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

IF 3.7 4区 医学 Q1 BIOCHEMICAL RESEARCH METHODS
Timon Käser, Stamatios Giannoukos, Renato Zenobi
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引用次数: 0

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 MS1measurements 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 MS2measurements supporting identification, albeit with limitations to separate between limonene andα-/β-pinene. For low-abundance features, the study highlights the challenges of false assignments in SESI-MS, even with MS2measurements. This was demonstrated in the case of aldehydes, which could not be reliably separated from isomeric ketones present in breath, leading to incorrect quantification.

在线呼气分析中识别和定量的挑战。
人类呼出气体中挥发性有机化合物(VOCs)的鉴定和定量由于其在医疗诊断、环境暴露评估和法医应用方面的潜在应用而引起了相当大的兴趣。二次电喷雾电离质谱法(SESI-MS)是一种能够检测数千种挥发性有机化合物的方法。然而,大多数使用SESI-MS进行呼吸分析的研究主要依赖于MS1测量来进行识别和量化,这很容易发生错配和错误。在这项研究中,我们针对几种已知存在于呼吸中的内源性化合物(C5至C10醛、柠檬烯和吡啶)。这些化合物在12名志愿者呼出的气体中进行了数天的测量和量化,使用了三种不同的采集方法:全扫描(FS)、靶向选择离子监测(t-SIM)和平行反应监测(PRM)。这些方法通过与外部标准的测量值进行比较来进行鉴定和定量。虽然柠檬烯和α-/β-蒎烯的分离存在局限性,但这三种方法都成功地鉴定和定量了人类呼出气体中的高丰度特征,如柠檬烯和吡啶,MS2测量支持鉴定。对于低丰度特征,该研究强调了在SESI-MS中错误分配的挑战,即使使用MS2测量。这在醛的情况下得到了证明,醛不能可靠地与呼吸中存在的异构体酮分离,导致不正确的定量。
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来源期刊
Journal of breath research
Journal of breath research BIOCHEMICAL RESEARCH METHODS-RESPIRATORY SYSTEM
CiteScore
7.60
自引率
21.10%
发文量
49
审稿时长
>12 weeks
期刊介绍: Journal of Breath Research is dedicated to all aspects of scientific breath research. The traditional focus is on analysis of volatile compounds and aerosols in exhaled breath for the investigation of exogenous exposures, metabolism, toxicology, health status and the diagnosis of disease and breath odours. The journal also welcomes other breath-related topics. Typical areas of interest include: Big laboratory instrumentation: describing new state-of-the-art analytical instrumentation capable of performing high-resolution discovery and targeted breath research; exploiting complex technologies drawn from other areas of biochemistry and genetics for breath research. Engineering solutions: developing new breath sampling technologies for condensate and aerosols, for chemical and optical sensors, for extraction and sample preparation methods, for automation and standardization, and for multiplex analyses to preserve the breath matrix and facilitating analytical throughput. Measure exhaled constituents (e.g. CO2, acetone, isoprene) as markers of human presence or mitigate such contaminants in enclosed environments. Human and animal in vivo studies: decoding the ''breath exposome'', implementing exposure and intervention studies, performing cross-sectional and case-control research, assaying immune and inflammatory response, and testing mammalian host response to infections and exogenous exposures to develop information directly applicable to systems biology. Studying inhalation toxicology; inhaled breath as a source of internal dose; resultant blood, breath and urinary biomarkers linked to inhalation pathway. Cellular and molecular level in vitro studies. Clinical, pharmacological and forensic applications. Mathematical, statistical and graphical data interpretation.
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