食品科学 ›› 2022, Vol. 43 ›› Issue (8): 334-338.doi: 10.7506/spkx1002-6630-20210129-346

• 安全检测 • 上一篇    

基于主成分分析及聚类分析的不同产地冬枣品质特性分析

武琳霞,李玲,张国光,姜冬梅,欧阳喜辉,王蒙   

  1. (1.北京市农林科学院质量标准与检测技术研究所,农业农村部农产品质量安全风险评估实验室(北京),北京 100097;2.北京市农产品质量安全中心,农业农村部农产品质量安全环境因子风险评估实验室(北京),北京 100029)
  • 发布日期:2022-04-26
  • 基金资助:
    国家农产品质量安全风险评估项目(GJFP2020043)

Analysis of Quality Characteristics of Winter Jujube from Different Regions Using Principal Component Analysis and Cluster Analysis

WU Linxia, LI Ling, ZHANG Guoguang, JIANG Dongmei, OUYANG Xihui, WANG Meng   

  1. (1. Risk Assessment Laboratory for Agro-products (Beijing), Ministry of Agriculture and Rural Affairs, Institute of Quality Standard and Testing Technology, Beijing Academy of Agriculture and Forestry Sciences, Beijing 100097, China;2. Risk Assessment Laboratory of Environmental Factors for Quality and Safety of Agricultural Products (Beijing), Ministry of Agriculture and Rural Affairs, Beijing Center of Agricultural Products Quality and Safety, Beijing 100029, China)
  • Published:2022-04-26

摘要: 通过测定采自5 个主产区冬枣的18 个品质指标,基于多重比较、相关性分析、主成分分析、聚类分析和Fisher判别分析对不同产地冬枣品质进行评价并筛选特征指标。继而根据不同地域冬枣的特征指标,探讨其对冬枣产地溯源的可行性。结果表明:主成分分析综合得分结果表明新疆和田和山东沾化是冬枣的优势产区;结合聚类分析将18 项品质指标简化为可溶性固形物、钾、锰、单果质量、硬度、乙醇、色泽和含水量8 项具有代表性的特征指标;Fisher判别分析显示8 个特征指标可作为5 个冬枣主产区产地溯源的品质指标,且对冬枣产地整体正确判别率为100.0%,交叉检验正确判别率为97.2%。本研究为不同产地冬枣品质评价和核心品质指标的确定提供了依据,在冬枣的产地溯源中具有重要意义。

关键词: 冬枣;品质;溯源;主成分分析;聚类分析;Fisher判别分析

Abstract: In this study, 18 quality indexes of winter jujube collected from five major production areas were determined. Quality evaluation and determination of the key indexes were carried out using multiple comparison, correlation analysis, principal component analysis, cluster analysis and Fisher discriminant analysis. Then, the feasibility of tracing the geographical origin of winter jujube was discussed according to the key quality indexes. The comprehensive analysis of principal component scores indicated that Xinjiang’s Hotan and Shandong’s Zhanhua were superior production areas. Further cluster analysis showed that the 18 quality indexes of winter jujube could be represented by eight key indexes, including soluble solid content, potassium, manganese, individual fruit mass, hardness, ethanol, color and water content. Fisher discriminant analysis showed that the eight key indexes could be used to trace the geographical origin of winter jujube with an overall discrimination accuracy of 100.0%, and a discrimination accuracy for cross-validation of 97.2%. This study provides a theoretical basis for the quality evaluation and key quality index determination of winter jujube from different production areas, which will be of great significance for the geographical origin traceability and production of winter jujube.

Key words: winter jujube; quality; geographical origin traceability; principal component analysis; cluster analysis; Fisher discriminant analysis

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