Enabling Emergency Response to Arsenic Contamination: Simultaneous and Rapid Identification of Arsenic Speciation by a Machine Learning-Driven Fluorescent Sensor Array

发表于 2026-9-22 11:15:57

期刊：Environmental Science & Technology

文献作者：Dali Wei; Yunxiang Fan; Bohan Wu; Yuxuan Shen; Chunmeng Deng; Qiu Shen; Kun Zeng; Ligang Hu; Jingfu Liu; Zhugen Yang; Zhen Zhang

出版日期：2025-11-18

DOI号：10.1021/acs.est.5c08536

下载链接：https://pubs.acs.org/doi/pdf/10.1021/acs.est.5c08536

文献链接：https://doi.org/10.1021/acs.est.5c08536

当前文献来源于 American Chemical Society (ACS)。

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[ACS] Enabling Emergency Response to Arsenic Contamination: Simultaneous and Rapid Identification of Arsenic Speciation by a Machine Learning-Driven Fluorescent Sensor Array

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