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光电离质谱技术及其在呼出气检测中的应用进展

李庆运 蒋吉春 陈平 蒋丹丹 李海洋 花磊

分析测试学报2025,Vol.44Issue(9):1741-1753,13.
分析测试学报2025,Vol.44Issue(9):1741-1753,13.DOI:10.12452/j.fxcsxb.250408266

光电离质谱技术及其在呼出气检测中的应用进展

Progress of Photoionization Mass Spectrometry and Its Application in Exhaled Breath Detection

李庆运 1蒋吉春 2陈平 2蒋丹丹 2李海洋 2花磊2

作者信息

  • 1. 中国科学院大连化学物理研究所,辽宁省质谱技术与仪器重点实验室,辽宁 大连 116023||PCAB呼吸与代谢研究中心,Breax实验室,北京 100000
  • 2. 中国科学院大连化学物理研究所,辽宁省质谱技术与仪器重点实验室,辽宁 大连 116023
  • 折叠

摘要

Abstract

Volatile organic compounds(VOCs)in human exhaled breath serve as end products of di-verse metabolic pathways,offering critical insights into the body's physiological and pathological states.The development of rapid analytical methods for small-molecule VOCs holds significant scientific val-ue and promising potential for noninvasive disease diagnosis.Direct inlet mass spectrometry(DIMS),owing to its high sensitivity,rapid analysis,and exceptional versatility,has emerged as a key tech-nique for high-throughput characterization of complex samples.Vacuum ultraviolet photoionization(VUV-PI),a core ionization technology for DIMS,exhibits distinct advantages,including high mo-lecular ion yield,minimal fragmentation,and broad operational pressure compatibility(from high vacuum to ambient conditions).Its ability to efficiently ionize compounds across a wide polarity range—from nonpolar to strongly polar species—makes it a powerful and versatile tool for mass spec-trometric detection.This article systematically reviews advancements in photoionization mass spec-trometry(PI-MS),covering critical components such as ionization sources,ion optics,and mass analyzers.Furthermore,it highlights recent progress in PI-MS-based exhaled breath analysis for dis-ease screening and discusses future perspectives in this rapidly evolving field.

关键词

飞行时间质谱/离子迁移谱/光电离/呼出气/挥发性有机物/疾病筛查

Key words

time-of-flight mass spectrometry/ion mobility spectrometry/photoionization/ex-haled breath/volatile organic compounds/disease screening

分类

化学化工

引用本文复制引用

李庆运,蒋吉春,陈平,蒋丹丹,李海洋,花磊..光电离质谱技术及其在呼出气检测中的应用进展[J].分析测试学报,2025,44(9):1741-1753,13.

基金项目

国家自然科学基金项目(22174142) (22174142)

辽宁省自然科学基金项目(2024-MSBA-54) (2024-MSBA-54)

大连市科技人才创新支持项目(2023RQ016,2024RY022) (2023RQ016,2024RY022)

分析测试学报

OA北大核心

1004-4957

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