Modelling of adsorption of nickel (II) by blend hydrogels (cellulose nanocrystals and corn starch) from aqueous solution using adaptive neuro‐fuzzy inference systems (ANFIS) and artificial neural networks (ANN)-Reference-Cited by-同舟云学术

Modelling of adsorption of nickel (II) by blend hydrogels (cellulose nanocrystals and corn starch) from aqueous solution using adaptive neuro‐fuzzy inference systems (ANFIS) and artificial neural networks (ANN)

Published:2022-09-21 Issue:4 Volume:101 Page:1906-1918
ISSN:0008-4034
Container-title:The Canadian Journal of Chemical Engineering
language:en
Short-container-title:Can J Chem Eng

Author:

Banza Musamba¹,Rutto Hilary¹

Affiliation:

1. Clean Technology and Applied Materials Research Group, Department of Chemical and Metallurgical Engineering Vaal University of Technology Vanderbijlpark South Africa

Publisher

Wiley

Subject

General Chemical Engineering

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/cjce.24603

Reference30 articles.

1. M.Banza H.Rutto J.Kabuba presented at 9th Int. Conf. on Advances in Science Engineering Technology and Waste Management (ASETWM‐17) Parys South Africa November2018.

2. Synthesized af-PFCl and GG-g-P(AN)/TEOS hydrogel composite used in hybridized technique applied for AMD treatment

3. Ecotoxicological assessment of micropollutant Diclofenac biosorption on magnetic sawdust: Phyto, Microbial and Fish toxicity studies

4. Continuous fixed-bed column study and adsorption modeling removal of Ni²⁺, Cu²⁺, Zn²⁺ and Cd²⁺ ions from synthetic acid mine drainage by nanocomposite cellulose hydrogel

5. A multi-functional-group modified cellulose for enhanced heavy metal cadmium adsorption: Performance and quantum chemical mechanism

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