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首页> 外文期刊>Journal of chromatography, B. Analytical technologies in the biomedical and life sciences >Characterization of aroma compounds of Chinese famous liquors by gas chromatography-mass spectrometry and flash GC electronic-nose
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Characterization of aroma compounds of Chinese famous liquors by gas chromatography-mass spectrometry and flash GC electronic-nose

机译:气相色谱-质谱和快速GC电子鼻表征中国名酒的香气化合物

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Aroma composition of five Chinese premium famous liquors with different origins and liquor flavor types was characterized by gas chromatography-mass spectrometry (GC-MS) and flash gas chromato- graphic electronic nose system. Eighty-six aroma compounds were identified, including 5 acids, 34 esters, 10 alcohols, 9 aldehydes, 4 ketones, 4 phenols, and 10 nitrous and sulfuric compounds. To investigate possible correlation between aroma compounds identified by GC-MS and sensory attributes, multivari- ate ANOVA-PLSR (APLSR) was performed. It turned out that there were 30 volatile composition, ethyl acetate, ethyl propanoate, ethyl 2-methyl butanoate, ethyl 3-methyl butanoate, ethyl lactate, ethyl ben- zenacetate, 3-methylbutyl acetate, hexyl acetate, 3-methyl-1-butanol, 1-heptanol, phenylethyl alcohol, acetaldehyde, 1,1-diethoxy-3-methyl butane, furfural, benzaldehyde, 5-methyl-2-furanal, 2-octanone, 2-n-butyl furan, dimethyl trisulfied and 2,6-dimethyl pyrazine, ethyl nonanoate, isopentyl hexanoate, octanoic acid, ethyl 5-methyl hexanoate, 2-phenylethyl acetate,ethyl oleate, propyl hexanoate, butanoic acid and phenol, ethyl benzenepropanoate, which showed good coordination with Chinese liquor characteristics. The multivariate structure of this electronic nose responses was then processed by principal component analysis (PCA) and hierarchical cluster analysis (HCA). According to the obtained results, GC-MS and electronic nose can be used for the differentiation of the liquor origins and flavor types.
机译:通过气相色谱-质谱(GC-MS)和闪式气相色谱电子鼻系统对五种不同来源和口味类型的中国名优白酒的香气成分进行了表征。鉴定出86种香气化合物,包括5种酸,34种酯,10种醇,9种醛,4种酮,4种酚和10种含氮和含硫化合物。为了研究GC-MS鉴定的香气化合物与感官属性之间的可能相关性,我们进行了多元ANOVA-PLSR(APLSR)研究。结果表明,存在30种挥发性成分,乙酸乙酯,丙酸乙酯,2-甲基丁酸乙酯,3-甲基丁酸乙酯,乳酸乙酯,苯甲酸乙酯,乙酸3-甲基丁酯,乙酸己酯,3-甲基-1-丁醇,1-庚醇,苯乙醇,乙醛,1,1-二乙氧基-3-甲基丁烷,糠醛,苯甲醛,5-甲基-2-呋喃醛,2-辛酮,2-正丁基呋喃,二甲基三硫和2, 6-二甲基吡嗪,壬酸乙酯,己酸异戊基酯,辛酸,5-甲基己酸乙酯,2-苯基乙基乙酸酯,油酸乙酯,己酸丙酯,丁酸和苯酚,苯丙酸乙酯显示了与中国白酒特征的良好配位。然后通过主成分分析(PCA)和层次聚类分析(HCA)处理此电子鼻响应的多元结构。根据获得的结果,GC-MS和电子鼻可用于区分酒的来源和风味类型。

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