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Updated: May 23, 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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基于机器学习的分类,以在非目标选中优先考虑具有结构警报的潜在危险化学品

Nienke Meekel1,2, Anneli Kruve3,4, Marja H Lamoree2

  • 1KWR Water Research Institute, P.O. Box 1072, Nieuwegein 3430 BB, The Netherlands.

Environmental science & technology
|March 7, 2025
PubMed
概括

一种新方法使用机器学习和质谱数据来识别环境样本中的潜在危险化学物质. 这种方法优先考虑非目标查的特征,改善了对有机微污染物的检测.

关键词:
机器学习是机器学习.质谱测量质谱测量质谱测量质谱测量质量测量质谱测量质量测量质量测量质量测量质量测量质量测量质量测量质量测量质量测量质量测量质量测量质量测量质量测量质量测量质量测量质量测量质量测量质量测量质量测量质量测量没有目标的查.确定优先级,确定优先级.结构性警报 结构性警报毒性的毒性 毒性的毒性

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