Heavy metal removal from wastewater using nanomaterials-process and engineering aspects

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Date

2021-06

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Elsiever

Abstract

ALAdsorbent loading ANFISAdaptive network based fuzzy inference system ANNArtificial Neural Network APHAdsorbent Packaging Height BTBreakthrough Time CA-LDHCa/Al layered double hydroxides CDColumn Diameter CS-CNTchestnut shell-carbon Nanotubes CTS-G-PAchitosan-graft-polyacrylamide DHPCT3,4-dihydroxyphenethylcarbamodithioate DMSADimercaptosuccinic acid ECExhaustion Capacity FRFlow rate LAMMPSLarge-scale Atomic/Molecular Massively Parallel Simulator LDH/GOMg−Al-layered double hydroxide-supported graphene oxide MGL compositesMagnetic composites consisting of magnetite (Fe3O4), graphene oxide (GO), and Mg3Al−OH layered double hydroxide (LDH) MIMetal Ion MLP-ANNMulti-layer perceptron NCNanocomposites NPNanoparticles ORPOxidation – Reduction Potential RAReducing Agent RBF-ANNRadial basis Function ROReverse Osmosis SCMNPSilica Coated Magnetic Nanoparticles SOSSymbiotic Organism Search ZnCr-LDHZn-Cr layered double hydroxide ZVIZero Valent Iron

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Keywords

Chemical Engineering, Nanomaterials, Heavy metal adsorption, Synthesis protocols, Eco-friendly

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