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采用数据可视化技术开发一种干红葡萄酒的光谱指纹图谱,用于不同类别干红葡萄酒的鉴别。实验采集我国河北沙城和昌黎两个产区的干红葡萄酒样品,酒样在酿造年份、品种和陈酿方式上有差异。葡萄酒样品经反相C18柱分馏得到9个馏分,低压旋转浓缩至干后,再用与分馏样品等量的模拟酒溶解。随后,葡萄酒及其分馏样品经UV-Visible分析,收集190～1 100nm波段的光谱吸收值,利用可视化技术处理数据得到供试酒样的光谱指纹图谱。最后,采用高效液相色谱-二极管阵列检测器(HPLC-DAD),在指纹图谱差异明显的波段选择检测波长,定性分析葡萄酒和馏分中的单体酚及其衍生物。结果显示,供试干红葡萄酒样品光谱特征的差异在190～600nm。不同品种干红葡萄酒的光谱数据可视化结果差异不大,但不同年份酒样有明显的区别,主要集中在520nm的波段,不同产地葡萄酒的差异主要体现在F8馏分上,不同陈酿方式葡萄酒的可视化特征几乎涵盖整个可视化波段。HPLC-DAD在280,313,365和520nm波长下定性分析结果揭示了对光谱指纹图谱的特征有影响的单体酚及其衍生物。研究结果表明,采用可视化技术设计的葡萄酒光谱指纹图谱可以区分不同年份、产地和陈酿方式的干红葡萄酒产品。
A data visualization technique was used to develop a spectral fingerprint of dry red wine for the identification of different categories of dry red wine. The samples of dry red wine in two producing areas of Shacheng and Changli in Hebei Province of China were collected experimentally. There were differences in wine-making year, varieties and aging methods. The wine samples were fractionated by reversed-phase C18 column to obtain nine fractions. After low-pressure rotation and concentration to dryness, the simulated wines were dissolved in the same amount as the fractionated samples. Subsequently, the wine and its fractionated samples were analyzed by UV-Visible to collect the spectral absorbance of 190 ~ 100nm band, the use of visualization technology to process the data to obtain the spectral fingerprint of the test wine sample. Finally, HPLC-DAD was used to qualitatively analyze the monomeric phenols and their derivatives in wine and fractions by selecting the detection wavelength in the band with obvious difference of fingerprint. The results showed that the difference between the spectral characteristics of dried red wine samples tested was 190 ~ 600nm. There was no significant difference in the visualization results of different varieties of dry red wine, but different wine samples in different years had obvious differences, mainly concentrated in the band of 520 nm. The differences of wine in different producing areas were mainly reflected in the F8 fractions. The visual characteristics of different aging wines Almost cover the entire visualization band. Qualitative analysis of the HPLC-DAD at wavelengths of 280, 313, 365 and 520 nm revealed monomeric phenols and their derivatives that had an impact on the characteristics of spectral fingerprinting. The results show that the spectral fingerprint of wine designed by visualization technology can distinguish the dry red wine products of different years, regions of origin and aging.