Volume 8, Issue 3 (September 2023)
J Environ Health Sustain Dev 2023, 8(3): 2078-2095 |
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DH. Abbas M, Yousefi Kebria D. Simulation of Heavy Metals Adsorption Using Recycled Bentonite Clay Waste in a Fixed Bed Depth Column. J Environ Health Sustain Dev 2023; 8 (3) :2078-2095
URL: http://jehsd.ssu.ac.ir/article-1-630-en.html
URL: http://jehsd.ssu.ac.ir/article-1-630-en.html
Department of Environmental Engineering, Civil Engineering Faculty, Babol Noshirvani University of Technology, Iran.
Abstract: (313 Views)
Introduction: The study objective is to remove heavy metals from an aqueous solution using recycled bentonite clay waste (RBCW) as a low-cost and green adsorbent in a continuous system. The produced RBCW results from thermal remediating of the hazardous industrial bentonite clay waste that is a by-product of used engine oil recycling plants.
Materials and Methods: The doses of the RBCW adsorbent were (1.0, 1.5, and 2.0) g mixed with (30, 40, and 50) g of the crystalline sand to produce bed depth columns of (22, 30, and 38 cm), respectively. The influent concentrations of all adsorbates were (20, 50, and 100) ppm, and the flow rates of the continuous system were (0.5, 1.0, and 2.0) mL/min.
Results: The BET, XRF, and SEM tests and the experimental data approved that RBCW is active material for heavy metals adsorption. The adsorption capacity and breakthrough time of Pb, Cd, Cr, Zn, and Ni for dominant parameters (flow rate of 1.0 mL/min, adsorbent mass of 1.0 g, and influent concentration of heavy metals of 20 ppm) were 70.36, 36.05, 27.55, 21.67, and 18.63 mg/g, and 35, 19.73, 11.38, 6.25, and 8.13 hr, respectively.
Conclusion: The RBCW adsorbent has more than one advantage in industrial and environmental issues. The (R2) values for Thomas, Yoon-Nelson, and BDST models were higher than 0.9. Moreover, the breakthrough curves of experimental data were more fitted with the Yoon-Nelson model due to the high value of R2 and low values of Chi-square, absolute average deviation, and standard deviation.
Materials and Methods: The doses of the RBCW adsorbent were (1.0, 1.5, and 2.0) g mixed with (30, 40, and 50) g of the crystalline sand to produce bed depth columns of (22, 30, and 38 cm), respectively. The influent concentrations of all adsorbates were (20, 50, and 100) ppm, and the flow rates of the continuous system were (0.5, 1.0, and 2.0) mL/min.
Results: The BET, XRF, and SEM tests and the experimental data approved that RBCW is active material for heavy metals adsorption. The adsorption capacity and breakthrough time of Pb, Cd, Cr, Zn, and Ni for dominant parameters (flow rate of 1.0 mL/min, adsorbent mass of 1.0 g, and influent concentration of heavy metals of 20 ppm) were 70.36, 36.05, 27.55, 21.67, and 18.63 mg/g, and 35, 19.73, 11.38, 6.25, and 8.13 hr, respectively.
Conclusion: The RBCW adsorbent has more than one advantage in industrial and environmental issues. The (R2) values for Thomas, Yoon-Nelson, and BDST models were higher than 0.9. Moreover, the breakthrough curves of experimental data were more fitted with the Yoon-Nelson model due to the high value of R2 and low values of Chi-square, absolute average deviation, and standard deviation.
Type of Study: Original articles |
Subject:
Environmental Health, Sciences, and Engineering
Received: 2023/05/19 | Accepted: 2023/07/10 | Published: 2023/09/30
Received: 2023/05/19 | Accepted: 2023/07/10 | Published: 2023/09/30
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