MSThunder: A deep learning-based nontargeted analytical framework for the accurate and rapid identification of unknown organic pollutants in water

MSThunder: A deep learning-based nontargeted analytical framework for the accurate and rapid identification of unknown organic pollutants in water

Nontargeted analysis (NTA) has emerged as a crucial technology for identifying unknown organic pollutants in water. However, current NTA methods commonly omit or misjudge the pollutants due to the low-accuracy and efficiency in the structural prediction of mass spectrometry. Here, we developed a nov...

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Bibliographic Details
Main Authors: Quanzhen Liu, Pan Chen, Qingwei Bu, Yize Sun, Zhengchao Chen, Xiong Xu, Donghong Wang
Format: Article
Language:English
Published: KeAi Communications Co., Ltd. 2025-01-01
Series:Environmental Chemistry and Ecotoxicology
Subjects:
Nontargeted analysis
Structural prediction
Transformer
Unknown pollutants
Hazard assessment
Online Access:http://www.sciencedirect.com/science/article/pii/S2590182625001171
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http://www.sciencedirect.com/science/article/pii/S2590182625001171

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