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

• Safety Detection • Previous Articles    

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

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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