Bioinspired modeling and biogeography-based optimization of electrocoagulation parameters for enhanced heavy metal removal

Jain, Anupam; Rai, Saumitra; Srinivas, R.; Al-Raoush, Riyadh I.

doi:10.1016/j.jclepro.2022.130622

Cited by 23 publications

(6 citation statements)

References 60 publications

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“…Hybrid methods include microelectrolysis, microbial electrolytic cell, electrocoagulation process, bioelectrochemical systems, and so on. Among all these methods, electrolysis is the most important technique for heavy metal removal. − …”

Section: Chemical Methodsmentioning

confidence: 99%

A Critical Review on the Sustainable Approaches for the Removal of Toxic Heavy Metals from Water Systems

Carolin

Kamalesh

Kumar³

et al. 2023

Ind. Eng. Chem. Res.

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Heavy metal pollution results in enormous environmental impacts and significant human health problems. Because of their extreme toxicity and lack of biodegradability, heavy metal ions in water are considered problematic. Although the removal of various heavy metal ions from wastewater has been widely investigated, heavy metal contamination still requires effective and suitable remediation. With special attention on heavy metal removal, this study reviews recent advances, breakthroughs, and potential applications of various physical, chemical, and biological methods. Each treatment method has specific mechanisms of interaction with metal ions, which are described in this review. The discussion in this review leads to the conclusion that adsorption has the best potential which leads to the sustainable remediation of heavy metals. In summary, the review provides a new perspective on heavy metal reduction and encourages the development of innovative strategies for heavy metal removal. The main current problems and prospects in this field are highlighted in this review.

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Section: Chemical Methodsmentioning

confidence: 99%

A Critical Review on the Sustainable Approaches for the Removal of Toxic Heavy Metals from Water Systems

Carolin

Kamalesh

Kumar³

et al. 2023

Ind. Eng. Chem. Res.

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“…The BBO algorithm simulates the movement of species between different habitats in nature. Due to its simple principle and few parameters, BBO attracted many scholars once it was proposed and has been widely used in various fields [27][28][29][30]. Compared with other meta-heuristic algorithms, BBO has the following advantages: (1) BBO uses the migration operator to complete the variable exchange between candidate solutions, which is more ergodic than the crossover operator.…”

Section: Introductionmentioning

confidence: 99%

A Comprehensive Multi-Strategy Enhanced Biogeography-Based Optimization Algorithm for High-Dimensional Optimization and Engineering Design Problems

Gao,

Li,

Gao

et al. 2024

Mathematics

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The biogeography-based optimization (BBO) algorithm is known for its simplicity and low computational overhead, but it often struggles with falling into local optima and slow convergence speed. Against this background, this work presents a multi-strategy enhanced BBO variant, named MSBBO. Firstly, the example chasing strategy is proposed to eliminate the destruction of the inferior solutions to superior solutions. Secondly, the heuristic crossover strategy is designed to enhance the search ability of the population. Finally, the prey search–attack strategy is used to balance the exploration and exploitation. To verify the performance of MSBBO, we compare it with standard BBO, seven BBO variants (PRBBO, BBOSB, HGBBO, FABBO, BLEHO, MPBBO and BBOIMAM) and seven meta-heuristic algorithms (GWO, WOA, SSA, ChOA, MPA, GJO and BWO) on multiple dimensions of 24 benchmark functions. It concludes that MSBBO significantly outperforms all competitors both on convergence accuracy, speed and stability, and MSBBO basically converges to the same results on 10,000 dimensions as on 1000 dimensions. Further, MSBBO is applied to six real-world engineering design problems. The experimental results show that our work is still more competitive than other latest optimization techniques (COA, EDO, OMA, SHO and SCSO) on constrained optimization problems.

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“…Various technologies have been implemented for eliminating heavy metals from industrial effluents. Some of these technologies include electro-flotation [ 11 , 12 ], ion exchange [ 13 ], electro-coagulation [ 14 ], coagulation–flocculation [ 15 ], precipitation [ 16 ], membrane filtration [ 17 ], and solvent extraction [ 18 ]. Although these technologies minimize the residual metal ion concentration in the treated effluent, the high operational cost, materials cost, and low heavy metal uptake efficiency have limited their application in large-scale operations [ 14 , 17 , 19 ].…”

Section: Introductionmentioning

confidence: 99%

“…Some of these technologies include electro-flotation [ 11 , 12 ], ion exchange [ 13 ], electro-coagulation [ 14 ], coagulation–flocculation [ 15 ], precipitation [ 16 ], membrane filtration [ 17 ], and solvent extraction [ 18 ]. Although these technologies minimize the residual metal ion concentration in the treated effluent, the high operational cost, materials cost, and low heavy metal uptake efficiency have limited their application in large-scale operations [ 14 , 17 , 19 ]. Numerous studies have reported that the implementation of a low-cost adsorbent for adsorptive heavy metals elimination from industrial effluents would be an effective alternative to the conventional methods of industrial effluent treatment [ 8 , 9 , 19 ].…”

Section: Introductionmentioning

confidence: 99%

Adsorptive Elimination of Heavy Metals from Aqueous Solution Using Magnetic Chitosan/Cellulose-Fe(III) Composite as a Bio-Sorbent

et al. 2023

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Magnetic chitosan/cellulose nanofiber-Fe(III) [M-Ch/CNF-Fe(III)] composites were isolated for the elimination of Cr(VI), Cu(II), and Pb(II) from aqueous solution. Various analytical methods, such as field emission scanning electron microscopy (FE-SEM), transmission electron microscopy (TEM), Fourier-transform infrared spectroscopy (FT-IR), X-ray diffraction analysis (XRD), and thermogravimetric analysis (TGA) were employed to determine the morphological, physicochemical, and thermal properties of the isolated M-Ch/CNF-Fe(III) composites. It was found that the M-Ch/CNF-Fe(III) composites were porous materials, and they have the potential to be implemented as an adsorbent for heavy metals removal. The adsorption efficiency of M-Ch/CNF-Fe(III) composites was determined for Cr(VI), Cu(II), and Pb(II) elimination with changing pH (pH 1.0–8.0), adsorbent doses (0.05–1.0 g), time (15–90 min), and temperature (28–80 °C). In addition, isothermal and kinetics studies were conducted to assess the adsorption behavior and mass transfer phenomena of M-Ch/CNF-Fe(III) composites as an adsorbent for Cr(VI), Cu(II) and Pb(II) elimination from aqueous solution. The outcomes of the present study reveal that the M-Ch/CNF-Fe(III) composites could be utilized as an adsorbent for the Cr(VI), Cu(II), and Pb(II) elimination from industrial effluents.

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Bioinspired modeling and biogeography-based optimization of electrocoagulation parameters for enhanced heavy metal removal

Cited by 23 publications

References 60 publications

A Critical Review on the Sustainable Approaches for the Removal of Toxic Heavy Metals from Water Systems

A Critical Review on the Sustainable Approaches for the Removal of Toxic Heavy Metals from Water Systems

A Comprehensive Multi-Strategy Enhanced Biogeography-Based Optimization Algorithm for High-Dimensional Optimization and Engineering Design Problems

Adsorptive Elimination of Heavy Metals from Aqueous Solution Using Magnetic Chitosan/Cellulose-Fe(III) Composite as a Bio-Sorbent

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