食品科学 ›› 2019, Vol. 40 ›› Issue (1): 70-76.doi: 10.7506/spkx1002-6630-20170829-338

• 基础研究 • 上一篇    下一篇

不同蓝莓品种果实品质比较与综合评价

刘丙花1,2,孙 锐3,王开芳1,2,舒秀阁1,2,孙 蕾1,2,*   

  1. 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
  • 出版日期:2019-01-15 发布日期:2019-01-22
  • 基金资助:
    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)

Comparison and Comprehensive Evaluation of Fruit Quality of Different Blueberry (Vaccinium spp.) Varieties

LIU Binghua1,2, SUN Rui3, WANG Kaifang1,2, SHU Xiuge1,2, SUN Lei1,2,*   

  1. 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
  • Online:2019-01-15 Published:2019-01-22

摘要: 本研究对山东省引种的22 个蓝莓品种的果实品质进行了比较与综合分析。结果表明:9 个蓝莓品质指标均存在很大的品种间差异,其中单果质量、果实比重、硬度、可溶性固形物质量分数、有效酸度(pH值)、花青素含量和VC含量变异系数均大于10.00%,品种间差异较大;果形指数和果皮明度指数(L*值)变异系数低于10.00%,是较为稳定的指标。利用相关性分析与主成分分析相结合的方法,筛选出综合评价不同蓝莓品种品质的核心品质指标5 项,分别为果形指数、硬度、L*值、可溶性固形物质量分数和pH值。利用层次分析法对核心指标进行权重赋予,建立蓝莓综合评价数学模型,计算不同蓝莓品种的综合、鲜食和加工评价指数。根据蓝莓主要品质指标,对22 个蓝莓品种进行系统聚类分析。聚类结果与主成分得分对22 个蓝莓品种分类的判定结果较为一致,均可用来分析蓝莓果实品质指标,综合评价不同蓝莓品种果实的鲜食或加工品质的优劣。

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

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.

Key words: blueberry, quality characteristics, core indicators, coefficient of variation, principal component analysis, cluster analysis

中图分类号: