运用仿生嗅觉特征判别同山烧酒龄  

Discrimination of the Age of Tongshan Durra Wine by Use of GC-flash Electronic Nose Technology

作　　者：彭祺[1] 王芳[1] 高芳艳[1] 边威[1] 吴坚[1] 范洋波[1] 郑云峰[1] 李博斌[1] 

机构地区：[1]国家黄酒产品质量监督检验中心,浙江绍兴312071

出　　处：《酿酒科技》2014年第3期50-52,共3页Liquor-Making Science & Technology

基　　金：绍兴市质量技术监督局科研计划项目(201203)

摘　　要：运用GC-Flash型电子鼻技术替代人工感官品评,针对同山烧进行酒龄定量研究。结合主成分分析、判别因子分析法和偏最小二乘法建立同山烧酒龄判别模型。结果表明,偏最小二乘法模型(PLS)对所选传统工艺酿制同山烧酒龄预测结果线性好,准确度高。但对不同发酵工艺及产源(原料)的同山烧需要单独建立酒龄判别模型。In the study, quantitative study of the age of Tongshan durra wine was carried out by use of GC-flash electronic nose technique instead of artificial sensory evaluation, and then all the data were analyzed by multivariate data processing based on principal component analysis （PCA）, discriminant factor analysis （DFA） and partial least squares （PLS） to establish the discrimination model of Tongshan durra wine age. The results suggested that such model was feasible with high accuracy in practice. However, different discrimination model should be established for other Tongshan durra wine made by different fermenting technology or by different raw materials.

关 键 词：白酒 电子鼻 同山烧 酒龄 模型 

分 类 号：TS261[轻工技术与工程—发酵工程]