Application of machine/statistical learning, artificial intelligence and statistical experimental design for the modeling and optimization of methylene blue and Cd(ii) removal from a binary aqueous solution by natural walnut carbon-Reference-Cited by-同舟云学术

Application of machine/statistical learning, artificial intelligence and statistical experimental design for the modeling and optimization of methylene blue and Cd(ii) removal from a binary aqueous solution by natural walnut carbon

Published:2017 Issue:18 Volume:19 Page:11299-11317
ISSN:1463-9076
Container-title:Physical Chemistry Chemical Physics
language:en
Short-container-title:Phys. Chem. Chem. Phys.

Author:

Mazaheri H.¹²³⁴,Ghaedi M.¹²³⁴,Ahmadi Azqhandi M. H.⁵⁶²⁷⁴^ORCID,Asfaram A.¹²³⁴

Affiliation:

1. Chemistry Department

2. Yasouj University

3. Yasouj 75918-74831

4. Iran

5. Applied Chemistry Department

6. Faculty of Petroleum and Gas (Gachsaran)

7. Gachsaran

Abstract

We developed and constructed a novel model that could make reliable predictions on the adsorption of methylene blue dye and Cd²⁺ions from an aqueous medium.

Publisher

Royal Society of Chemistry (RSC)

Subject

Physical and Theoretical Chemistry,General Physics and Astronomy

Link

http://pubs.rsc.org/en/content/articlepdf/2017/CP/C6CP08437K

Reference42 articles.

1. Effective removal of sulfur dyes from water by biosorption and subsequent immobilized laccase degradation on crosslinked chitosan beads

2. Adsorption of methylene blue onto spinel magnesium aluminate nanoparticles: Adsorption isotherms, kinetic and thermodynamic studies

3. Synthesis of Cd doped ZnO/CNT nanocomposite by using microwave method: Photocatalytic behavior, adsorption and kinetic study

4. Adsorption of Cd(ii) from aqueous solution by biogenic selenium nanoparticles

5. Hydrogel-supported nanosized hydrous manganese dioxide: Synthesis, characterization, and adsorption behavior study for Pb2+, Cu2+, Cd2+ and Ni2+ removal from water

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