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Wang, Jingting, Huang, Diwen, Zheng, Decong, Shen, Fei, Zhang, Yifeng (2025) Selectively Quantify Toxic Pollutants in Water by Machine Learning Empowered Electrochemical Biosensors. Environmental Science & Technology, 59 (1). doi:10.1021/acs.est.4c09156

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Reference TypeJournal (article/letter/editorial)
TitleSelectively Quantify Toxic Pollutants in Water by Machine Learning Empowered Electrochemical Biosensors
JournalEnvironmental Science & Technology
AuthorsWang, JingtingAuthor
Huang, DiwenAuthor
Zheng, DecongAuthor
Shen, FeiAuthor
Zhang, YifengAuthor
Year2025 (January 14)Volume59
Issue1
PublisherAmerican Chemical Society (ACS)
DOIdoi:10.1021/acs.est.4c09156Search in ResearchGate
Generate Citation Formats
Mindat Ref. ID17961718Long-form Identifiermindat:1:5:17961718:8
GUID0
Full ReferenceWang, Jingting, Huang, Diwen, Zheng, Decong, Shen, Fei, Zhang, Yifeng (2025) Selectively Quantify Toxic Pollutants in Water by Machine Learning Empowered Electrochemical Biosensors. Environmental Science & Technology, 59 (1). doi:10.1021/acs.est.4c09156
Plain TextWang, Jingting, Huang, Diwen, Zheng, Decong, Shen, Fei, Zhang, Yifeng (2025) Selectively Quantify Toxic Pollutants in Water by Machine Learning Empowered Electrochemical Biosensors. Environmental Science & Technology, 59 (1). doi:10.1021/acs.est.4c09156
In(2025, January) Environmental Science & Technology Vol. 59 (1). American Chemical Society (ACS)

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