexpensive and efficient adsorbent was the goal of this investigation. Using limestone and bentonite clay material as an adsorbent (BL) for the removal of sulphate ions is a smart decision because of its good efficacy and reasonable cost. Few research has examined the ability of clay minerals to extract sulphate ions from solutions, as far as we are aware. The aim of this work is to remove SO 4 2 from wastewater by employing waste and low-cost materials as an adsorbent. Where, clay materials like bentonite and limestone are effective adsorbents (LB) for removing sulphate ions due to their low cost and high performance, though research on their removal from liquids is limited. The project’s goal is to extract SO 4 2 from wastewater by employing a wasteful and reasonably priced adsorbent.

Figure 1 
               Procedure of the experimental work.
Figure 1

Procedure of the experimental work.

2 Methodology

2.1 Flowchart

Experimental work protocol is shown in Figure 1.

2.2 Adsorbate

The sulphate solution was prepared by dissolving K2SO4 in distilled water, resulting in a concentration of 900 mg/L. The solution was kept at 25°C, pH adjusted using 0.1 M HCl or 0.1 M NaOH, and stock solutions were used for various concentrations (100, 200, 300, 400, 500, 700, and 900 mg/L) for experiments.

Equations used [31]:

(1) W = C i × V M . wt At . wt ,

(2) C 1 × V 1 = C 2 × V 2 ,

(3) % R = C o C e C o × 100 .

The symbols used in the equations above are defined in Table 1.

Table 1

Definitions of the symbols used in Equations (1)–(3)

No Symbol Definition
1 W Weight of the salt in grams,
2 V Volume of the solution in liters
3 C i Required sulphate concentration in milligrams per litre
4 M Salt’s molecular weight in grams
5 At Atomic weight of SO4 in grams
6 C 1 Concentration of the solution (1,000 mg/L)
7 C 2 Concentration of the diluted solution
8 V 1 Volume that is needed
9 V 2 Diluted volume

2.3 Adsorbent

The adsorbent composites are prepared by physical activation, crushing and forming a bentonite–water composite of limestone and bentonite by progressively adding bentonite, and sludge is then added. Sludge is added, and the materials are dried for 12 h at 105.5°C. The liquid is agitated using a magnetic stirrer for 30 min. The cure is then filtered and burned using filter sheets at 800°C for 2 h. The finished product is ground by grinding. The bentonite-to-sludge mass ratios were 4:1, 3:1, 2:1, 1:1, 1:2, 1:3 and 1:4 [32].

2.4 Batch tests

The LB’s sulphate adsorption capability was evaluated using batch adsorption studies. To achieve homogeneous mixing, the initial concentration was 900 mg/L, initial pH was 7.5, the contact time was 60 min, the agitation speed was 200 rpm, and the adsorbent dosage was 100 mg/50 mL at room temperature (25°C). The solution was filtered through 0.45 μm membrane filters, and barium chromate spectrophotometry was used to calculate sulpate content. Magnetic stirrers were used to mix 50 mL of effluent with 100 mg of adsorbent. The sulphate concentration was determined by assuming 100% sulphate dissolution in Equation (1) [33].

3 Results and discussion

Figure 2 illustrates the results of batch studies conducted to evaluate the efficacy of the adsorbent in removing sulphate from wastewater. The initial results suggested that the ideal mass ratio of LB was 1:2, resulting in an 81% efficiency.

Figure 2 
               Removal efficiency of LB composite [33].
Figure 2

Removal efficiency of LB composite [33].

3.1 Characterization of the material

3.1.1 Brunauer–Emmett–Teller (BET) analysis

The BET theory describes the physical adsorption of gas molecules on solid surfaces and can be used to calculate the specific surface area of a material [34]. The specific area of bentonite is 11.2959 m2/g and limestone is 7.5571 m2/g. The fact that composite LB had a specific surface area of 22.1282 m2/g demonstrates that the activation process causes the specific surface area to increase to 42.1283 m2/g. This shows that an increase in surface area leads to a higher adsorption capacity.

3.1.2 Fourier transform infrared spectroscopy (FTIR) test

Figure 3 shows the FTIR spectra of limestone, bentonite, BL before adsorption, BL after adsorption process. The samples’ spectra reveal the presence of many functional groups. These spectra showed that following the alteration process, there was a decrease, broadening, disappearance, or development of new peaks. The effect of alteration was evident by the shifts in the spectra. The noticeable bands upon modification demonstrate the produced adsorbents’ ability to effectively remove sulphate. The silicate characteristic bands, which are closely linked to the stretching vibrations of Si–O, are identified by the peaks seen at 1042.89, 1036.41, and 1029.58 cm−1. These peaks coincide with those reported by Bulut and Tez [35] at 1,150, 1,060, and 1,030 cm−1. The Si–O deformation bands are attributed to the peaks at 1036.41 and 1007.92 cm1, which are more in line with the values reported at 1,033, 1,032, and 1,007 cm1. The Al–OH bending vibration of kaolin clay type was attributed to the peaks ranging from 912 to 937 cm1, which are more in line with the 914–936 cm1 range [36]. The Si–O stretching of the kaolin clay type was attributed to the peaks at 799.10, 757.78, and 797.78 cm−1. These peaks matched the ones noted by Georges–IVO 2 at 796, 754, and 695 cm−1.

Figure 3 
                     FTIR spectra of (a) limestone, (b) bentonite, (c) LB before, and (d) LB after sulphate adsorption.
Figure 3 
                     FTIR spectra of (a) limestone, (b) bentonite, (c) LB before, and (d) LB after sulphate adsorption.
Figure 3

FTIR spectra of (a) limestone, (b) bentonite, (c) LB before, and (d) LB after sulphate adsorption.

3.1.3 Scanning electron microscope images

The surface morphology of LB is shown in Figure 4. The LB has a compact, homogeneous pore structure with edges, sharp corners, and rough surfaces. Because of its shape and enormous surface area, LB was able to absorb additional pollution. The particles in this LB are regular and well-defined. Usually, it is lamellar in structure.

Figure 4 
                     Images SEM for the (a) limestone, (b) bentonite, and (c) LB composite before adsorption and (d) LB composite after adsorption.
Figure 4 
                     Images SEM for the (a) limestone, (b) bentonite, and (c) LB composite before adsorption and (d) LB composite after adsorption.
Figure 4

Images SEM for the (a) limestone, (b) bentonite, and (c) LB composite before adsorption and (d) LB composite after adsorption.

3.1.4 EDS test

The LB composite is shown in Figure 5 to incorporate elements from the S, O, and EDS spectra. The fact that the levels of S and O significantly rise after modification shows that the co-precipitation method of synthesis was successful in loading the LB composite.

Figure 5 
                     EDS spectrum for the (a) limestone, (b) bentonite, and (c) LB composite before adsorption and (d) LB composite after adsorption.
Figure 5

EDS spectrum for the (a) limestone, (b) bentonite, and (c) LB composite before adsorption and (d) LB composite after adsorption.

3.2 Results of adsorption

This experiment’s objective was to assess how effectively the adsorbent absorbed sulphate from simulated contaminated wastewater. The studies that were carried out using various methods (contact time, pH solution, starting concentration, agitation speed, and adsorbent dosage) are shown in this section.

3.2.1 Equilibrium time

The time needed to reach equilibrium is an important measurement to make during batch testing since it shows how long it will take for contaminants to re-distribute between the liquid and solid phases. The SO 4 2 transfer monitoring from the liquid phase to the LB composite is depicted in Figure 6 for contact durations of no more than one hour (60 min). This result was obtained with the initial conditions of pH = 7.5, 200 rpm of agitation, 0.1 g/50 mL of dosage, and 900 mg/L of adsorbate at 25°C. The LB removal percentages rise quickly due to the abundance of vacant sites accessible for interaction with sulphate molecules [37]. Nonetheless, the decline in these areas was associated with a reduction in sorption rate, especially after 180 min. This time frame is adequate to achieve “equilibrium” because no discernible change in sulphate removal occurs until 60 min, and by 180 min, the sulphate removal efficiency surpassed 90.4% [38]. Batch testing determines the time needed for contaminants to redistribute between liquid and solid phases. Monitoring SO 4 2 transfer from the liquid phase to the LB composite for contact times no longer than 60 min shows a quick rise in LB removal percentages due to vacant sites. However, sorption rate decreases after 180 min, reaching “equilibrium” with a sulphate removal efficiency exceeding 90.4% at 180 min [39].

Figure 6 
                     Sulphate removal efficiency affected by time.
Figure 6

Sulphate removal efficiency affected by time.

3.2.2 pH of the solution

Because pH has an impact on how ions behave during adsorption, it is the primary regulator of an adsorbent’s capacity to adsorb. Through protonation and deprotonation, the basic and acidic groups of the adsorbents interact with the surface structure. As protons are absorbed by the binding sites of ions, a higher pH causes an increase in ion adsorption. The adsorbent surface plays a role in the elimination process by increasing removal efficiency through competition between pollutants and H+ ions [35]. The results (Figure 7) are consistent with previous research, suggesting that pH plays a part in the elimination process.

Figure 7 
                     Sulphate removal efficiency affected by pH.
Figure 7

Sulphate removal efficiency affected by pH.

3.2.3 Effect of initial SO 4 2 concentrations

The efficiency of sulphate removal at various ion concentrations was examined in the study. According to the findings, ion removal was more effective at lower starting concentrations but became less effective at higher concentrations. This is because ions cannot interact with the active sites of the adsorbent, which becomes less favourable as ion concentrations rise. It was also discovered that the pH had a critical influence on the elimination process. The starting ion concentration determined the percentage of elimination [40]. The results (Figure 8) are consistent with previous research, suggesting that pH plays a role in the elimination process. The decrease in the percentage of ions eliminated may result from the adsorbent’s active sites’ inability to adsorb additional SO 4 2 ions from the solution. This suggests that monolayer ions formed on the adsorbent’s outer surface, as the percentage of removal was proportional to the starting ion concentration.

Figure 8 
                     Sulphate removal efficiency affected by initial concentration.
Figure 8

Sulphate removal efficiency affected by initial concentration.

3.2.4 Agitation speed

The study investigates the impact of agitation speed on sulphate removal efficiency from wastewater. The results show that the removal efficiency of SO 4 2 increases with agitation speed, reaching 97%. This is due to improved ion diffusion on the adsorbent surface, leading to better binding between adsorbent sites and sorbate ions. At 250 rpm, the best equilibrium and higher removal efficiency are achieved due to the availability of functional groups for interaction between sorbate and adsorbent. This results (Figure 9) in faster ion removal and reduced resistance to ion transport [41]. The reason for this is that when rotational speed is increased, the degree of adsorbent aggregation decreases, increasing the total amount of adsorbent surface area and raising the ion removal percentage. Additionally, SO 4 2 ions encounter resistance as they move through the boundary layer from the liquid phase to the solid phase. Rotation thus accelerates the movement of ions through solutions by thinning the boundary layer and lowering the resistance to ion transport.

Figure 9 
                     Sulphate removal efficiency affected by the agitation speed.
Figure 9

Sulphate removal efficiency affected by the agitation speed.

3.2.5 Effect of the adsorbent dosage

The study used varying adsorbent dosages in batch testing to determine their impact on sulphate adsorption. Results (Figure 10) showed that the sulphate removal efficiency increased with increased dosages. However, the concentration of sulphate in the solution and its binding to the adsorbent remained constant after the maximum rate of sulphate removal occurred at 0.5 g of adsorbent [42].

Figure 10 
                     Sulphate removal efficiency affected by the amounts of adsorbent dosage.
Figure 10

Sulphate removal efficiency affected by the amounts of adsorbent dosage.

3.3 Adsorption isotherm

The study calculates isotherms using the Langmuir and Freundlich models to fit experimental data. The results show a remarkable agreement between experimental and predicted values for SO 4 2 adsorption onto an adsorbent. The Freundlich model has the best fit, with a higher R 2 = 0.9798 when compared to other models. The general trend of isotherms for sulphate is favourable, as shown in Table 2 and Figure 11. Each contaminant equilibrium was determined using batch experiments.

Table 2

Adsorption isotherm models SO 4 2 on adsorbent; 25°C, pH = 6, dosage = 0.1 g/50 mL, time = 1 h, and agitation speed = 200 rpm

Isotherm Equation No Calculated parameters SO 4 2
Langmuir 2.2 q max (mg/g) 44.4
b (L/mg) 0.93
R 2 0.4705
Freundlich 2.3 K F (mg/g) 17.1
N 1.55
R 2 0.9798
Figure 11 
                  Adsorption isotherm models 
                        
                           
                           
                              
                                 
                                    SO
                                 
                                 
                                    4
                                 
                                 
                                    2
                                    ‒
                                 
                              
                           
                           {\text{SO}}_{4}^{2‒}
                        
                      on the adsorbent at 25°C, pH = 6, dosage = 0.1 g/50 mL, contact time = 1 h, and agitation speed = 200 rpm.
Figure 11

Adsorption isotherm models SO 4 2 on the adsorbent at 25°C, pH = 6, dosage = 0.1 g/50 mL, contact time = 1 h, and agitation speed = 200 rpm.

3.4 Adsorption kinetics

The sulphate adsorption process can be modelled as a chemical or physical reaction using pseudo-first-order and pseudo-second-order kinetics models. Nonlinear regression analysis was used to examine the nonlinear forms of kinetics adsorption models. The determination coefficient (R 2) for the sulphate adsorption process was found to be higher (R = 0.948) than the pseudo-first-order kinetics model, indicating it follows a chemisorption process [43], as shown in Table 3 and Figure 12.

Table 3

Adsorption kinetics model coefficients for SO 4 2 on adsorbent; 25°C, pH = 6, dosage = 0.1 g/50 mL, time = 1 h, and agitation speed = 200 rpm

Kinetic model Equation No Calculated parameters SO 4 2
Pseudo-first-order 2.9 k 1 (min−1) 0.000167
q e (mg/g) 181.27
R 2 0.8286
Pseudo-second-order 2.10 k 2 (g/mg min) 0.0003
q e (mg/g) 400
R 2 0.9480
Experimental q e 400.5
Figure 12 
                  Adsorption kinetics models calculated using nonlinear regression analysis for Sulfate (200 rpm, 0.1 g/50 mL, C
                     
                        o
                      = 900 mg/L, 25°C, contact time = 1 h, and pH = 6).
Figure 12

Adsorption kinetics models calculated using nonlinear regression analysis for Sulfate (200 rpm, 0.1 g/50 mL, C o = 900 mg/L, 25°C, contact time = 1 h, and pH = 6).

3.5 Adsorption mechanisms

Equilibrium, thermodynamic, and kinetic investigations were used to review the mechanism of sulphate adsorption on synthetic adsorbents. Studies using several isotherm models to describe the equilibrium of adsorption processes were conducted (Langmuir, Freundlich). It is possible to conclude that the adsorption processes on the surface of the adsorbent were homogenous, heterogeneous, or a combination of both based on the assumptions made by these models. Additionally, they can indicate whether the adsorption occurred chemically, physically, favourably, or unfavourably. The rate of the adsorption processes is mentioned in kinetic studies, which have been examined using diffusion-based models (Boyd, intra-particle diffusion, and mass-transfer models) and reaction-based models (pseudo-first-order and pseudo-second-order). The potential for instantaneous processes and the internal energy of a system can also be represented by thermodynamic parameters derived from equilibrium calculations.

4 Conclusion

Limestone and bentonite, which were used to recycle waste material, available, and without value (waste), were activated to increase their adsorption capacity, resulting in the formation of a new composite adsorbent. The researcher in this work used LB as an affordable adsorbent to solve sulphate ion contamination in wastewater treatment. The results demonstrated that LB was a more suitable adsorbent for sulphate removal due to its low cost and high efficiency. The procedure began with a concentration of 900 mg/L, pH of 7.5, a contact period of 60 min, an agitation speed of 200 rpm, and an adsorbent dosage of 100 mg/50 mL. The best mass-to-efficiency ratio, which yielded 81%, was (1:2). BET, SEM, EDX, and Fourier transform infrared spectroscopy analysis of the LB showed that the specific surface area was important for adsorption. The optimal parameters for adsorption were determined to be 60 min, 250 rpm, 900 mg/L, and 0.5 g/50 mL, with 97% efficiency. Adsorption studies were conducted in a batch mode. The Freundlich model offers a better forecast for adsorption processes, with a higher determination coefficient, supporting the hypothesis that chemisorption is the adsorption process. Because of its affordability and accessibility, LB could be used as a possible adsorbent for the removal of sulphate from wastewater.

  1. Funding information: Authors state no funding involved.

  2. Author contributions: All authors have accepted responsibility for the entire content of this manuscript and consented to its submission to the journal, reviewed all the results, and approved the final version of the manuscript. AFO, BKN, MFAJ, AAJG and WHH took part in planning and conducting the research, wrote the manuscript, and prepared the review.

  3. Conflict of interest: Authors state no conflict of interest.

  4. Data availability statement: All the data that support the findings of this study are available in the manuscript.

References

[1] Duranoğlu D, Kadιrgan N, Üstün B. Process modification of a wire‐welding plant for efficient sulfate removal. Water Environ J. 2012;26(1):56–62.10.1111/j.1747-6593.2011.00263.xSearch in Google Scholar

[2] Ismail HK, Abd Ali LI, Alesary HF, Nile BK, Barton S. Synthesis of a poly(p-aminophenol)/starch/graphene oxide ternary nanocomposite for removal of methylene blue dye from aqueous solution. J Polym Res. 2022;29:159.10.1007/s10965-022-03013-6Search in Google Scholar

[3] Schwarzenbach RP, Escher BI, Fenner K, Hofstetter TB, Johnson CA, von Gunten U, et al. The challenge of micropollutants in aquatic systems. Science. 2006;313:1072–7.10.1126/science.1127291Search in Google Scholar PubMed

[4] Nile. BK, Faris AM. The effect of MLSS values on removal of COD and phosphorus using control method of return activated sludge concentration. J Eng Appl Sci. 2018;13:9730–4.Search in Google Scholar

[5] Li J, Zhang SW, Chen CL, Zhao GX, Yang X, Li JX, et al. Removal of Cu(II) and fulvic acid by graphene oxide nanosheets decorated with Fe3O4 nanoparticles. ACS Appl Mater Interface. 2012;4:4991–5000.10.1021/am301358bSearch in Google Scholar PubMed

[6] Al Juboury MF, Alshammari MH, Al-Juhaishi MR, Naji LA, Faisal AAH, Naushad M, et al. Synthesis of composite sorbent for the treatment of aqueous solutions contaminated with methylene blue dye. Water Sci Technol. 2020;81:1494–506.10.2166/wst.2020.241Search in Google Scholar PubMed

[7] Alshammari M, Al Juboury MF, Naji LA, Faisal AAH, Zhu H, Al-Ansari N, et al. Synthesis of a novel composite sorbent coated with siderite nanoparticles and its application for remediation of water contaminated with congo red dye. Int J Env Res. 2020;14:177–91.10.1007/s41742-020-00245-6Search in Google Scholar

[8] Lee IH, Kuan YC, Chern JM. Factorial experimental design for recovering heavy metals from sludge with ion-exchange resin. J Hazard Mater. 2006;138:549–59.10.1016/j.jhazmat.2006.05.090Search in Google Scholar PubMed

[9] Abdulredha M, Al Khaddar R, Jordan D, Kot P, Abdulridha A, Hashim K. Estimating solid waste generation by hospitality industry during major festivals: A quantification model based on multiple regression. Waste Manag. 2018;77:388–400.10.1016/j.wasman.2018.04.025Search in Google Scholar PubMed

[10] Al-Sareji OJ, Abdulredha M, Mubarak HA, Grmasha RA, Alnowaishry A, Kot P, et al. Copper removal from water using carbonized sawdust. IOP Conf Ser Mater Sci Eng. 2021;1058:012015.10.1088/1757-899X/1058/1/012015Search in Google Scholar

[11] Obeid AF, Nile BK, Farouk M. Sulfate removal from wastewater by using waste material as an adsorbent. Open Eng. vol. Al Juboury MF, Abdulredha M, Nile BK. Photocatalysis and flocculation processes for recycling aquaculture effluent into nutrient-rich irrigation water. Water Supply 2022;22(3):3103–13.10.2166/ws.2021.417Search in Google Scholar

[12] Bonilla-Petriciolet A, Mendoza-Castillo DI, Dotto GL, Duran-Valle CJ. Adsorption in water treatment. Reference module in chemistry, molecular sciences and chemical engineering 1. 1st edn. Amsterdam: Elsevier; 2019. p. 1–21.10.1016/B978-0-12-409547-2.14390-2Search in Google Scholar

[13] Bonilla-Petriciolet A, Mendoza-Castillo DI, Reynel-Ávila HE. Adsorption processes for water treatment and purification. Berlin: Springer International Publishing; 2017. p. 256. ISBN: 978-3-319-58136-1.10.1007/978-3-319-58136-1_1Search in Google Scholar

[14] Nile BK, Al-Baidhani JH, Ghulam AN. A dimensional analysis of local sandy soil erosion induced by leaky sewer pipes. IOP Conf Ser: Mater Sci Eng, IOP Publishing; 2020; Liu JS, Ma Y, Xu TW, Shao GQ. Preparation of zwitterionic hybrid polymer and its application for the removal of heavy metal ions from water. J Hazard Mater. 2010;178:1021–9.10.1016/j.jhazmat.2010.02.041Search in Google Scholar PubMed

[15] Kadhim GZ. A study of adsorption of some heavy metal on selected Iraqi surfaces. M.Sc. thesis. University of Baghdad, College of Science for Women; 2010.Search in Google Scholar

[16] Khudhair NA, Nile BK, Al-Baidani JH. Evaluation of the operational performance of Karbala waste water treatment plant under variable flow using GPS-X model. Open Eng. 2024;14(1):20220558.10.1515/eng-2022-0558Search in Google Scholar

[17] Haghsheno R, Mohebbi A, Hashemipour H, Sarrafi A. Study of kinetic and fixed bed operation of removal of sulfate anions from an industrial wastewater by an anion exchange resin. J Hazard Mater. 2009;166(2–3):961–6.10.1016/j.jhazmat.2008.12.009Search in Google Scholar PubMed

[18] Lu H, Wu D, Jiang F, Ekama GA, van Loosdrecht MC, Chen GH. The demonstration of a novel sulfur cycle‐based wastewater treatment process: Sulfate reduction, autotrophic denitrification, and nitrification integrated (SANI®) biological nitrogen removal process. Biotechnol Bioeng. 2012;109(11):2778–89.10.1002/bit.24540Search in Google Scholar PubMed

[19] Rodriguez R, et al. Assessment of a UASB reactor for the removal of sulfate from acid mine water. Int Biodeterior Biodegrad. 2012;74:48–53.10.1016/j.ibiod.2012.07.012Search in Google Scholar

[20] Silva R, Cadorin L, Rubio J. Sulfate ions removal from an aqueous solution: I. Co-precipitation with hydrolysed aluminum-bearing salts. Miner Eng. 2010;23(15):1220–6.10.1016/j.mineng.2010.08.016Search in Google Scholar

[21] Aibinu AM, Folorunso TA, Saka AA, Ogunfowora LA, Iwuozor KO, Ighalo JO. Green synthesis of CuO nanocomposite from watermelon (Citrullus lanatus) rind for the treatment of aquaculture effluent. Reg Stud Mar Sci. 2022;52:102308.10.1016/j.rsma.2022.102308Search in Google Scholar

[22] Chen Y, Chen W, Fu L, Yang Y, Wang Y, Hu X, et al. Surface tension of 50 deep eutectic solvents: effect of hydrogen-bonding donors, hydrogen-bonding acceptors, other solvents, and temperature. Ind Eng Chem Res. 2019;58(28):12741–50.10.1021/acs.iecr.9b00867Search in Google Scholar

[23] Soliman N, Moustafa A. Industrial solid waste for heavy metals adsorption features and challenges; A review. J Mater Res Technol. 2020;9(5):10235–53.10.1016/j.jmrt.2020.07.045Search in Google Scholar

[24] Souza EC, Pimenta AS, Silva AJF, Nascimento PFP, Ighalo JO. HNO3-treated eucalyptus charcoal: a sustainable biosorbent for removing heavy metals from aqueous solutions Biomass Convers. Biorefin. 2021;1–15.Search in Google Scholar

[25] Zein R, Hevira L, Rahmayeni, Zilfa, Fauzia S, Ighalo JO. The improvement of indigo carmine dye adsorption by Terminalia catappa shell modified with broiler egg white Biomass Convers Biorefin 2022:1–18.10.1007/s13399-021-02290-3Search in Google Scholar

[26] Liu T, Lawluvy Y, Shi Y, Ighalo JO, He Y, Zhang Y, et al. Adsorption of cadmium and lead from aqueous solution using modified biochar: A review. J Environ Chem Eng. 2022;10:106502.10.1016/j.jece.2021.106502Search in Google Scholar

[27] Abdullahi AA, Ighalo JO, Ajala OJ, Ayika S. Physicochemical analysis and heavy metals remediation of pharmaceutical industry effluent using bentonite clay modified by H2SO4 and HCl. J Turkish Chem Soc Sect A: Chem. 2020;7:727–44.10.18596/jotcsa.703913Search in Google Scholar

[28] Américo-Pinheiro JHP, Paschoa CVM, Salomão GR, Cruz IA, Isique WD, Ferreira LFR, et al. Adsorptive remediation of naproxen from water using in-house developed hybrid material functionalized with iron oxide. Chemosphere 289(2022):Article 133222.10.1016/j.chemosphere.2021.133222Search in Google Scholar PubMed

[29] Rangabhashiyam S, Lins PVDS, de Magalhães Oliveira LM, Sepulveda P, Ighalo JO, Rajapaksha AU, et al. Sewage sludge-derived biochar for the adsorptive removal of wastewater pollutants: A critical review. Env Pollut. 2022;293:Article 118581.10.1016/j.envpol.2021.118581Search in Google Scholar PubMed

[30] Rashtbari Y, Sher F, Afshin S, Hamzezadeh A, Ahmadi S, Azhar O, et al. Green synthesis of zero-valent iron nanoparticles and loading effect on activated carbon for furfural adsorption. Chemosphere. 2022;287:Article 132114.10.1016/j.chemosphere.2021.132114Search in Google Scholar PubMed

[31] Albadarin AB, Collins MN, Naushad M, Shirazian S, Walker G, Mangwandi C. Activated lignin-chitosan extruded blends for efficient adsorption of methylene blue. Chem Eng J. 2017;307:264–72.10.1016/j.cej.2016.08.089Search in Google Scholar

[32] Nazeeh I. Removal of copper ions from simulated wastewater by applying electromagnetic-adsorption using banana peel adsorbent. M.Sc. Thesis. University of Baghdad, College of Engineering; 2016.Search in Google Scholar

[33] Esmail AA. Adsorption of Pb (II) Ions from Aqueous Phase using Activated Carbon prepared from Novel Precursor. MSc thesis. Al-Nahrain University, Chemical Engineering; 2016.Search in Google Scholar

[34] Thommes M, Kaneko K, Neimark AV, Olivier JP, Rodriguez-Reinoso F, Rouquerol J, et al. Physisorption of gases, with special reference to the evaluation of surface area and pore size distribution (IUPAC Technical Report). Pure Appl Chem. 2015;87(9–10):1051–69.10.1515/pac-2014-1117Search in Google Scholar

[35] Bulut Y, Tez Z. Adsorption studies on ground shells of hazelnut and almond. J Hazard Mater. 2007;149(1):35–41.10.1016/j.jhazmat.2007.03.044Search in Google Scholar PubMed

[36] Garg UK, Kaur MP, Garg VK, Sud D. Removal of hexavalent chromium from aqueous solution by agricultural waste biomass. J Hazard Mater. 2007;140(1–2):60–8.10.1016/j.jhazmat.2006.06.056Search in Google Scholar PubMed

[37] Buasri A, Yongbut P, Chaiyut N, Phattarasirichot K. Adsorption equilibrium of zinc ions from aqueous solution by using modified clinoptilolite. Chiang Mai J Sci. 2008;35(1):56–62.Search in Google Scholar

[38] Anwar J, Shafique U, Salman M, Dar A, Anwar S. Removal of Pb (II) and Cd (II) from water by adsorption on peels of banana. Bioresour Technol. 2010;6:1752–5.10.1016/j.biortech.2009.10.021Search in Google Scholar PubMed

[39] Palaniswamy R, Veluchamy C. Biosorption of heavy metals by Spirulina platensis from electroplating industrial effluent. Environ Sci: An Indian J. 2017;13(4):139–45.Search in Google Scholar

[40] Aroke U, Abdulkarim A, Ogunbunka R. Fourier transform infrared characterization of kaolin, granite, bentonite and barite. ATBU J Env Technol. 2013;6:1.Search in Google Scholar

[41] Zaker Y, Hossain MA, Islam TSA. Effect of various factors on the adsorption of methylene blue on silt fractionated from Bijoypur soil, Bangladesh. Int Res J Environ Sci. 2013;2(6):1–7.Search in Google Scholar

[42] Yang F, Sun S, Chen X, Chang Y, Zha F, Lei Z. Mg–Al layered double hydroxides modified clay adsorbents for efficient removal of Pb+2, Cu+2 and Ni+2 from water. Appl Clay Sci. 2016;123:134–40.10.1016/j.clay.2016.01.026Search in Google Scholar

[43] Wani AL, Ara A, Usmani JA. Lead toxicity: A review. Interdiscip Toxicol. 2015;8(2):55–64.10.1515/intox-2015-0009Search in Google Scholar PubMed PubMed Central

Received: 2024-01-16
Revised: 2024-04-20
Accepted: 2024-04-25
Published Online: 2024-07-18

© 2024 the author(s), published by De Gruyter

This work is licensed under the Creative Commons Attribution 4.0 International License.

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