Department of Anaesthesia and Intensive Care, University Medical Center Rostock , Schillingallee 35, 18057 Rostock, Germany.
Anal Chem. 2013 Nov 5;85(21):10321-9. doi: 10.1021/ac402298v. Epub 2013 Oct 7.
Analysis of volatile organic compounds (VOCs) in breath holds great promise for noninvasive diagnostic applications. However, concentrations of VOCs in breath may change quickly, and actual and previous uptakes of exogenous substances, especially in the clinical environment, represent crucial issues. We therefore adapted proton-transfer-reaction-time-of-flight-mass spectrometry for real time breath analysis in the clinical environment. For reasons of medical safety, a 6 m long heated silcosteel transfer line connected to a sterile mouth piece was used for breath sampling from spontaneously breathing volunteers and mechanically ventilated patients. A time resolution of 200 ms was applied. Breath from mechanically ventilated patients was analyzed immediately after cardiac surgery. Breath from 32 members of staff was analyzed in the post anesthetic care unit (PACU). In parallel, room air was measured continuously over 7 days. Detection limits for breath-resolved real time measurements were in the high pptV/low ppbV range. Assignment of signals to alveolar or inspiratory phases was done automatically by a matlab-based algorithm. Quickly and abruptly occurring changes of patients' clinical status could be monitored in terms of breath-to-breath variations of VOC (e.g. isoprene) concentrations. In the PACU, room air concentrations mirrored occupancy. Exhaled concentrations of sevoflurane strongly depended on background concentrations in all participants. In combination with an optimized inlet system, the high time and mass resolution of PTR-ToF-MS provides optimal conditions to trace quick changes of breath VOC profiles and to assess effects from the clinical environment.
分析呼出气中的挥发性有机化合物(VOCs)对于非侵入性诊断应用具有很大的前景。然而,呼出气中 VOC 的浓度可能会迅速变化,实际和先前摄入的外源性物质,特别是在临床环境中,是一个关键问题。因此,我们采用质子转移反应-飞行时间质谱法(PTR-ToF-MS)来进行临床环境中的实时呼出气分析。出于医疗安全的考虑,我们使用了一根 6 米长的加热硅钢传输线连接到无菌的吸嘴,用于从自主呼吸的志愿者和机械通气的患者中采集呼出气。时间分辨率为 200 毫秒。对接受心脏手术后的机械通气患者的呼出气进行了分析。对 32 名医护人员在麻醉后恢复室(PACU)中的呼出气进行了分析。同时,连续 7 天对室内空气进行了连续测量。呼吸分辨实时测量的检测限处于高 pptV/低 ppbV 范围内。通过基于 Matlab 的算法,自动将信号分配到肺泡或吸气相。可以根据 VOC(例如异戊二烯)浓度的呼气相变化,监测患者临床状态的快速和突然变化。在 PACU 中,室内空气浓度反映了占用情况。所有参与者的呼气中七氟醚浓度都强烈依赖于背景浓度。结合优化的进样系统,PTR-ToF-MS 的高时间和质量分辨率为追踪呼出气 VOC 谱的快速变化和评估临床环境的影响提供了最佳条件。