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Breath Analysis by a GC/MS Coupled to a Gas Sensor Detector

机译:通过与气体传感器检测器耦合的GC / MS进行呼吸分析

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A peculiar experimental configuration of a gas chromatograph (GC) coupled, by a splitter, to two detectors, i.e. a mass spectrometer (MS) and a semiconducting gas sensor (SGS), operating in dual mode, was arranged. A suitable breath sampling system was used to sample the alveolar air volume in a bag from the air volume of a single expiration by discarding the dead volume. Breath volatiles (VOCs) were isolated and preconcentrated by solid-phase microextraction (SPME). Breath tests on alveolar air sampled by a sample of smokers volunteers were carried out. Statistical analysis techniques (descriptive statistics, Mann-Whitney test, PCA, Probit nonlinear regression model) applied to GC-MS data and sensor data showed good results in discriminating the subset of smokers sampled in resting condition ("blank" smokers) and after the action of smoking a cigarette.
机译:设置了一种气相色谱仪(GC)的特殊实验配置,该气相色谱仪(GC)通过分离器连接到两个检测器,即质谱仪(MS)和半导体气体传感器(SGS),以双模式运行。通过丢弃死体积,使用合适的呼吸采样系统从单个呼气的空气体积中采样袋子中的肺泡空气体积。分离出呼吸挥发物(VOC),并通过固相微萃取(SPME)进行预浓缩。对吸烟志愿者进行的肺泡空气呼吸测试进行了测试。应用于GC-MS数据和传感器数据的统计分析技术(描述性统计,Mann-Whitney检验,PCA,Probit非线性回归模型)显示出很好的结果,可以区分处于静止状态的吸烟者(“空白”吸烟者)和之后的吸烟者。抽烟的行为。

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