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首页> 外文期刊>Journal of chromatography, A: Including electrophoresis and other separation methods >Automated compound classification for ambient aerosol sample separations using comprehensive two-dimensional gas chromatography-time-of-flight mass spectrometry
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Automated compound classification for ambient aerosol sample separations using comprehensive two-dimensional gas chromatography-time-of-flight mass spectrometry

机译:使用全面的二维气相色谱-飞行时间质谱对环境气溶胶样品分离进行自动化合物分类

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摘要

Comprehensive two-dimensional gas chromatography-time-of-flight mass spectrometry (GC x GC-TOF-MS) is useful in analyzing complex samples, such as the semi-volatile organic compounds (SVOC) in daily aerosol samples collected in Augsburg, Germany. For efficient routine analysis, a partial classification system based on mass spectra has been proposed to group compounds into substance classes. Classifiers based on fragmentation patterns, retention time, and spectral transformations are incorporated into software scripts for automated classification. Fragmentation pattern rules are also applied to an aerosol sample analyzed using direct thermal desorption (DTD)-GC x GC-TOF-MS and a non-traditional column combination. (C) 2007 Elsevier B.V. All rights reserved.
机译:全面的二维气相色谱-飞行时间质谱(GC x GC-TOF-MS)可用于分析复杂样品,例如在德国奥格斯堡收集的日常气溶胶样品中的半挥发性有机化合物(SVOC) 。为了进行有效的常规分析,已经提出了一种基于质谱的部分分类系统,可以将化合物分为物质类别。基于片段化模式,保留时间和光谱变换的分类器已合并到用于自动分类的软件脚本中。碎片模式规则也适用于使用直接热脱附(DTD)-GC x GC-TOF-MS和非传统色谱柱组合分析的气溶胶样品。 (C)2007 Elsevier B.V.保留所有权利。

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