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

Journal:
Environmental Science and Technology
Published:
DOI:
10.1021/acs.est.5c08536
Affiliations:
4
Authors:
11
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Institutions Authors Share
Jiangsu University (JSU), China
7.500000
 0.68
Cranfield University, United Kingdom (UK)
1.500000
 0.14
State Key Laboratory of Environmental Chemistry and Ecotoxicology (SKLECE), RCEES CAS, China
1.000000
 0.09
Jianghan University, China
1.000000
 0.09
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