Literature DB >> 29395161

Surface fitting for calculating the second dimension retention index in comprehensive two-dimensional gas chromatography mass spectrometry.

Md Aminul Islam Prodhan1, Xinmin Yin1, Seongho Kim2, Craig McClain3, Xiang Zhang4.   

Abstract

Comprehensive two-dimensional gas chromatography mass spectrometry (GC × GC-MS) has been widely used for analysis of volatile compounds. However, the second dimension retention index (I) of each compound is not widely used to aid compound identification owing to the limited accuracy of I calculation. We report a surface fitting approach to the calculation of I using n-alkanes (C7-C30) as references, where the second dimension retention time (2tR) and the second dimension column temperature (2Te) formed the X-Y plane and the I was the Z-axis to form the I surface. Compared to the conventional approach for calculating I using isovolatility curves, the surface fitting approach eliminated the construction of isovolatility curves for the reference compounds and gives better reproducibility. The goodness of the proposed surface fitting achieved R2 = 0.9999 and RMSE = 6.1 retention index units (iu). Ten-fold cross validation demonstrated the surface fitting approach had a good predictability with average R2 = 0.9999 and RMSE = 6.6 iu. The developed method was also applied to calculate the second dimension retention indices of compound standards in two commercial mixtures MegaMix A and MegaMix B. The mean standard deviation of the calculated I was only 1.6 iu for compounds in MegaMix A and 3.4 iu for compounds in MegaMix B. Compared with the literature results, the small value of standard deviation in the calculated retention index using surface fitting method shows that the surface fitting method has less measurement variability than the conventional isovolatility curve approach.
Copyright © 2018 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  GC × GC–MS; Retention index calculation; Second dimension retention index; Surface fitting

Mesh:

Substances:

Year:  2018        PMID: 29395161      PMCID: PMC5826898          DOI: 10.1016/j.chroma.2018.01.049

Source DB:  PubMed          Journal:  J Chromatogr A        ISSN: 0021-9673            Impact factor:   4.759


  16 in total

Review 1.  Comprehensive two-dimensional gas chromatography: a hyphenated method with strong coupling between the two dimensions.

Authors:  J B Phillips; J Beens
Journal:  J Chromatogr A       Date:  1999-09-24       Impact factor: 4.759

2.  Methods for generating second dimension retention index data in comprehensive two-dimensional gas chromatography.

Authors:  Robert J Western; Philip J Marriott
Journal:  J Chromatogr A       Date:  2003-11-26       Impact factor: 4.759

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Review 4.  Mass spectrometry-based technologies for high-throughput metabolomics.

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Authors:  Yaping Zhao; Jun Zhang; Bing Wang; Seong Ho Kim; Aiqin Fang; Bogdan Bogdanov; Zhanxiang Zhou; Craig McClain; Xiang Zhang
Journal:  J Chromatogr A       Date:  2011-03-04       Impact factor: 4.759

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Authors:  M Adahchour; J Beens; U A Th Brinkman
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Authors:  Carin von Mühlen; Philip J Marriott
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8.  Comparison of GC-MS and GC×GC-MS in the analysis of human serum samples for biomarker discovery.

Authors:  Jason H Winnike; Xiaoli Wei; Kevin J Knagge; Steven D Colman; Simon G Gregory; Xiang Zhang
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9.  Hepatic and fecal metabolomic analysis of the effects of Lactobacillus rhamnosus GG on alcoholic fatty liver disease in mice.

Authors:  Xue Shi; Xiaoli Wei; Xinmin Yin; Yuhua Wang; Min Zhang; Cuiqing Zhao; Haiyang Zhao; Craig J McClain; Wenke Feng; Xiang Zhang
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10.  Dual-injection system with multiple injections for determining bidimensional retention indexes in comprehensive two-dimensional gas chromatography.

Authors:  Stefan Bieri; Philip J Marriott
Journal:  Anal Chem       Date:  2008-01-05       Impact factor: 6.986

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1.  Integrating comprehensive two-dimensional gas chromatography mass spectrometry and parallel two-dimensional liquid chromatography mass spectrometry for untargeted metabolomics.

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2.  Comprehensive Two-Dimensional Gas Chromatography Mass Spectrometry-Based Metabolomics.

Authors:  Md Aminul Islam Prodhan; Craig McClain; Xiang Zhang
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