Welthagen W, Schnelle-Kreis J, Zimmermann R
Institute of Ecological Chemistry, GSF-Research Centre, Ingolstädter Landstrasse 1, D-85764 Oberschleissheim, Germany.
J Chromatogr A. 2003 Nov 26;1019(1-2):233-49. doi: 10.1016/j.chroma.2003.08.053.
Direct thermal desorption-gas chromatography-time-of-flight mass spectrometry (DTD-GC-TOFMS) and comprehensive two-dimensional (2D) gas chromatography-time-of-flight mass spectrometry (GC x GC-TOFMS) was applied for characterisation of semi-volatile organic compounds (SVOC) in fine particulate matter (PM), with a diameter of up to 2.5 microm (PM2.5), from ambient air in Augsburg, Germany. DTD-GC-TOFMS measurements on the SVOC in PM2.5 are done on a daily basis (time series over several years). The data will be used in an epidemiological study questioning the influence of SVOC in PM2.5 on ambient aerosol related health effects. The outcome of the first measurements periods is that the organic inventory in the ambient aerosol can undergo drastic fluctuations, e.g. due to meteorological influences or specific emission sources. This includes also the large fraction of chromatographically not resolved peaks (unresolved carbonaceous matter (UCM)). The UCM fraction contains about 70% of the SVOC mass in PM2.5. GC x GC-TOFMS is a suited technique to study the nature of the yet unidentified compounds forming the UCM. The considerably increased chromatographic resolution in GC x GC allows separation of many UCM compounds while the TOFMS supplies mass spectral data of all separated compounds. However, the data sets are getting enormously complex. In a typical PM2.5 sample from Augsburg more than 15,000 peaks can be detected. Thus, it is important to classify the observed GC x GC peaks by rational means. A classification procedure based on GC x GC retention times and the fragmentation patterns is suggested. With a preliminary classification procedure it is already possible to group compounds with some certainty into substance classes. After some further development, this approach can be used for classifying GC x GC data, e.g. for environmental and epidemiological studies.
采用直接热脱附-气相色谱-飞行时间质谱(DTD-GC-TOFMS)和全二维(2D)气相色谱-飞行时间质谱(GC×GC-TOFMS)对德国奥格斯堡市环境空气中直径达2.5微米的细颗粒物(PM2.5)中的半挥发性有机化合物(SVOC)进行表征。对PM2.5中的SVOC进行的DTD-GC-TOFMS测量是每天进行一次(数年的时间序列)。这些数据将用于一项流行病学研究,该研究质疑PM2.5中的SVOC对环境气溶胶相关健康影响的作用。首个测量阶段的结果是,环境气溶胶中的有机成分可能会经历剧烈波动,例如由于气象影响或特定排放源。这也包括很大一部分色谱上未分离的峰(未分辨碳质物质(UCM))。UCM部分包含了PM2.5中约70%的SVOC质量。GC×GC-TOFMS是研究构成UCM的尚未鉴定化合物性质的合适技术。GC×GC中显著提高的色谱分辨率能够分离许多UCM化合物,而TOFMS则提供所有分离化合物的质谱数据。然而,数据集变得极其复杂。在一个来自奥格斯堡的典型PM2.5样品中,可以检测到超过15000个峰。因此,通过合理的方法对观察到的GC×GC峰进行分类很重要。提出了一种基于GC×GC保留时间和碎片模式的分类程序。通过初步的分类程序,已经能够在一定程度上确定地将化合物归类到物质类别中。经过进一步发展,这种方法可用于对GC×GC数据进行分类,例如用于环境和流行病学研究。