2012
DOI: 10.1016/j.chroma.2012.05.012
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Qualitative and quantitative approaches in comprehensive two-dimensional gas chromatography

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Cited by 94 publications
(47 citation statements)
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References 132 publications
(159 reference statements)
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“…A multivariate regression technique such as partial least squares (PLS) allows for all possible ratios of all of the thousands of peaks in a GC Â GC chromatogram to be considered in a single algorithm. PLS regression has been in use in chemical analysis for decades and has been successfully applied to GC Â GC data (de Godoy et al, 2011;Geladi and Kowalski, 1986;Johnson et al, 2004;Murray, 2012;Pierce and Mohler, 2011;Prazen et al, 2001;Wold et al, 1984). Utilizing the whole chromatogram in this manner is the best means to analyze for trends without imposing presuppositions about what chromatographic peaks may or may not be important.…”
Section: Introductionmentioning
confidence: 98%
“…A multivariate regression technique such as partial least squares (PLS) allows for all possible ratios of all of the thousands of peaks in a GC Â GC chromatogram to be considered in a single algorithm. PLS regression has been in use in chemical analysis for decades and has been successfully applied to GC Â GC data (de Godoy et al, 2011;Geladi and Kowalski, 1986;Johnson et al, 2004;Murray, 2012;Pierce and Mohler, 2011;Prazen et al, 2001;Wold et al, 1984). Utilizing the whole chromatogram in this manner is the best means to analyze for trends without imposing presuppositions about what chromatographic peaks may or may not be important.…”
Section: Introductionmentioning
confidence: 98%
“…the profile of volatile organic compounds). The latter method is preferred because it disposes of several advantages: (I) enhanced peak capacity, (II) higher power signal/noise ratio, and thus resolution, and (III) obtaining of 'structured' chromatograms (Murray 2012). GCxGC was successfully employed for studying VOCs in different wines (Weldegergis et al 2011a).…”
mentioning
confidence: 99%
“…Among them were enhanced control of selectivity, sample structure visualization, homolog grouping (group type separations), and sample finger-printing. Several recent reviews have described these advantages [7][8][9]. However, the expectation [1,2,5,6,[10][11][12][13][14][15] and the theoretically proven possibility [3,4,16] of a large peak capacity increase was almost invariably considered as the most prominent potential advantage of GC × GC.…”
Section: Introductionmentioning
confidence: 99%