Characterization of flavor frame in grape wines detected by HS-SPME-GC-MS coupled with HPLC, electronic nose, and electronic tongue

Xia Fan, L. Pan, Rongshun Chen
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Abstract

To analyze the flavor components in 17 commercially available wine samples from seven grape varieties (Cabernet Sauvignon, Cabernet Gernischt, Shiraz, Merlot, Pinot Noir, Tempranillo and Chardonnay), comprehensive flavor characterization, volatile and non-volatile compounds of grape wines were evaluated by headspace solid phase micro-extraction (HS-SPME) coupled with gas chromatography-mass spectrometry (GC-MS), electronic nose (E-nose), electronic tongue (E-tongue), high performance liquid chromatography (HPLC) and automatic amino acids analyzer. According to GC-MS analysis, a total of 86 volatile compounds were identified, mainly including alcohols, esters, phenols, terpenes and norisoprenoids. Results showed that significant differences of contents of free amino acids and radar fingerprint chart of E-tongue technology were recorded for the 17 grape wines. Moreover, principal component analysis (PCA) of E-nose and E-tongue were used to distinguish the different grape wines effectively, with the cumulative contribution rate accounting for 92.33% and 91.78%, respectively. The results prove that sensors W2S and W1W in the E-nose for wines have a higher influence in the current pattern file. The most abundant phenol in 17 wine samples is catechin. The differences in species and contents of volatile and non-volatile substances give the unique flavor of different grape wines. The results demonstrated that the above mentioned equipment are useful for in-depth grape wine flavor analysis.
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HPLC、电子鼻、电子舌联合HPLC检测葡萄酒风味框架的研究
为分析7个葡萄品种(赤霞珠、德国赤霞珠、设拉子、梅洛、黑皮诺、丹魄和霞多丽)的17种市售葡萄酒样品的风味成分,采用顶空固相微萃取(HS-SPME)、气相色谱-质谱联用(GC-MS)、电子鼻(E-nose)、电子舌(E-tongue)、气相色谱-质谱联用(GC-MS)技术对葡萄酒的风味特征、挥发性和非挥发性成分进行了综合评价。高效液相色谱(HPLC)和全自动氨基酸分析仪。经GC-MS分析,共鉴定出86种挥发性化合物,主要包括醇类、酯类、酚类、萜烯类和异戊二烯类。结果表明,17种葡萄酒的游离氨基酸含量和电子舌技术的雷达指纹图谱存在显著差异。此外,利用电子鼻和电子舌的主成分分析(PCA)可以有效区分不同的葡萄酒,累积贡献率分别为92.33%和91.78%。结果表明,葡萄酒电子鼻中的传感器W2S和W1W对当前模式文件的影响较大。17种葡萄酒样品中含量最多的酚是儿茶素。挥发性和非挥发性物质的种类和含量的不同,赋予了不同葡萄酒独特的风味。结果表明,上述设备对深入分析葡萄酒风味具有实用价值。
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