化学成分结合统计分析鉴别不同产地绿茶的研究.PDF

安徽农业大学学报, 2014, 41(5): 751-756 Journal of Anhui Agricultural University [DOI] 10.13610/ki.1672-352x030 网络出版时间：2014-8-27 16:20:00 [URL] /kcms/doi/10.13610/ki.1672-352x030.html 化学成分结合统计分析鉴别不同产地绿茶的研究 * 张明鸣，宁井铭，张正竹，宛晓春，徐 燕 ，罗贤静丽 (安徽农业大学茶叶生物化学与生物技术教育部重点实验室，合肥 230036) 摘 要：绿茶是我国六大茶类之一，产地分布广，品质差异性大。目前，对茶叶产地的鉴别主要依赖感官审评， 缺乏量化的评价指标，评价结果存在着不确定性。本研究对 6 个省份绿茶主要化学成分进行主成分分析，提取主要 成分因子，应用贝叶斯（Bayes ）判别结合聚类分析对不同产地绿茶进行鉴别。结果表明，Bayes 判别对 6 个地区 27 个样品能达 100%的正确判别，同时聚类分析结果与原始样品基本相同，为绿茶产地的鉴别提供具体量化模型。 关键词：绿茶；产地；Bayes 判别；聚类分析 中图分类号：S571.1 文献标识码：A 文章编号：1672−352X (2014)05−0751−06 Identification of green tea origins based on chemical components with statistical analysis ZHANG Mingming, NING Jingming, ZHANG Zhengzhu, WAN Xiaochun, XU Yan, LUO Xianjingli (Key Laboratory of Tea Biochemistry and Biotechnology, Ministry of Education, Anhui Agricultural University, Hefei 230036) Abstract: Green tea, one of the six major teas in China, has a wide distribution of origins and a distinct dif- ference in tea quality. Currently, differentiation of green teas from different geographical origins mainly depends on the sensory evaluation. Lack of the quantified evaluation criteria often result in an uncertain result. By analyz- ing the main chemical components of green teas from six provinces, we used the Bayesian discriminant analysis together with the cluster analysis method to differentiate green teas from six different geographical origins. Re- sults suggested that the Bayesian discriminant analysis can be used to discriminate 27 samples from six regions perfectly and the cluster analysis also showed the same result. Thus, the Bayesian discriminant analysis can pro- vide a specific quantitative model for differentiating green teas originated from different geographical regions.