A review on agrowaste based activated carbons for pollutant removal in wastewater systems

Environmental pollution from chemicals utilized in manufacturing, pharmaceuticals, and chemical process industries is of serious concern nowadays due to the contamination that ensues when these chemicals are discharged into water bodies. Activated carbon adsorption provides an efficient and economic...

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Main Authors: Karinate Valentine Okiy, Joseph Nwabanne Tagbo, Walter Peter Echeng
Format: Article
Language:English
Published: Ural Federal University 2024-04-01
Series:Chimica Techno Acta
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Online Access:https://chimicatechnoacta.ru/article/view/7509
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author Karinate Valentine Okiy
Joseph Nwabanne Tagbo
Walter Peter Echeng
author_facet Karinate Valentine Okiy
Joseph Nwabanne Tagbo
Walter Peter Echeng
author_sort Karinate Valentine Okiy
collection DOAJ
description Environmental pollution from chemicals utilized in manufacturing, pharmaceuticals, and chemical process industries is of serious concern nowadays due to the contamination that ensues when these chemicals are discharged into water bodies. Activated carbon adsorption provides an efficient and economically viable means for mitigation of toxic chemicals (i.e., heavy metals, dyes, pharmaceutics, and antibiotics). However, the exorbitant cost of commercial activated carbons has resulted in the search for low-cost alternatives for the treatment of contaminated effluents. An exhaustive literature survey in this area is necessary to know the extent of work done in this area and seek out the gaps that future research will provide answers to. In this review, various works on activated carbon utilization, batch adsorption, fixed-bed adsorption (experimental and numerical studies) are summarized. This review elucidates the different kinetic and isotherm models of agrowastes-derived activated carbon materials in context with pollutants (dyes, heavy metals, pharmaceuticals, miscellaneous adsorbates) removal through batch and column methods. In addition, fixed-bed column adsorption/regeneration methods using various activated carbons derived from agrowastes are discussed. Among these methods, heavy metal adsorption from aqueous solutions by the activated carbons is the most efficient. The deployment of mathematical and machine learning approaches (ANN and novel GMDH algorithms) in optimization of batch and continuous adsorption processes are also highlighted. Numerical simulation of fixed-column adsorption systems for more improved industrial-scale column designs is described. Conclusions and future challenges of chemicals removal from polluted wastewater utilizing agrowaste-derived activated carbons are also presented.
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spelling doaj-art-b20f7a79e29e47809ead940b7e93cb912025-08-20T03:24:33ZengUral Federal UniversityChimica Techno Acta2411-14142024-04-0111210.15826/chimtech.2024.11.2.025268A review on agrowaste based activated carbons for pollutant removal in wastewater systemsKarinate Valentine Okiy0Joseph Nwabanne Tagbo1Walter Peter Echeng2Nnamdi Azikiwe UniversityNnamdi Azikiwe UniversityFederal Polytechnic NekedeEnvironmental pollution from chemicals utilized in manufacturing, pharmaceuticals, and chemical process industries is of serious concern nowadays due to the contamination that ensues when these chemicals are discharged into water bodies. Activated carbon adsorption provides an efficient and economically viable means for mitigation of toxic chemicals (i.e., heavy metals, dyes, pharmaceutics, and antibiotics). However, the exorbitant cost of commercial activated carbons has resulted in the search for low-cost alternatives for the treatment of contaminated effluents. An exhaustive literature survey in this area is necessary to know the extent of work done in this area and seek out the gaps that future research will provide answers to. In this review, various works on activated carbon utilization, batch adsorption, fixed-bed adsorption (experimental and numerical studies) are summarized. This review elucidates the different kinetic and isotherm models of agrowastes-derived activated carbon materials in context with pollutants (dyes, heavy metals, pharmaceuticals, miscellaneous adsorbates) removal through batch and column methods. In addition, fixed-bed column adsorption/regeneration methods using various activated carbons derived from agrowastes are discussed. Among these methods, heavy metal adsorption from aqueous solutions by the activated carbons is the most efficient. The deployment of mathematical and machine learning approaches (ANN and novel GMDH algorithms) in optimization of batch and continuous adsorption processes are also highlighted. Numerical simulation of fixed-column adsorption systems for more improved industrial-scale column designs is described. Conclusions and future challenges of chemicals removal from polluted wastewater utilizing agrowaste-derived activated carbons are also presented.https://chimicatechnoacta.ru/article/view/7509agrowastes-derived activated carbonsisotherm modelsadsorption kineticsbatchfixed-column adsorption
spellingShingle Karinate Valentine Okiy
Joseph Nwabanne Tagbo
Walter Peter Echeng
A review on agrowaste based activated carbons for pollutant removal in wastewater systems
Chimica Techno Acta
agrowastes-derived activated carbons
isotherm models
adsorption kinetics
batch
fixed-column adsorption
title A review on agrowaste based activated carbons for pollutant removal in wastewater systems
title_full A review on agrowaste based activated carbons for pollutant removal in wastewater systems
title_fullStr A review on agrowaste based activated carbons for pollutant removal in wastewater systems
title_full_unstemmed A review on agrowaste based activated carbons for pollutant removal in wastewater systems
title_short A review on agrowaste based activated carbons for pollutant removal in wastewater systems
title_sort review on agrowaste based activated carbons for pollutant removal in wastewater systems
topic agrowastes-derived activated carbons
isotherm models
adsorption kinetics
batch
fixed-column adsorption
url https://chimicatechnoacta.ru/article/view/7509
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