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当前位置: 首页 > 文章 > 基于无机元素的花椒产地溯源和品种聚类分析 食品科学 2019 (16) 213-219
Position: Home > Articles > Geographical Origin Traceability and Varietal Classification of Zanthoxylum Based on Mineral Profile FOOD SCIENCE 2019 (16) 213-219

基于无机元素的花椒产地溯源和品种聚类分析

作  者：
吴振;李红;杨勇;谭红军;詹永;贾凤霞;李孝彬;王福强
单  位：
重庆市中药研究院中药健康学重庆市重点实验室;四川省广元市旺苍县农业局;重庆市中药研究院;重庆市食品药品检验检测研究院
关键词：
红花椒;青花椒;元素;偏最小二乘判别分析;品种;产地
摘  要：
采用电感耦合等离子体原子发射光谱法,对红花椒(陕西韩城、四川汉源、四川茂汶、甘肃武都)和青花椒(云南昭通、贵州关岭、四川金阳、四川汉源、重庆江津)9大主产地的80个样品中21个无机元素含量进行测定。采用主成分分析(principal component analysis,PCA)和偏最小二乘判别分析(partial least squaresdiscriminationanalysis,PLS-DA)对红花椒和青花椒中无机元素进行综合评价,PCA和PLS-DA将80个花椒聚为9组,PLS-DA分类效果更佳,并能将红花椒和青花椒有效区分,从元素组成角度揭示了红花椒和青花椒的亲缘关系和地域分布特征。研究证明多元素分析结合PLS-DA可作为一种花椒品种和产地识别的有效工具,对于产地溯源和品种鉴定具有重要意义。
译  名：
Geographical Origin Traceability and Varietal Classification of Zanthoxylum Based on Mineral Profile
作  者：
WU Zhen;LI Hong;YANG Yong;TAN Hongjun;ZHAN Yong;JIA Fengxia;LI Xiaobin;WANG Fuqiang;Chongqing Academy of Chinese Materia Medica,Chongqing Key Laboratory of Chinese Medicine and Health Science;Chongqing Institute for Food and Drug Control;Chongqing Engineering Technology Research Center of Materia Medica Health;Agricultural Bureau of Wangcang County;
关键词：
Zanthoxylum bungeanum Maxim.;;Zanthoxylum schinifolium Sieb. et Zucc.;;element;;partial least squares-discrimination analysis;;variety;;geographical origin
摘  要：
The concentrations of 21 mineral elements(Al, B, Ba, Ca, Cd, Co, Cu, Na, K, Fe, Mg, Mn, Zn, Ni, Pb, As, Se,Hg, Cr, V and Sr) of 80 Zanthoxylum samples collected from 9 main producing regions in China(Z. bungeanum Maxim:Hancheng in Shaanxi, Hanyuan in Sichuan, Maowen in Sichuan and Wudu in Gansu; Z. schinifolium Sieb. et Zucc: Zhaotong in Yunnan, Guanling in Guizhou, Jinyang in Sichuan, Hanyuan in Sichuan, and Jiangjin in Chongqing) were determined by principal component analysis(PCA) and partial least squares-discrimination analysis(PLS-DA) were used to analyze the data obtained. The 80 samples were classified into nine groups by PCA and PLS-DA, agreeing with the actual grouping.The classification ability of PLS-DA was better than that of PCA and could effectively distinguish between Z. bungeanum Maxim. and Z. schinifolium Sieb. et Zucc. This study demonstrated that the combination of multi-element analysis and PLSDA can be an effective tool for identifying the geographical origin and variety of Zanthoxylum.

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