Quantitative analysis of target components by comprehensive two-dimensional gas chromatography
Quantitative analysis of target components by comprehensive two-dimensional gas chromatography
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DOI：
10.1016/j.chroma.2003.08.101
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发表时间：
2003-11-26
影响因子：
4.1
通讯作者：
van Asten, AC
中科院分区：
文献类型：
--
作者：
van Mispelaar, VG;Tas, AC;van Asten, AC
使用全面的二维（2D）气相色谱（GC）定量分析仍然很少报道。这主要是因为缺乏合适的软件。本研究的目的是从一个大的GC x GC数据集，包括32个色谱图产生定量结果。在这一数据集中，需要量化六个目标组成部分。我们比较传统的集成与使用所谓的“多路分析方法”获得的结果。在准确度和精密度方面，积分的表现略好于平行因子（PARAFAC）分析。在速度和自动化的可能性方面，多路方法通常远优于传统的集成上级。(C)2003 Elsevier B.V.保留所有权利。
Quantitative analysis using comprehensive two-dimensional (2D) gas chromatography (GC) is still rarely reported. This is largely due to a lack of suitable software. The objective of the present study is to generate quantitative results from a large GC x GC data set, consisting of 32 chromatograms. In this data set, six target components need to be quantified. We compare the results of conventional integration with those obtained using so-called "multiway analysis methods". With regard to accuracy and precision, integration performs slightly better than Parallel Factor (PARAFAC) analysis. In terms of speed and possibilities for automation, multiway methods in general are far superior to traditional integration. (C) 2003 Elsevier B.V. All rights reserved.