Literature DB >> 11791551

Objective data alignment and chemometric analysis of comprehensive two-dimensional separations with run-to-run peak shifting on both dimensions.

C G Fraga1, B J Prazen, R E Synovec.   

Abstract

Data from comprehensive two-dimensional (2-D) separation techniques, such as comprehensive 2-D gas chromatography (GC x GC), liquid chromatography/liquid chromatography (LC x LC) and liquid chromatography/ capillary electrophoresis (LC x CE) can be readily analyzed by various chemometric methods to increase chemical analysis capabilities. A retention time alignment, preprocessing method is presented that objectively corrects for run-to-run retention time variations on both separation dimensions of comprehensive 2-D separations prior to application of chemometric data analysis algorithms. The 2-D alignment method corrects for run-to-run shifting of a sample data matrix relative to a standard data matrix on both separation time axes in an independent, stepwise fashion. After 2-D alignment, the generalized rank annihilation method (GRAM) is successfully applied, substantiating the performance of the alignment method. The alignment method should have important implications, because most 2-D separation techniques exhibit, in the context of chemometric data analysis, considerable run-to-run retention time shifting on both dimensions. Even when there are only three to four points/peak, that is, with three to four separations on the second dimension (column 2) per peak width from the first dimension (column 1), the 2-D alignment coupled with GRAM provides dependable analyte peak identification capabilities and adequate quantitative precision for unresolved analyte peaks. Thus, the 2-D alignment algorithm is applicable to lower data density conditions, which broadens the scope of chemometric analysis to high-speed 2-D separations.

Year:  2001        PMID: 11791551     DOI: 10.1021/ac010656q

Source DB:  PubMed          Journal:  Anal Chem        ISSN: 0003-2700            Impact factor:   6.986


  19 in total

1.  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 2.  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

3.  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

4.  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

5.  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

6.  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

7.  Improving the quality of biomarker candidates in untargeted metabolomics via peak table-based alignment of comprehensive two-dimensional gas chromatography-mass spectrometry data.

Authors:  Heather D Bean; Jane E Hill; Jean-Marie D Dimandja
Journal:  J Chromatogr A       Date:  2015-03-07       Impact factor: 4.759

8.  A novel approach for nontargeted data analysis for metabolomics. Large-scale profiling of tomato fruit volatiles.

Authors:  Yury Tikunov; Arjen Lommen; C H Ric de Vos; Harrie A Verhoeven; Raoul J Bino; Robert D Hall; Arnaud G Bovy
Journal:  Plant Physiol       Date:  2005-11       Impact factor: 8.340

9.  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

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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