2022
DOI: 10.1016/j.microc.2021.106978
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Evaluation of the retention profile in flow-modulated comprehensive two-dimensional gas chromatography and independent component analysis of weathered heavy oils

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Cited by 8 publications
(5 citation statements)
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“…A 2.5 m × 0.10 mm-id restrictor capillary was employed to avoid excessive compound retention. 17 Helium was used as auxiliary gas at 25 mL min −1 . A modulation period of 3 s with 250 ms flush time was employed.…”
Section: Methodsmentioning
confidence: 99%
See 1 more Smart Citation
“…A 2.5 m × 0.10 mm-id restrictor capillary was employed to avoid excessive compound retention. 17 Helium was used as auxiliary gas at 25 mL min −1 . A modulation period of 3 s with 250 ms flush time was employed.…”
Section: Methodsmentioning
confidence: 99%
“…Thus, multivariate algorithms are advised to handle such data sets. 14,15 Chemometrics provides many interesting tools for multivariate data processing, including pattern recognition, 16,17 sample classication, 8,15 and regression methods. 18,19 Data input is vital for chemometric analyses.…”
Section: Introductionmentioning
confidence: 99%
“…Giardina et al [47] developed an accurate model for the design and operation of such a backflush or "reverse fill/flush" (RFF) modulator. Moreira de Oliveira et al [48] compared optimized forward-flush (FF) and RFF modulators and found the latter to perform best for C 20 + hydrocarbons.…”
Section: Progress In Flow Modulationmentioning
confidence: 99%
“…Moreira de Oliveira et al. [48] compared optimized forward‐flush (FF) and RFF modulators and found the latter to perform best for C 20 + hydrocarbons.…”
Section: Modulationmentioning
confidence: 99%
“…The growing use of comprehensive two-dimensional (2D) gas chromatography coupled with time-of-flight mass spectrometry (GC × GC-TOFMS) in fields such as forensics, metabolomics, petroleomics, and food analysis is due to the increased demand for a thorough characterization of the volatile and semivolatile profile of these complex samples. While GC × GC-TOFMS is a powerful technique, manual interpretation of its information-rich data can be onerous.…”
mentioning
confidence: 99%