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Advances in Nontargeted Analysis of Per-and Polyfluoroalkyl Substances Based on High-Resolution Mass Spectrometry AITranslate

State Key Laboratory of Environmental Chemistry and Ecotoxicology;State Key Laboratory of Environmental Chemistry and Ecotoxicology;State Key Laboratory of Environmental Chemistry and Ecotoxicology;State Key Laboratory of Environmental Chemistry and Ecotoxicology;State Key Laboratory of Environmental Chemistry and Ecotoxicology;State Key Laboratory of Environmental Chemistry and Ecotoxicology
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Publisher: Youke Publish Co., Ltd.
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Abstract AITranslate

The escalating diversity of per-and polyfluoroalkyl substances(PFAS),arising from both intentional synthesis and inadvertent generation and release,has led to increasingly complex environmental PFAS compositions.In recent years,unknown PFAS have been frequently identified in the environment.However,the structural diversity and lack of corresponding reference standards pose significant challenges for the detection and identification of PFAS.Traditional targeted screening methods are often inadequate for detecting these compounds,making nontargeted analysis(NTA)using high-resolution mass spectrometry(HRMS)essential for identifying unknown or suspected contaminants.Nevertheless,existing NTA techniques still face limitations in comprehensively characterizing the full spectrum of PFAS in the environment.Continuous optimization and development of sample preparation methods,instrumental analytical techniques,data processing algorithms,and software are gradually expanding the coverage of NTA for diverse PFAS.This review summarizes recent advances in HRMS-based NTA methodologies for PFAS,encompassing sample preparation,separation techniques,HRMS instrument and data acquisition modes,PFAS screening strategies,and NTA data processing approaches.Furthermore,the review discusses the current challenges and prospects of PFAS NTA,such as an in-depth exploration of gas chromatography-HRMS(GC-HRMS)applications in NTA,and the utilization of machine learning(ML)models for efficient processing of complex NTA datasets.Addressing these challenges will significantly enhance the accuracy and efficiency of PFAS identification in the environment,providing a scientific basis for the regulation and control of PFAS in the future.

KeyWords AITranslate

Per-and polyfluoroalkyl substances High-resolution mass spectrometry Nontargeted analysis Suspect screening Nontarget screening
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DOI:

Chinese Library Classification Number:X830[环境科学与工程];O657.63[环境科学与工程—环境工程]

Citation Information:

The escalating diversity of per-and polyfluoroalkyl substances(PFAS),arising from both intentional synthesis and inadvertent generation and release,has led to increasingly complex environmental PFAS compositions.In recent years,unknown PFAS have been frequently identified in the environment.However,the structural diversity and lack of corresponding reference standards pose significant challenges for the detection and identification of PFAS.Traditional targeted screening methods are often inadequate for detecting these compounds,making nontargeted analysis(NTA)using high-resolution mass spectrometry(HRMS)essential for identifying unknown or suspected contaminants.Nevertheless,existing NTA techniques still face limitations in comprehensively characterizing the full spectrum of PFAS in the environment.Continuous optimization and development of sample preparation methods,instrumental analytical techniques,data processing algorithms,and software are gradually expanding the coverage of NTA for diverse PFAS.This review summarizes recent advances in HRMS-based NTA methodologies for PFAS,encompassing sample preparation,separation techniques,HRMS instrument and data acquisition modes,PFAS screening strategies,and NTA data processing approaches.Furthermore,the review discusses the current challenges and prospects of PFAS NTA,such as an in-depth exploration of gas chromatography-HRMS(GC-HRMS)applications in NTA,and the utilization of machine learning(ML)models for efficient processing of complex NTA datasets.Addressing these challenges will significantly enhance the accuracy and efficiency of PFAS identification in the environment,providing a scientific basis for the regulation and control of PFAS in the future.

quote

GB/T 7714-2015 [1] Xinyu Wang, Feng Zhang, Xiaodong Wu, et al. Journal of Analysis and Testing, 2025(4): 457-481.
MLA [1] Xinyu Wang, et al., Journal of Analysis and Testing, no. 4, 2025, pp. 457-481.
APA [1] Xinyu Wang, Feng Zhang, Xiaodong Wu, Zhengquan Ji, Yali Shi, & Yaqi Cai. (2025). Journal of Analysis and Testing(4), 457-481.
IEEE [1] Xinyu Wang, Feng Zhang, Xiaodong Wu, Zhengquan Ji, Yali Shi, and Yaqi Cai, Journal of Analysis and Testing, no. 4, pp. 457-481, 2025.