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基于离子选择性电极传感器阵列的白酒香型快速鉴别
引用本文:邹小波,刘泽宇,郑悦,张文,石吉勇,徐艺伟.基于离子选择性电极传感器阵列的白酒香型快速鉴别[J].现代食品科技,2018,34(7):251-257.
作者姓名:邹小波  刘泽宇  郑悦  张文  石吉勇  徐艺伟
作者单位:江苏大学食品与生物工程学院;中国农业机械化科学研究院
基金项目:国家自然科学基金项目(31671844);国家科技支撑项目(2015BAD17B04);“十三五”国家重点研发计划(2016YFD0401104);江苏省自然科学基金项目(BK20160506)资助
摘    要:白酒是中国传统且独有的产品,酿造原料和酿造工艺的不同产生了不同风味及口感的白酒,现阶段白酒的香型主要分为8种。为了实现对不同香型白酒的快速鉴别,本试验组建了由12个不同的离子选择性电极组成的味觉传感器阵列,对8种不同香型的白酒进行检测。在数据分析过程中,利用主成分分析法、聚类分析法和线性判别法对实验数据进行分析与识别。在主成分分析三维图中,8种不同香型的白酒能被很明显得区分开来,前3个主成分的累计贡献率为75.01%;利用聚类分析进一步对数据进行分析,其对8种不同香型白酒的识别率达到了93.75%;最后通过线性判别法对测试样本进行识别,校正集和预测集的识别率均达到了100%。研究表明:此味觉传感器阵列对不同香型的白酒具有较好的鉴别能力。

关 键 词:味觉传感器阵列  白酒  主成分分析  系统聚类分析  线性判别分析
收稿时间:2018/1/25 0:00:00

Rapid Identification of Liquor Fragrance using an Ion Selective Electrode Array
ZOU Xiao-bo,LIU Ze-yu,ZHENG Yue,ZHANG Wen,SHI Ji-yong and XU Yi-wei.Rapid Identification of Liquor Fragrance using an Ion Selective Electrode Array[J].Modern Food Science & Technology,2018,34(7):251-257.
Authors:ZOU Xiao-bo  LIU Ze-yu  ZHENG Yue  ZHANG Wen  SHI Ji-yong and XU Yi-wei
Affiliation:(1.School of Food and Biological Engineering, Jiangsu University, Zhenjiang 212013, China),(1.School of Food and Biological Engineering, Jiangsu University, Zhenjiang 212013, China),(2.Chinese Academy of Agricultural Mechanization Science, Beijing 100020, China),(1.School of Food and Biological Engineering, Jiangsu University, Zhenjiang 212013, China),(1.School of Food and Biological Engineering, Jiangsu University, Zhenjiang 212013, China) and (1.School of Food and Biological Engineering, Jiangsu University, Zhenjiang 212013, China)
Abstract:Liquor is traditional and unique product of China. Because of different brewing materials and processes, Chinese liquor has different and flavor taste. At this stage, the scent of liquor fragrance is divided into eight kinds. In order to rapidly identify liquor flavor, a taste sensor array based on 12 ion selective electrodes was developed and used for analyzing eight kinds of scent liquor. In this paper, the principal component analysis, cluster analysis and linear discriminant analysis were used to analyze the experimental data. In the three-dimensional diagram of principal component analysis, eight different flavors of liquor can be clearly distinguished, and the cumulative contribution rate of the first three principal components was of 75.01%. Using cluster analysis to further analyze the data, the recognition percentages of the eight different types of spirits reached up to 93.75%. Finally, the linear discriminant analysis was used to identify the test samples, the discriminant percentage between the correction set and the prediction set was up to 100%. This study showed that the developed taste sensor array has good identification ability for different flavors of liquor.
Keywords:taste sensor array  liquor  principal component analysis  system clustering analysis  linear discriminant analysis
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