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一种基于热脱附气相色谱-质谱和离子淌度谱联用的新型呼吸分析耦合技术。

A novel coupling technique based on thermal desorption gas chromatography with mass spectrometry and ion mobility spectrometry for breath analysis.

机构信息

Laboratory of Applied Instrumental Analytical Chemistry, Hamm-Lippstadt University of Applied Sciences, Hamm, Germany.

Faculty of Chemistry, Instrumental Analytical Chemistry, University of Duisburg-Essen, Essen, Germany.

出版信息

J Breath Res. 2023 Dec 27;18(1). doi: 10.1088/1752-7163/ad1615.

Abstract

Exhaled breath analysis is evolving into an increasingly important non-invasive diagnostic tool. Volatile organic compounds (VOCs) in breath contain information about health status and are promising biomarkers for several diseases, including respiratory infections caused by bacteria. To monitor the composition of VOCs in breath or the emission of VOCs from bacteria, sensitive analytical techniques are required. Next to mass spectrometry, ion mobility spectrometry (IMS) is considered a promising analytical tool for detecting gaseous analytes in the parts per billion by volume to parts per trillion by volume range. This work presents a new, dual coupling of thermal desorption gas chromatography to a quadrupole mass spectrometer (MS) and an IMS by operating a simple splitter. Nearly identical retention times can be reached in the range of up to 30 min with slight deviations of 0.06 min-0.24 min. This enables the identification of unknown compounds in the IMS chromatogram using unambiguous mass spectral identification, as there are still no commercially available databases for IMS. It is also possible to discriminate one of the detectors using the splitter to improve detection limits. Using a test liquid mixture of seven ketones, namely 2-butanone, 2-pentanone, 2-hexanone, 2-heptanone, 2-octanone, 2-nonanone, and 2-decanone with a concentration of 0.01 g lreproducibilities ranging from 3.0% to 7.6% for MS and 2.2%-5.3%, for IMS were obtained, respectively. In order to test the system optimized here for the field of breath analysis, characteristic VOCs such as ethanol, isoprene, acetone, 2-propanol, and 1-propanol were successfully identified in exhaled air using the dual detector system due to the match of the corresponding IMS, and MS spectra. The presented results may be considered to be a starting point for the greater use of IMS in combination with MS within the medical field.

摘要

呼气分析正在发展成为一种越来越重要的非侵入性诊断工具。呼吸中的挥发性有机化合物 (VOCs) 包含有关健康状况的信息,并且是几种疾病的有前途的生物标志物,包括由细菌引起的呼吸道感染。为了监测呼吸中 VOCs 的组成或 VOCs 从细菌中的排放,需要使用灵敏的分析技术。除了质谱之外,离子迁移谱 (IMS) 也被认为是一种很有前途的分析工具,可用于检测体积分数为十亿分之几到万亿分之几的气态分析物。这项工作提出了一种新的方法,通过操作简单的分流器将热解吸气相色谱与四极杆质谱 (MS) 和 IMS 进行双重耦合。在长达 30 分钟的范围内,几乎可以达到相同的保留时间,偏差仅为 0.06 分钟至 0.24 分钟。这使得可以使用明确的质谱识别来识别 IMS 色谱图中的未知化合物,因为目前还没有用于 IMS 的商业数据库。也可以使用分流器来区分其中一个检测器,以提高检测限。使用七种酮的测试液体混合物,即 2-丁酮、2-戊酮、2-己酮、2-庚酮、2-辛酮、2-壬酮和 2-癸酮,浓度为 0.01g/L,MS 的重现性为 3.0%至 7.6%,而 IMS 的重现性分别为 2.2%-5.3%。为了测试这里针对呼吸分析领域优化的系统,由于相应的 IMS 和 MS 谱的匹配,成功地在呼出空气中识别出特征 VOCs,如乙醇、异戊二烯、丙酮、2-丙醇和 1-丙醇。所呈现的结果可以被认为是在医疗领域中更大程度地使用 IMS 与 MS 相结合的起点。

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