High-concentration COD wastewater treatment with simultaneous removal of nitrogen and phosphorus by a novel Candida tropicalis strain: Removal capability and mechanism.


Journal

Environmental research
ISSN: 1096-0953
Titre abrégé: Environ Res
Pays: Netherlands
ID NLM: 0147621

Informations de publication

Date de publication:
09 2022
Historique:
received: 27 12 2021
revised: 25 04 2022
accepted: 10 05 2022
pubmed: 26 5 2022
medline: 22 6 2022
entrez: 25 5 2022
Statut: ppublish

Résumé

Aerobic and anaerobic continuous stirred-tank reactor (CSTR), up-flow anaerobic sludge blanket (UASB) were set up and inoculated with newly isolated Candida tropicalis. Reactors were operated at high concentrations of chemical oxygen demand (COD) (8000 mg/L), the modified UASB expressed better COD removal rate simultaneously removal of nitrogen and phosphate than other two reactors. Notably, under both aerobic or anaerobic conditions, large amounts of organic acids and alcohol were generated. Transcriptomic analysis showed that carbon metabolism under anaerobic conditions shared the same pathway with aerobic conditions by regulating and inhibiting some functional genes. Experiments utilizing different carbon sources proved that our strain has excellent performances in utilizing organic materials, which were verified by transcriptomic analysis. Finally, the strain was applied to treat four types of sugar-containing wastewaters. Among them, our strain exerts the best removal capability of COD (90%), nitrogen (89%), and phosphate (82%) for brewery wastewater.

Identifiants

pubmed: 35613633
pii: S0013-9351(22)00798-8
doi: 10.1016/j.envres.2022.113471
pii:
doi:

Substances chimiques

Phosphates 0
Sewage 0
Waste Water 0
Phosphorus 27YLU75U4W
Carbon 7440-44-0
Nitrogen N762921K75

Types de publication

Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

113471

Informations de copyright

Copyright © 2022 Elsevier Inc. All rights reserved.

Auteurs

Yuzhe He (Y)

School of Environmental Science and Engineering, Sun Yat-sen University, Guangzhou, 510006, China.

Yaqi Zhang (Y)

School of Environmental Science and Engineering, Sun Yat-sen University, Guangzhou, 510006, China.

Tianyu Li (T)

School of Environmental Science and Engineering, Sun Yat-sen University, Guangzhou, 510006, China.

Xingxing Peng (X)

School of Environmental Science and Engineering, Sun Yat-sen University, Guangzhou, 510006, China; Guangdong Provincial Key Laboratory of Environmental Pollution Control and Remediation Technology, Sun Yat-sen University, Guangzhou, 510275, China. Electronic address: pengxx6@mail.sysu.edu.cn.

Xiaoshan Jia (X)

School of Environmental Science and Engineering, Sun Yat-sen University, Guangzhou, 510006, China; Guangdong Provincial Key Laboratory of Environmental Pollution Control and Remediation Technology, Sun Yat-sen University, Guangzhou, 510275, China. Electronic address: eesjxs@mail.sysu.edu.cn.

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Classifications MeSH