Interpretable Machine Learning and Reactomics Assisted Isotopically Labeled FT-ICR-MS for Exploring the Reactivity and Transformation of Natural Organic Matter during Ultraviolet Photolysis

已完结 10 由中中中中中发布于 2025/10/14 10:24:30

DOI:10.1021/acs.est.3c05213
作者：Dhimas Dwinandha,?Mohamed Elsamadony,?Rongjun Gao,?Qing-Long Fu,?Jibao Liu* and Manabu Fujii*,?
文献类型：期刊论文
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American Chemical Society (ACS)

Abstract：Isotopically labeled FT-ICR-MS combined with multiple post-analyses, including interpretable machine learning (IML) and a paired mass distance (PMD) network, was employed to unravel the reac

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