van Mispelaar Valentijn G, Tas Albert C, Smilde Age K, Schoenmakers Peter J, van Asten Arian C
TNO Nutrition and Food Research, PO Box 360, 3700 AJ Zeist, The Netherlands.
J Chromatogr A. 2003 Nov 26;1019(1-2):15-29. doi: 10.1016/j.chroma.2003.08.101.
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.
使用全二维气相色谱（GC）进行定量分析的报道仍然很少。这主要是由于缺乏合适的软件。本研究的目的是从一个由32个色谱图组成的大型GC×GC数据集中生成定量结果。在这个数据集中，需要对六种目标成分进行定量。我们将传统积分的结果与使用所谓“多向分析方法”获得的结果进行了比较。在准确性和精密度方面，积分的表现略优于平行因子（PARAFAC）分析。在速度和自动化可能性方面，多向方法总体上远远优于传统积分。
