2020
DOI: 10.1016/j.foodchem.2019.125340
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Chemical typicality of South American red wines classified according to their volatile and phenolic compounds using multivariate analysis

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Cited by 36 publications
(19 citation statements)
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“…The electron ionisation energy of the mass selective detector was 70 eV. The quantification of each volatile compound was done with the use of 2‐octanol as internal standard (Sevindik et al., 2020; Valentin et al., 2020). The aroma components were identified by comparing MS spectra of volatile compounds with those of Nist11 library, and/or comparing their Kovats retention index (RI) with those reported in the literature (Chang et al., 2020; Valentin et al., 2020).…”
Section: Methodsmentioning
confidence: 99%
“…The electron ionisation energy of the mass selective detector was 70 eV. The quantification of each volatile compound was done with the use of 2‐octanol as internal standard (Sevindik et al., 2020; Valentin et al., 2020). The aroma components were identified by comparing MS spectra of volatile compounds with those of Nist11 library, and/or comparing their Kovats retention index (RI) with those reported in the literature (Chang et al., 2020; Valentin et al., 2020).…”
Section: Methodsmentioning
confidence: 99%
“…Often, typicality assessments are combined to sensory descriptive and physico-chemical analyses [22,23]. Different studies have investigated the chemical compounds, volatile and non-volatile, responsible for typical sensorial attributes of a number of relevant wine categories [19,[28][29][30]. However, these compounds are not exclusive to one single grape variety, but their transformation during winemaking and the subsequent interactions with other compounds will contribute to the wine identity [31,32].…”
Section: Introductionmentioning
confidence: 99%
“…The analysis of volatile aroma compounds in wine varietal characterization and differentiation studies is commonly performed by conventional one-dimensional gas chromatography mass spectrometry (GC-MS) [14][15][16][17][18][19]. Although the information obtained by this approach is often sufficient to obtain more or less efficient varietal differentiation, a large amount of information is lost due to frequent co-elutions, even when using long GC run times on high-efficiency capillary columns with selective stationary phases and programmed oven temperature conditions [20,21].…”
Section: Introductionmentioning
confidence: 99%