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在线呼吸分析中的识别与定量挑战。

Challenges in the identification and quantitation in on-line breath analysis.

作者信息

Käser Timon, Giannoukos Stamatios, Zenobi Renato

机构信息

Laboratory of Organic Chemistry, ETH Zürich, Vladimir-Prelog-Weg 3, 8093 Zürich, Switzerland.

出版信息

J Breath Res. 2025 Apr 23;19(3). doi: 10.1088/1752-7163/adc9da.

DOI:10.1088/1752-7163/adc9da
PMID:40194528
Abstract

The identification and quantitation of volatile organic compounds (VOCs) in exhaled human breath has attracted considerable interest due to its potential application in medical diagnostics, environmental exposure assessment, and forensic applications. Secondary electrospray ionization-mass spectrometry (SESI-MS) is a method capable of detecting thousands of VOCs. Nevertheless, most studies using SESI-MS for breath analysis have relied primarily on MSmeasurements for identifications and quantification, which are susceptible to misassignments and errors. In this study, we targeted several endogenous compounds (C5 to C10 aldehydes, limonene and pyridine), known to occur in breath. These compounds were measured and quantified in exhaled breath from 12 volunteers over several days using three different acquisition methods: full scan, targeted selected ion monitoring and parallel reaction monitoring. These methods were used for identification and quantification by comparing with measurements of external standards. High-abundance features such as limonene and pyridine were successfully identified and quantified in exhaled human breath with all three methods, with MSmeasurements supporting identification, albeit with limitations to separate between limonene and-/-pinene. For low-abundance features, the study highlights the challenges of false assignments in SESI-MS, even with MSmeasurements. This was demonstrated in the case of aldehydes, which could not be reliably separated from isomeric ketones present in breath, leading to incorrect quantification.

摘要

呼出气体中挥发性有机化合物(VOCs)的识别与定量分析因其在医学诊断、环境暴露评估及法医鉴定等方面的潜在应用价值而备受关注。二次电喷雾电离质谱法(SESI-MS)是一种能够检测数千种VOCs的方法。然而,大多数使用SESI-MS进行呼气分析的研究主要依赖质谱测量进行识别和定量,这容易出现错误归属和误差。在本研究中,我们针对几种已知存在于呼出气体中的内源性化合物(C5至C10醛类、柠檬烯和吡啶)展开研究。使用三种不同的采集方法,即全扫描、目标选择离子监测和平行反应监测,在数天内对12名志愿者呼出气体中的这些化合物进行了测量和定量分析。通过与外标测量结果进行比较,这些方法用于化合物的识别和定量。柠檬烯和吡啶等高丰度特征物在三种方法下均成功在呼出气体中被识别和定量,质谱测量为识别提供了支持,尽管在区分柠檬烯和α-蒎烯方面存在局限性。对于低丰度特征物,该研究凸显了即使有质谱测量辅助,SESI-MS中仍存在错误归属的挑战。这在醛类化合物的情况中得到了证明,醛类无法与呼出气体中存在的同分异构酮可靠分离,从而导致定量错误。

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