Understanding Rejection Mechanisms of Trace Organic Contaminants by Polyamide Membranes via Data-Knowledge Codriven Machine Learning-Reference-Cited by-同舟云学术

Understanding Rejection Mechanisms of Trace Organic Contaminants by Polyamide Membranes via Data-Knowledge Codriven Machine Learning

Published:2024-03-18 Issue:13 Volume:58 Page:5878-5888
ISSN:0013-936X
Container-title:Environmental Science & Technology
language:en
Short-container-title:Environ. Sci. Technol.

Author:

Wang Hejia¹,Zeng Jin²,Dai Ruobin¹^ORCID,Wang Zhiwei¹^ORCID

Affiliation:

1. State Key Laboratory of Pollution Control and Resource Reuse, Shanghai Institute of Pollution Control and Ecological Security, School of Environmental Science and Engineering, Tongji University, Shanghai 200092, China

2. School of Software Engineering, Tongji University, Shanghai 201804, China

Funder

State Key Laboratory of Pollution Control and Resource Reuse

National Natural Science Foundation of China

Publisher

American Chemical Society (ACS)

Link

https://pubs.acs.org/doi/pdf/10.1021/acs.est.3c08523

Reference57 articles.

1. Ecotoxicology of human pharmaceuticals

2. Rejection of organic micropollutants (disinfection by-products, endocrine disrupting compounds, and pharmaceutically active compounds) by NF/RO membranes

3. A review on environmental isotope analysis of aquatic micropollutants: Recent advances, pitfalls and perspectives

4. The Challenge of Micropollutants in Aquatic Systems

5. Endocrine disrupting pesticides: Implications for risk assessment

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