Deciphering Microbe-Mediated Dissolved Organic Matter Reactome in Wastewater Treatment Plants Using Directed Paired Mass Distance-Reference-Cited by-同舟云学术

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Deciphering Microbe-Mediated Dissolved Organic Matter Reactome in Wastewater Treatment Plants Using Directed Paired Mass Distance

Published:2023-12-26 Issue:1 Volume:58 Page:739-750
ISSN:0013-936X
Container-title:Environmental Science & Technology
language:en
Short-container-title:Environ. Sci. Technol.

Author:

Wang Liye¹^ORCID,Lin Yuan¹^ORCID,Li Juechun¹,Yu Qingmiao¹²,Xu Ke¹,Ren Hongqiang¹^ORCID,Geng Jinju¹²^ORCID

Affiliation:

1. State Key Laboratory of Pollution Control and Resource Reuse, School of Environment, Nanjing University, Nanjing, Jiangsu 210023, P. R. China

2. Key Laboratory of the Three Gorges Reservoir Region’s Eco-Environment, Ministry of Education, Chongqing University, Chongqing 400044, P. R. China

Funder

China Postdoctoral Science Foundation

Natural Science Foundation of Jiangsu Province

National Natural Science Foundation of China

Publisher

American Chemical Society (ACS)

Subject

Environmental Chemistry,General Chemistry

Link

https://pubs.acs.org/doi/pdf/10.1021/acs.est.3c06871

Reference73 articles.

1. A new conceptual framework for the transformation of groundwater dissolved organic matter

2. Chemical and microbial diversity covary in fresh water to influence ecosystem functioning

3. Organic Matter Is a Mixture of Terrestrial, Autochthonous, and Wastewater Effluent in an Urban River

4. Municipal wastewater treatment in China: Development history and future perspectives

5. Characterization of dissolved organic matter in wastewater during aerobic, anaerobic, and anoxic treatment processes by molecular size and fluorescence analyses

Cited by 3 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Molecular Insights into the Transformation of Dissolved Organic Matter in a Full-Scale Wastewater Treatment Plant;ACS ES&T Water;2024-08-16

2. Disentangling drivers of mudflat intertidal DOM chemodiversity using ecological models;Nature Communications;2024-08-05

3. Machine Learning Models for Evaluating Biological Reactivity Within Molecular Fingerprints of Dissolved Organic Matter Over Time;Geophysical Research Letters;2024-06

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