2011
DOI: 10.1016/j.chroma.2011.01.056
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Prediction of the physicochemical properties of gasoline by comprehensive two-dimensional gas chromatography and multivariate data processing

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Cited by 27 publications
(14 citation statements)
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“…The analyses were performed on a GCMS-QP2010 Plus gas chromatograph from Shimadzu, adapted to work as GC × GC-qMS with technology developed in our laboratory (13,(17)(18)(19)(20)(21). The home-made four-jet modulator was turned off to carry out conventional GC-qMS runs.…”
Section: Analysis Of the Essential Oilmentioning
confidence: 99%
“…The analyses were performed on a GCMS-QP2010 Plus gas chromatograph from Shimadzu, adapted to work as GC × GC-qMS with technology developed in our laboratory (13,(17)(18)(19)(20)(21). The home-made four-jet modulator was turned off to carry out conventional GC-qMS runs.…”
Section: Analysis Of the Essential Oilmentioning
confidence: 99%
“…De Godoy et al [57] used different chemometric strategies to predict by GC Â GC-FID analysis some physicochemical properties of gasoline FIGURE 9 GC Â GC-FID chromatograms for typical nonadulterated type C gasoline (A), test sample N1 (B) and test sample N2 (C). Data for 1 t R > 30.0 min not shown.…”
Section: Examples Of Applicationmentioning
confidence: 99%
“…Two-dimensional GC-GC and FID constitutes an additional possibility for second-order data generation, as reported for the quantitative analysis of essential oils in perfume using MCR-ALS (171), and for gasoline analyses using N-PLS (172,173).…”
Section: Second-order Multivariate Calibration Examplesmentioning
confidence: 99%