葡萄酒香气可视化指纹图谱构建方法  

A Method to Build Wine Aroma Visual Fingerprints

作　　者：陶永胜[1] 文彦[1] 

机构地区：[1]西北农林科技大学葡萄酒学院,陕西杨凌712100

出　　处：《农业机械学报》2013年第12期174-179,220,共7页Transactions of the Chinese Society for Agricultural Machinery

基　　金：国家自然科学基金资助项目(31000756);'十二五'国家科技支撑计划资助项目(2012BAD31B07)

摘　　要：以我国5个主要葡萄酒产区霞多丽(Chardonnay)干白葡萄酒为实验对象,研究分析了葡萄酒中的香气成分,利用可视化方法发掘其香气指纹特征,实现对供试酒样的产区辨别。实验酒样的香气成分通过固相微萃取技术(SPME)偶联GC-MS定性定量分析,计算检出成分的气味活性值(OAV),香气成分数据经标准化处理后,投影到灰度空间,以二维灰度图直观表达香气数据的特征信息。研究结果表明,该法表达了不同产区供试酒样的香气特征差异信息明显,尤其是OAV的可视化图谱可作为葡萄酒的指纹图谱,直观表达供试酒样不同产区的香气指纹特征。This experiment was conducted on Chardonnay dry white wines from five districts of China. In order to discriminate the different wines in terms of geographical origins, a visualization method was proposed to mining the chemical information of aromatic data. Solid-phase micro-extraction （SPME） followed by GC -MS technique was used to qualify and quantify volatile compounds in sample wines, and od,or active values （OAV） of analytes were calculated and redefined. By the algorithm of gray-scale maps, the standardized data matrices were translated into visual aroma fingerprints of sample wines. The results showed that the gray-scale maps corresponding to redefined OAV were better to distinguish Chardonnay dry white wines from different regions visually and easily.

关 键 词：葡萄酒 霞多丽 气味活性值 可视化指纹图谱 

分 类 号：TS262.6[轻工技术与工程—发酵工程]