基于仿生嗅觉特征的黄酒产地判别研究

摘要

GC-flash electronic nose coupled with chemometric methods were used to discriminate yellow rice wine of different producing place.All data were treated by multivariate data processing based on principal component analysis（PCA） and discriminant factor analysis（DFA）.The results showed that in the discriminant model by PCA method,yellow rice wine samples from Shaoxing geographical origin,non-Shaoxing geographical origin composed of two relatively concentrated groups with borderline intersection,far away from the group assembled by those wine samples from places outside of Shaoxing;in the discriminant model by DFA method,yellow rice wine samples from Shaoxing geographical origin,non-Shaoxing geographical origin and places outside of Shaoxing were correctly classified.Accordingly,electronic nose combined with chemometric methods could be used to distinguish the producing place of yellow rice wine.%采用GC-Flash型电子鼻结合化学计量学方法对不同产地的黄酒进行区分判别。以主成分分析和判别因子分析法建立了产地判别模型。分析结果表明,在主成分分析判别模型中,绍兴原产地（地理标志）、非原产地（非地理标志）与绍兴以外地区的黄酒样品分别占据着不同位置;绍兴原产地和非原产地各自有较大的相对集中分布区间,存在一定的边缘交集,但是他们与绍兴以外地区的黄酒样品分界明显。判别因子法所建产地判别模型中,绍兴原产地、绍兴非原产地和绍兴以外地区的黄酒样品得到正确判别。研究表明,电子鼻结合化学计量学方法可较好地用于黄酒产地的判别。