A Method for the Detection of Hydrocarbon Pollution in Soils by Headspace Mass Spectrometry and Pattern Recognition Techniques

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• 作者：José ; Luis Pé ; rez Pavó ; n ; Miguel del Nogal Sá ; nchez ; Carmelo Garc&iacute ; a Pinto ; M. Esther Ferná ; ndez Laespada ; Bernardo Moreno Cordero ; and Armando Guerrero Peñ ; a
• 刊名：Analytical Chemistry
• 出版年：2003
• 出版时间：May 1, 2003
• 年：2003
• 卷：75
• 期：9
• 页码：2034 - 2041
• 全文大小：154K
• 年卷期：v.75,no.9(May 1, 2003)
• ISSN：1520-6882

文摘

In the present work, we report a methodology for the rapiddetection of soil pollution by hydrocarbons that is basedon direct coupling of a headspace sampler with a massspectrometer. With no prior treatment, the samples aresubjected to the headspace generation process and thevolatiles generated are introduced directly into the massspectrometer, thereby obtaining a fingerprint of the sampleanalyzed. The mass spectrum corresponding to the mass/charge ratios (m/z) ranging between 49 and 160 atomicmass units (amu) contains the information related to thecomposition of the headspace and is used as the analyticalsignal for the characterization of the samples. Chemometric treatments, such as hierarchical cluster analysis(HCA), linear discriminant analysis (LDA), and softindependent modeling class analogy (SIMCA) were usedto characterize the different types of samples analyzed.The main advantage of the proposed methodology is thatno prior chromatographic separation and no samplemanipulation are required. The method is rapid, simple,and in view of the results, highly suitable for detectingpollution in soils polluted by hydrocarbons.