2022
DOI: 10.1016/j.chroma.2022.463189
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Optimization of enantiomer separation in flow-modulated comprehensive two-dimensional gas chromatography by response surface methodology coupled to artificial neural networks: Wine analysis case study

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Cited by 14 publications
(5 citation statements)
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“…38 Commercial GC CSPs still play a major role in developing available analytical methods for significant chiral compounds. 40 Terpenoid enantiomers exhibit great difference in odor. Chandan et al 41 developed a simple and sensitive chiral GC method for terpenoid enantiomers with various commercial CD-based CSPs, including 2,3-disubstituted ethyl-and acetyl-CD, and permethylated CD.…”
Section: ■ Chromatographymentioning
confidence: 99%
See 1 more Smart Citation
“…38 Commercial GC CSPs still play a major role in developing available analytical methods for significant chiral compounds. 40 Terpenoid enantiomers exhibit great difference in odor. Chandan et al 41 developed a simple and sensitive chiral GC method for terpenoid enantiomers with various commercial CD-based CSPs, including 2,3-disubstituted ethyl-and acetyl-CD, and permethylated CD.…”
Section: ■ Chromatographymentioning
confidence: 99%
“…Commercial GC CSPs still play a major role in developing available analytical methods for significant chiral compounds . Terpenoid enantiomers exhibit great difference in odor.…”
Section: Chromatographymentioning
confidence: 99%
“…The outcomes of this study point to a generally similar content of naphthalene across all the samples data. The results obtained align with previous research findings ( Furdíková et al, 2019 ; Furdíková et al, 2020 ; Khvalbota et al, 2021 ; Machyňáková et al, 2021 ; Vyviurska et 2021 ; Vyviurska et al, 2022 ). Compounds such as ethyl octanoate, benzaldehyde, butyl ethyl succinate, β-phenethyl acetate, and sorbic acid were detected in all samples ( Table 2 S).…”
Section: Resultsmentioning
confidence: 99%
“…It can be used as a prognostic model. [31] Multivariate curve resolutionalternating least squares (MCR-ALS)…”
Section: Artificial Neural Network (Ann)mentioning
confidence: 99%