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选择离子流动管:一种用于空气和呼出气体定量痕量气体分析的技术。

Selected ion flow tube: a technique for quantitative trace gas analysis of air and breath.

作者信息

Spanĕl P, Smith D

机构信息

Department of Biomedical Engineering and Medical Physics, Hospital Centre, University of Keele, Stoke-on-Trent, Staffs, UK.

出版信息

Med Biol Eng Comput. 1996 Nov;34(6):409-19. doi: 10.1007/BF02523843.

Abstract

The selected ion flow tube (SIFT) technique for trace gas analysis of air and breath is based on soft chemical ionisation of the trace gases to the exclusion of the major air and breath gases, in fast-flowing inert carrier gas, exploiting the ion-molecule reactions that occur between the trace gases and the pre selected precursor ions (H3O+, NO+ and O2+). The physics and ion chemistry involved in the SIFT technique are described, as are the kinetics of the ion-molecule reactions that are exploited to quantitatively analyse the trace gases. Fast on-line data-acquisition hardware and software have been developed to analyse the mass spectra obtained, from which partial pressures of the trace gases down to about 10 parts per billion can be measured. The time response of the instrument is 20 ms, allowing the profiles of the trace gas concentrations on breath to be obtained during a normal breathing cycle. Pilot results obtained with this SIFT technique include detection and quantification of the most abundant breath trace gases, analysis of cigarette smoke, detection of gases present on smokers' breath and accurate measurement of the partial pressures of NH3, NO and NO2 in air. The simultaneous analysis of several breath trace gases during a single exhalation is clearly demonstrated, and thus different elution times for isoprene and methanol along the respiratory tract are observed. This technique has great potential in many clinical and biological disciplines, and in health and safety monitoring.

摘要

用于空气和呼吸痕量气体分析的选择离子流动管(SIFT)技术基于在快速流动的惰性载气中对痕量气体进行软化学电离,同时排除主要的空气和呼吸气体,利用痕量气体与预先选定的前驱离子(H3O+、NO+和O2+)之间发生的离子-分子反应。文中描述了SIFT技术所涉及的物理和离子化学,以及用于定量分析痕量气体的离子-分子反应动力学。已开发出快速在线数据采集硬件和软件来分析所获得的质谱,由此可测量低至约十亿分之十的痕量气体分压。该仪器的时间响应为20毫秒,能够在正常呼吸周期内获取呼吸中痕量气体浓度的分布情况。用这种SIFT技术获得的初步结果包括检测和定量分析最丰富的呼吸痕量气体、分析香烟烟雾、检测吸烟者呼出气体中的气体以及准确测量空气中NH3、NO和NO2的分压。清晰展示了在一次呼气过程中对多种呼吸痕量气体的同时分析,从而观察到异戊二烯和甲醇在呼吸道中的不同洗脱时间。该技术在许多临床和生物学学科以及健康与安全监测方面具有巨大潜力。

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