摘要
建立鲜苹果品质综合评价标准及分级标准,构建鲜苹果品质的综合评价及分级体系,为鲜苹果品质在线无损检测提供技术支撑。以陕西洛川富士苹果为材料,利用SPSS 19.0软件通过因子分析对鲜苹果13项品质指标进行筛选,利用概率分布和层次分析分别进行品质评价指标的分级及指标权重的确定,再通过K-均值聚类分析和判别分析建立苹果品质判别函数模型。本实验筛选出陕西洛川富士鲜苹果的7项主要品质指标:单果质量、果形指数、色泽a*值、可溶性固形物含量、硬度、VC含量、糖酸比,建立了主要品质指标的分级标准和评分标准,得到对鲜苹果品质综合评价的5个判别函数,建模样本和检验样本的判别正确率分别达95.65%和91.67%。
The objective of this study was to establish a comprehensive grading system for the quality evaluation of fresh apple by online non-destructive testing. Factor analysis using SPSS 19.0 software was conducted to select the primary indicators from 13 quality indicators of fresh Fuji apple from Luochuan, Shaanxi. Probability distribution and analytical hierarchy process(AHP) were used respectively to grade the quality indicators and determine their weights. By employing K-means clustering and discriminant analysis, the discriminant model of apple quality was established. The results showed that the seven key quality indicators of fresh Fuji apple were single fruit weight, fruit shape index, color and lustre, soluble solids, hardness, vitamin C and sugar/acid ratio. This study has established quality grading and evaluation standards, and the five discirminant functions developed in this study could be applied to discriminate the quality of fresh apple with an accuracy of 95.65% and 91.67% using modeling and test samples, respectively. This study can provide a scientific basis to establish comprehensive assessment and grading standards for fresh apple quality, and also can offer technical support for integrated on-line quality detection.
出处
《食品科学》
EI
CAS
CSCD
北大核心
2015年第1期69-74,共6页
Food Science
基金
中央高校基本科研业务费专项资金项目(GK201002018)
陕西省科技统筹创新工程计划项目(2011KTCQ02-03)
国家现代农业(苹果)产业技术体系建设专项(CARS-28)
关键词
苹果品质
因子分析
层次分析
聚类分析
判别分析
评价体系
apple quality
factor analysis
analytical hierarchy process(AHP)
cluster analysis
discriminant analysis
evaluation system
