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不同蓝莓品种果实品质比较与综合评价
引用本文:刘丙花,孙锐,王开芳,舒秀阁,孙蕾.不同蓝莓品种果实品质比较与综合评价[J].食品科学,2019,40(1):70-76.
作者姓名:刘丙花  孙锐  王开芳  舒秀阁  孙蕾
作者单位:1.山东省林业科学研究院,山东 济南 250014;2.国家林业局经济林产品质量检验检测中心(济南),山东 济南 250014;3.齐鲁工业大学食品科学与工程学院,山东 济南 250353
基金项目:公益性行业(林业)科研专项(201204402);国家级大学生创新创业训练计划项目(201610431022)
摘    要:

关 键 词:蓝莓  品质特性  核心指标  变异系数  主成分分析  聚类分析

Comparison and Comprehensive Evaluation of Fruit Quality of Different Blueberry (Vaccinium spp.) Varieties
LIU Binghua,SUN Rui,WANG Kaifang,SHU Xiuge,SUN Lei.Comparison and Comprehensive Evaluation of Fruit Quality of Different Blueberry (Vaccinium spp.) Varieties[J].Food Science,2019,40(1):70-76.
Authors:LIU Binghua  SUN Rui  WANG Kaifang  SHU Xiuge  SUN Lei
Affiliation:1. Shandong Academy of Forestry, Jinan 250014, China; 2. Economic Forest Products Quality Inspection Test Center of State Forestry Administration (Jinan), Jinan 250014, China; 3. School of Food Science and Engineering, Qilu University of Technology, Jinan 250353, China
Abstract:In the present study, the fruit quality of 22 blueberry varieties introduced in Shandong province was analyzed and comprehensively evaluated. The results showed that nine quality indicators were greatly different among different blueberry varieties. The coefficients of variation (CVs) for single fruit mass, specific gravity, hardness, soluble solid content, valid acidity value (pH), anthocyanin content and vitamin C content were greater than 10.00%, indicating significant differences between varieties. Meanwhile, the CVs for fruit shape index and peel brightness index (L* value) were less than 10.00%, suggesting that they were more stable indicators. Five quality indicators including fruit shape index, hardness, L* value, soluble solids content and pH were screened out by using correlation analysis and principal component analysis (PCA) as the core indicators to comprehensively evaluate the fruit quality of different blueberry varieties. The analytical hierarchy process was applied for weight analysis of the core indexes, and a mathematic model was established to calculate the comprehensive evaluation index and evaluate the fruit quality and processing suitability of each blueberry cultivar. Moreover, according to the main quality indexes of blueberry, cluster analysis (CA) was carried out by using the Pearson correlation method. Consistent results were obtained using PCA and CA, indicating that both can be used to analyze blueberry fruit quality index and comprehensively evaluate the fruit quality and processing suitability of different blueberry varieties.
Keywords:blueberry  quality characteristics  core indicators  coefficient of variation  principal component analysis  cluster analysis  
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