A review on the lignocellulosic derived biochar-based catalyst in wastewater remediation: Advanced treatment technologies and machine learning tools.
Adsorption
Advanced oxidation process
Biochar-based catalyst
Machine learning algorithm
Wastewater contamination
Journal
Bioresource technology
ISSN: 1873-2976
Titre abrégé: Bioresour Technol
Pays: England
ID NLM: 9889523
Informations de publication
Date de publication:
Nov 2023
Nov 2023
Historique:
received:
30
06
2023
revised:
25
07
2023
accepted:
27
07
2023
medline:
11
9
2023
pubmed:
8
8
2023
entrez:
7
8
2023
Statut:
ppublish
Résumé
Wastewater disposal in the ecosystem affects aquatic and human life, which necessitates the removal of the contaminants. Eliminating wastewater contaminants using biochar produced through the thermal decomposition of lignocellulosic biomass (LCB) is sustainable. Due to its high specific surface area, porous structure, oxygen functional groups, and low cost, biochar has emerged as an alternate contender in catalysis. Various innovative advanced technologies were combined with biochar for effective wastewater treatment. This review examines the use of LCB for the synthesis of biochar along with its activation methods. It also elaborates on using advanced biochar-based technologies in wastewater treatment and the mechanism for forming oxidizing species. The research also highlights the use of machine learning in pollutant removal and identifies the obstacles of biochar-based catalysts in both real-time and cutting-edge technologies. Probable and restrictions for further exploration are discussed.
Identifiants
pubmed: 37549718
pii: S0960-8524(23)01015-5
doi: 10.1016/j.biortech.2023.129587
pii:
doi:
Substances chimiques
Wastewater
0
biochar
0
lignocellulose
11132-73-3
Charcoal
16291-96-6
Water Pollutants, Chemical
0
Types de publication
Journal Article
Review
Langues
eng
Sous-ensembles de citation
IM
Pagination
129587Informations de copyright
Copyright © 2023 Elsevier Ltd. All rights reserved.
Déclaration de conflit d'intérêts
Declaration of Competing Interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.