A quick test method for predicting the adsorption of organic micropollutants on activated carbon.


Journal

Water research
ISSN: 1879-2448
Titre abrégé: Water Res
Pays: England
ID NLM: 0105072

Informations de publication

Date de publication:
01 Nov 2022
Historique:
received: 20 08 2022
revised: 30 09 2022
accepted: 05 10 2022
pubmed: 19 10 2022
medline: 15 11 2022
entrez: 18 10 2022
Statut: ppublish

Résumé

Controlling the contamination of water cycles with organic micropollutants (OMPs) has been targeted in many regions. Adsorption with activated carbon is an effective technology to remove OMPs from different water matrices. To efficiently design or operate the adsorption process, the adsorption of OMPs should be properly assessed, usually with time-consuming batch adsorption tests and sophisticated analyses. In this study, a quick adsorption test method has been developed by loading powdered activated carbon (PAC) into a syringe filter which can be used subsequently to filtrate the water sample in short time (<60 s). Treated wastewater was applied to compare the quick test method and conventional batch test regarding the adsorption of 14 frequently detected OMPs, the abatement of UV

Identifiants

pubmed: 36257157
pii: S0043-1354(22)01162-9
doi: 10.1016/j.watres.2022.119217
pii:
doi:

Substances chimiques

Charcoal 16291-96-6
Water Pollutants, Chemical 0
Waste Water 0
Powders 0
Water 059QF0KO0R

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

119217

Informations de copyright

Copyright © 2022. Published by Elsevier Ltd.

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.

Auteurs

Qiqi Zhang (Q)

School of Environmental Science and Engineering, Nanjing Tech University, Nanjing, PR China.

Martin Jekel (M)

Technische Universität Berlin, Water Quality Control, Straße des 17. Juni 135, 10623 Berlin, Germany.

Yongjun Zhang (Y)

School of Environmental Science and Engineering, Nanjing Tech University, Nanjing, PR China. Electronic address: y.zhang@njtech.edu.cn.

Aki Sebastian Ruhl (AS)

Technische Universität Berlin, Water Quality Control, Straße des 17. Juni 135, 10623 Berlin, Germany; German Environment Agency (UBA), Schichauweg 58, 12307 Berlin, Germany. Electronic address: akisebastian.ruhl@uba.de.

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Classifications MeSH