Literature DB >> 14650601

Quantitative analysis of target components by comprehensive two-dimensional gas chromatography.

Valentijn G van Mispelaar1, Albert C Tas, Age K Smilde, Peter J Schoenmakers, Arian C van Asten.   

Abstract

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.

Mesh:

Year:  2003        PMID: 14650601     DOI: 10.1016/j.chroma.2003.08.101

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


  16 in total

Review 1.  Exploiting new systems-based strategies to elucidate plant-bacterial interactions in the rhizosphere.

Authors:  P D Kiely; J M Haynes; C H Higgins; A Franks; G L Mark; J P Morrissey; F O'Gara
Journal:  Microb Ecol       Date:  2006-04-05       Impact factor: 4.552

2.  Comprehensive two-dimensional gas chromatography/time-of-flight mass spectrometry peak sorting algorithm.

Authors:  Cheolhwan Oh; Xiaodong Huang; Fred E Regnier; Charles Buck; Xiang Zhang
Journal:  J Chromatogr A       Date:  2007-12-03       Impact factor: 4.759

Review 3.  Fast, comprehensive two-dimensional liquid chromatography.

Authors:  Dwight R Stoll; Xiaoping Li; Xiaoli Wang; Peter W Carr; Sarah E G Porter; Sarah C Rutan
Journal:  J Chromatogr A       Date:  2007-08-30       Impact factor: 4.759

4.  DISCO: distance and spectrum correlation optimization alignment for two-dimensional gas chromatography time-of-flight mass spectrometry-based metabolomics.

Authors:  Bing Wang; Aiqin Fang; John Heim; Bogdan Bogdanov; Scott Pugh; Mark Libardoni; Xiang Zhang
Journal:  Anal Chem       Date:  2010-06-15       Impact factor: 6.986

5.  An optimal peak alignment for comprehensive two-dimensional gas chromatography mass spectrometry using mixture similarity measure.

Authors:  Seongho Kim; Aiqin Fang; Bing Wang; Jaesik Jeong; Xiang Zhang
Journal:  Bioinformatics       Date:  2011-04-14       Impact factor: 6.937

6.  Semi-automated alignment and quantification of peaks using parallel factor analysis for comprehensive two-dimensional liquid chromatography-diode array detector data sets.

Authors:  Robert C Allen; Sarah C Rutan
Journal:  Anal Chim Acta       Date:  2012-02-19       Impact factor: 6.558

7.  MetPP: a computational platform for comprehensive two-dimensional gas chromatography time-of-flight mass spectrometry-based metabolomics.

Authors:  Xiaoli Wei; Xue Shi; Imhoi Koo; Seongho Kim; Robin H Schmidt; Gavin E Arteel; Walter H Watson; Craig McClain; Xiang Zhang
Journal:  Bioinformatics       Date:  2013-05-11       Impact factor: 6.937

8.  Investigation of interpolation techniques for the reconstruction of the first dimension of comprehensive two-dimensional liquid chromatography-diode array detector data.

Authors:  Robert C Allen; Sarah C Rutan
Journal:  Anal Chim Acta       Date:  2011-06-23       Impact factor: 6.558

9.  Coherent Point Drift Peak Alignment Algorithms Using Distance and Similarity Measures for Two-Dimensional Gas Chromatography Mass Spectrometry Data.

Authors:  Zeyu Li; Seongho Kim; Sikai Zhong; Zichun Zhong; Ikuko Kato; Xiang Zhang
Journal:  J Chemom       Date:  2020-03-28       Impact factor: 2.467

10.  Global peak alignment for comprehensive two-dimensional gas chromatography mass spectrometry using point matching algorithms.

Authors:  Beichuan Deng; Seongho Kim; Hengguang Li; Elisabeth Heath; Xiang Zhang
Journal:  J Bioinform Comput Biol       Date:  2016-09-09       Impact factor: 1.122

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