Monitoring, assessment, and prediction of microbial shifts in coupled catalysis and biodegradation of 1,4-dioxane and co-contaminants.
Bioremediation
Deterministic process
Machine learning
Metagenome
Predictive functions
Synergistic treatments
Journal
Water research
ISSN: 1879-2448
Titre abrégé: Water Res
Pays: England
ID NLM: 0105072
Informations de publication
Date de publication:
15 Apr 2020
15 Apr 2020
Historique:
received:
01
10
2019
revised:
24
12
2019
accepted:
22
01
2020
pubmed:
6
2
2020
medline:
9
4
2020
entrez:
5
2
2020
Statut:
ppublish
Résumé
Microbial community dynamics were characterized following combined catalysis and biodegradation treatment trains for mixtures of 1,4-dioxane and chlorinated volatile organic compounds (CVOCs) in laboratory microcosms. Although a few specific bacterial taxa are capable of removing 1,4-dioxane and individual CVOCs, many microorganisms are inhibited when these contaminants are present in mixtures. Chemical catalysis by tungstated zirconia (WO
Identifiants
pubmed: 32018172
pii: S0043-1354(20)30076-2
doi: 10.1016/j.watres.2020.115540
pii:
doi:
Substances chimiques
Dioxanes
0
Water Pollutants, Chemical
0
Hydrogen Peroxide
BBX060AN9V
1,4-dioxane
J8A3S10O7S
Types de publication
Journal Article
Langues
eng
Sous-ensembles de citation
IM
Pagination
115540Informations de copyright
Copyright © 2020 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.