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Updated: May 25, 2025

Identifying Per- and Polyfluorinated Chemical Species with a Combined Targeted and Non-Targeted-Screening High-Resolution Mass Spectrometry Workflow
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Identifying Per- and Polyfluorinated Chemical Species with a Combined Targeted and Non-Targeted-Screening High-Resolution Mass Spectrometry Workflow

Published on: April 18, 2019

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IodoFinder:在非目标LC-MS/MS分析中以机器学习为指导识别含化学品

Tingting Zhao1, Qiming Shen2, Xing-Fang Li2

  • 1Department of Chemistry, Faculty of Science, University of British Columbia, Vancouver Campus, 2036 Main Mall, Vancouver, British Columbia V6T 1Z1, Canada.

Environmental science & technology
|February 27, 2025
PubMed
概括

本研究介绍了IodoFinder,这是一种机器学习工具,可以使用质谱测量来识别有毒的化消毒副产品 (I-DBPs). 它可以在正和负电离模式中准确检测这些化合物,改善环境和健康风险评估.

关键词:
显露体 显露体 显露体分裂模式的碎片化模式.高分辨率质谱测量高分辨率质谱酸化合物 酸化合物 是一种含有的化合物.化消毒的副产品 化消毒的副产品机器学习是机器学习.没有针对性的分析.

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