徐芝亮,章新泉.基于电感耦合等离子体串联质谱法分析矿物元素的江西茶叶产地溯源[J].食品安全质量检测学报,2024,15(4):186-193
基于电感耦合等离子体串联质谱法分析矿物元素的江西茶叶产地溯源
Geographical origin traceability of tea in Jiangxi Province based on inductively coupled plasma tandem mass spectrometry analysis of trace mineral elements
投稿时间:2023-04-12  修订日期:2023-08-31
DOI:
中文关键词:  江西茶叶  电感耦合等离子体串联质谱(ICP-MS/MS)  矿物元素  主成分分析  判别分析  产地溯源
英文关键词:Jiangxi tea  inductively coupled plasma-tandem mass spectrometry  mineral elements  principal component analysis  discriminant analysis  origin traceability
基金项目:江西省重点研发计划项目(20161BB50047,20161BBF60099)
作者单位
徐芝亮 1.江西省检验检测认证总院检测认证技术发展研究院 
章新泉 1.江西省检验检测认证总院检测认证技术发展研究院 
AuthorInstitution
XU Zhi-Liang 1.Development Research Institute of Testing and Certification Technology, Jiangxi General Institute of Testing and Certification 
ZHANG Xin-Quan 1.Development Research Institute of Testing and Certification Technology, Jiangxi General Institute of Testing and Certification 
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中文摘要:
      目的 分析江西不同产区茶叶中矿物元素含量的差异, 并结合多元统计方法分析矿物元素指纹特征, 构建江西茶叶不同产地鉴别的判别模型。方法 采用电感耦合等离子体串联质谱法(inductively coupled plasma-tandem mass spectrometry, ICP-MS/MS)对采集于3个江西代表县的150个茶叶样品中的15种矿物元素进行测定, 获得其中的元素成分信息, 结合主成分分析(principal component analysis, PCA)和判别分析(discriminant analysis, DA), 分析不同产地茶叶的特征元素变量, 筛选元素特征指纹。结果 江西不同产地的茶叶中的常量元素、微量元素和重金属含量差异较大, 可以成为指纹分析技术的有效产地溯源指标。主成分分析以提取特征值大于1.0, 可以将15个矿物元素提取两个主成分, 总方差贡献率达63.001%, 基本保留了原变量的大部分信息。以两个主成分为原始变量, 建立判别典型函数, 利用判别典型函数可以实现3个不同产地的150个茶叶的99.3%正确判别。结论 矿物元素指纹图谱可以用于江西茶叶的产地溯源判别, 为今后江西各种知名茶叶品牌的原产地保护提供技术支撑。
英文摘要:
      Objective To analyze the difference of mineral element content in tea from different producing areas in Jiangxi Province, and construct discrimination model for the identification of tea from different producing areas in Jiangxi Province. Methods Inductively coupled plasma-tandem mass spectrometry (ICP-MS/MS) was used to analyze the content of 15 kinds of mineral elements in 150 tea samples collected from 3 different producing areas of Jiangxi Province to obtain the element composition information. Combined with the technology of principal component analysis (PCA) and discriminant analysis (DA), the characteristic element variables of tea from different regions of Jiangxi Province were analyzed to screen the characteristic fingerprint. Results The content of major elements, trace elements and heavy metals in tea from different areas of Jiangxi Province varied greatly, which could be used as an effective source-tracing index for fingerprint analysis. Two principal components selected from 15 mineral elements explained 63.001% of variance. Two typical discriminant functions were established from 2 principal components. The discriminant functions established could be used to discriminate 150 tea samples from 3 different origins correctly by 99.3%. Conclusion The fingerprint of mineral elements in different producing areas can provide a new method for tracing the origin of Jiangxi tea, and provide the identification basis for the protection of the origin of Jiangxi famous tea brands in the future.
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