Geographical characterization of wines from seven regions of China by chemical composition combined with chemometrics: Quality characteristics of Chinese ‘Marselan’ wines

This study investigated the basic and functional compositions, volatile compounds, intelligent sensory characteristics and antioxidant capacity of the commercial ‘Marselan’ wines from seven Chinese regions. The Nei Mongol wines featured high total reducing sugar, fructose, ammonia nitrogen, 17 monom...

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Veröffentlicht in:Food Chemistry: X 2024-10, Vol.23, p.101606, Article 101606
Hauptverfasser: Wang, Yue, Li, Caihong, Ge, Qian, Huo, Xingsan, Ma, Tingting, Fang, Yulin, Sun, Xiangyu
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Sprache:eng
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Zusammenfassung:This study investigated the basic and functional compositions, volatile compounds, intelligent sensory characteristics and antioxidant capacity of the commercial ‘Marselan’ wines from seven Chinese regions. The Nei Mongol wines featured high total reducing sugar, fructose, ammonia nitrogen, 17 monomeric phenolic acids contents and elevated antioxidant capacity. Malic acid was the only organic acid that significantly different in all seven regions. Malvidin-3-O-glucoside and trans-peonidin-3-O-(6-O-p-coumaryl)-glucoside showed the highest and lowest contents. A total of 102 volatiles was detected and Hebei wines had the most (91). Hexanoic acid and β-damascenone were considered to have high potential sensory effects (OAV ≥ 1) as compounds detected in all regions. Floral, sweet, and fruity were the most important aroma series. E-eye analysis revealed the colors of the samples tended to yellowish with aging. PCA and OPLS-DA based on the basic wine composition, monomeric organic acids and anthocyanins allowed achieving a discrimination of the seven regions, respectively. •Quality characteristics differed in Marselan wines from the seven regions in China.•β-Damascenone and ionone were two compounds in Marselan wines that had high OAVs.•Floral, sweet, and fruity are the strongest aroma series of Marselan wines.•There were differences in the profiles of the e-nose between the seven regions.•The models based on several parameters can clearly distinguish the regions.
ISSN:2590-1575
2590-1575
DOI:10.1016/j.fochx.2024.101606