CAJ | 학술논문

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190～1100 nm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190～600 nm。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520 nm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520 nm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。
채용수거가시화기술개발일충간홍포도주적광보지문도보，용우불동유별간홍포도주적감별。실험채집아국하북사성화창려량개산구적간홍포도주양품，주양재양조년빈、품충화진양방식상유차이。포도주양품경반상C18주분류득도9개류분，저압선전농축지간후，재용여분류양품등량적모의주용해。수후，포도주급기분류양품경UV-Visible분석，수집190～1100 nm파단적광보흡수치，이용가시화기술처리수거득도공시주양적광보지문도보。최후，채용고효액상색보-이겁관진렬검측기（HPLC-DAD），재지문도보차이명현적파단선택검측파장，정성분석포도주화류분중적단체분급기연생물。결과현시，공시간홍포도주양품광보특정적차이재190～600 nm。불동품충간홍포도주적광보수거가시화결과차이불대，단불동년빈주양유명현적구별，주요집중재520 nm적파단，불동산지포도주적차이주요체현재F8류분상，불동진양방식포도주적가시화특정궤호함개정개가시화파단。HPLC-DAD재280，313，365화520 nm파장하정성분석결과게시료대광보지문도보적특정유영향적단체분급기연생물。연구결과표명，채용가시화기술설계적포도주광보지문도보가이구분불동년빈、산지화진양방식적간홍포도주산품。
A novel spectral fingerprint to discriminate different dry red wines was built using data visualization method .Twelve red wines with different vintages ,cultivars and ageing methods from Changli and Shacheng were sampled .Nine fractions of each wine were collected with a reversed-phase C18 column ,and then they were lyophilized .The residue of each fraction was resolved with synthetic wine of the same volume with the fraction sample .The transmittance spectra of wines and their fractions were recorded from 190 to 1 100 nm . And the spectral data were visualized to show their visual differences directly .Mono-phenols in wine and frac-tions were analyzed by HPLC-DAD at wavelengths in the range where located the obvious differences of the spectral fingerprints .The results showed that the spectral differences of wine samples lied in the range of 190 to 600 nm .There were obvious differences in visual maps among wines with different vintages ,mainly around 520 nm .The visualization differences among wines with distinct geographical origins lay in the F 8 maps ,and the differences from the aging methods almost cover the whole wavelength range visualized .However ,wines from different grape cultivars had the similar visual characteristics .HPLC-DAD identified the possible mono-phenol groups for the spectral differences at 280 ,313 ,365 and 520 nm .It was concluded that the visualization of spectral data from 190 to 600 nm could be used to build red wine spectral fingerprint to distinguish dry red wines with different vintages ,origins ,and ageing methods .