Removal of heavy metals from binary and multicomponent adsorption systems using various adsorbents – a systematic review-Reference-Cited by-同舟云学术

Removal of heavy metals from binary and multicomponent adsorption systems using various adsorbents – a systematic review

Published:2023 Issue:19 Volume:13 Page:13052-13093
ISSN:2046-2069
Container-title:RSC Advances
language:en
Short-container-title:RSC Adv.

Author:

Bayuo Jonas¹²^ORCID,Rwiza Mwemezi J.¹,Sillanpää Mika³,Mtei Kelvin Mark¹

Affiliation:

1. School of Materials, Energy, Water, and Environmental Sciences (MEWES), The Nelson Mandela African Institution of Science and Technology (NM-AIST), P.O. Box 447, Arusha, Tanzania

2. Department of Science Education, School of Science, Mathematics, and Technology Education (SoSMTE), C. K. Tedam University of Technology and Applied Sciences (CKT-UTAS), Postal Box 24, Navrongo, Upper East Region, Ghana

3. Department of Chemical Engineering, School of Mining, Metallurgy and Chemical Engineering, University of Johannesburg, P. O. Box 17011, Doornfontein 2028, South Africa

Abstract

The review revealed that both natural and engineered adsorbents could remove heavy metals from multicomponent systems. However, the competitive effects among heavy metal ions in the multicomponent system influences their individual uptake capacity.

Publisher

Royal Society of Chemistry (RSC)

Subject

General Chemical Engineering,General Chemistry

Link

http://pubs.rsc.org/en/content/articlepdf/2023/RA/D3RA01660A

Reference204 articles.

1. Removal of heavy metals from water sources in the developing world using low-cost materials: A review

2. Ecofriendly remediation technologies for wastewater contaminated with heavy metals with special focus on using water hyacinth and black tea wastes: a review

3. Agronomic benefits of biochar as a soil amendment after its use as waste water filtration medium

4. Understanding mechanisms in the adsorption of lead and copper ions on chili seed waste in single and multicomponent systems: a combined experimental and computational study

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