Machine learning to guide the use of plasma technology for antibiotic degradation-Reference-Cited by-同舟云学术

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Machine learning to guide the use of plasma technology for antibiotic degradation

Published:2024-12 Issue: Volume:480 Page:135787
ISSN:0304-3894
Container-title:Journal of Hazardous Materials
language:en
Short-container-title:Journal of Hazardous Materials

Author:

Xue Li,Jing Runyu,Zhong Nanya,Nie Xiaoyu,Du Yitong,Luo Jiesi,Huang Kama

Funder

National Natural Science Foundation of China

Sichuan Province Science and Technology Support Program

National College Students Innovation and Entrepreneurship Training Program

Publisher

Elsevier BV

Reference36 articles.

1. Antibiotics degradation by advanced oxidation process (AOPs): recent advances in ecotoxicity and antibiotic-resistance genes induction of degradation products;Li;Chemosphere,2022

2. The demand for new antibiotics: antimicrobial peptides, nanoparticles, and combinatorial therapies as future strategies in antibacterial agent design;León-Buitimea;Front Microbiol,2020

3. Multicomponent photocatalysts for synergic removal of antibiotics in aqueous media: a review;Nguyen;Environ Chem Lett,2022

4. Removal of antibiotics using polyethylenimine cross-linked nanofiltration membranes: relating membrane performance to surface charge characteristics;Zhao;Chem Eng J,2018

5. Insights into the fate and removal of antibiotics in engineered biological treatment systems: a critical review;Oberoi;Environ Sci Technol,2019

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