电子鼻和GC-MS用于检测葡萄酒香味特征成分识别

aroma characterization of petit manseng wines using sensory consensus training, spme gc-ms, and electronic nose analysis
电子鼻和gc-ms用于检测葡萄酒香味特征成分识别
denise m. gardner, susan e. duncan,and bruce w. zoecklein*
abstract:the aromas of four virginia petit manseng wines were evaluated using sensory consensus training methods, and results were compared to those of solid-phase microextraction gas chromatography-mass spectrometry (gc-ms) and conducting polymer electronic nose (cyranose 320) analysis of volatile compounds. five sensory training sessions were conducted to enhance aroma identification, evaluate aroma intensity, and teach evaluation techniques to a panel of 13 individuals. ten aroma descriptors were determined to describe the commercial wines: pear, peachy, floral, melon, exotic fruits, estery, vanilla, citrus, and honey. the four wines differed significantly (p < 0.05) in citrus fruit aroma intensities. the descriptor terms generated in this study differed from terms associated with petit manseng wine produced in france. gc-ms analysis showed differences in 30 volatile compounds detected and analyzed in the wines. nine of these compounds had odor activity values greater than 1.0, and may have contributed to the aroma of the petit manseng wines. a canonical plot of the enose evaluations found significant differences, depicted by the 95% confidence interval ellipses and group mean, in the volatile composition of the four wines, consistent with gc-ms analysis.
采用感官一致性训练法对四种弗吉尼亚小曼生葡萄酒的香气进行了评价,并与固相微萃取气相色谱-质谱(gc-ms)和电子鼻(cyranose 320)分析挥发性化合物的结果进行了比较。进行了五次感官培训,以加强香气鉴定,评估香气强度,并向13个人的小组教授评价技术。我们确定了十种香气描述符来描述商用葡萄酒:梨、桃子、花卉、甜瓜、异国水果、酯类、香草、柑橘和蜂蜜。四种葡萄酒的柑橘类水果香气强度差异显著(p<0.05)。本研究中产生的描述词不同于法国生产的小曼生葡萄酒。气相色谱-质谱分析表明,在葡萄酒中检测和分析的30种挥发性化合物存在差异。其中九种化合物的气味活性值大于1.0,可能是造成小曼生葡萄酒香气的原因。用95%置信区间椭圆和组平均值表示,四种葡萄酒挥发性成分的标准enose评估图发现了显著差异,与gc-ms分析一致。

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