葡萄酒香气可视化指纹图谱构建方法

A Method to Build Wine Aroma Visual Fingerprints

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。

Abstract:

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 odor 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.