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基于龙井茶香气风味特性的品质判定
引用本文:戴悦雯,支瑞聪,赵 镭,高海燕,史波林,汪厚银.基于龙井茶香气风味特性的品质判定[J].食品科学,2015,36(10):110-113.
作者姓名:戴悦雯  支瑞聪  赵 镭  高海燕  史波林  汪厚银
作者单位:1.上海大学生命科学学院,上海 200444;2.中国标准化研究院食品与农业标准化研究所,北京 100088
基金项目:国家高技术研究发展计划(863计划)项目(2011AA1008047);国家自然科学基金青年科学基金项目(31201358);
北京市优秀人才培养资助项目(2012D009999000001)
摘    要:结合人工感官审评和智能感官分析对4 个等级西湖龙井茶进行识别判定。通过相关性分析和主成分分析,先后建立龙井茶香气分属性权重及龙井茶香气分属性与电子鼻传感器关联性。根据龙井茶香气分属性权重及香气分属性与传感器关联性结果,对电子鼻传感器进行筛选。通过核Fisher判别分析法和K-最近邻算法进行进一步特征提取和模式分类,实现了对于训练集样本100%和测试集样本97.5%的正确识别。

关 键 词:西湖龙井茶  人工感官审评  智能感官分析  核Fisher判别分析  

Evaluation of Longjing Tea Quality Based on Aroma Characteristics
DAI Yuewen,ZHI Ruicong,ZHAO Lei,GAO Haiyan,SHI Bolin,WANG Houyin.Evaluation of Longjing Tea Quality Based on Aroma Characteristics[J].Food Science,2015,36(10):110-113.
Authors:DAI Yuewen  ZHI Ruicong  ZHAO Lei  GAO Haiyan  SHI Bolin  WANG Houyin
Affiliation:1. College of Life Science, Shanghai University, Shanghai 200444, China; 2. Institute of Food and Agriculture Standardization, China National Institute of Standardization, Beijing 100088, China
Abstract:A combination of artificial sensory evaluation with intelligent sensory analysis was used in discrimination and
identification of 4 grades of Xihu Longjing tea. Weights of aroma attributes and the correlation between aroma attributes and
electronic nose sensors were established by correlation analysis and principal component analysis (PCA) and according to
the results obtained, the optimal sensors of electronic nose were selected. Kernel Fisher discriminant analysis (KFDA) and
K-nearest neighbor (KNN) were utilized for further feature extraction and pattern recognition, and the correction coefficient
of the training and test sets were 100% and 97.5%, respectively.
Keywords:Xihu Longjing tea  artificial sensory evaluation  intelligent sensory analysis  kernel Fisher discriminant analysis  
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