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基于主成分和聚类分析的曲拉品质的综合评价

陈梦音 王琳琳 韩玲 丁考仁青 张佳莹 黄彩燕 文鹏程

食品科学2017,Vol.38Issue(13):102-107,6.
食品科学2017,Vol.38Issue(13):102-107,6.DOI:10.7506/spkx1002-6630-201713017

基于主成分和聚类分析的曲拉品质的综合评价

Comprehensive Evaluation of the Quality Qula, Dried Residue of Naturally Fermented Skim Yak Milk, Based on Principal Component Analysis and Cluster Analysis

陈梦音 1王琳琳 1韩玲 1丁考仁青 2张佳莹 1黄彩燕 1文鹏程1

作者信息

  • 1. 甘肃农业大学食品科学与工程学院,甘肃兰州 730070
  • 2. 甘南州畜牧科学研究所,甘肃合作 747000
  • 折叠

摘要

Abstract

In order to improve the quality consistency of Qula,the dried residue of naturally fermented skim yak milk,in pastoral areas of China,a comprehensive quality evaluation was conducted for Qula samples collected from some major producing areas in the country.A total of 95 Qula samples from 8 producing areas were analyzed for nutritional composition,antioxidant properties,color values and 5-hydroxymethylfurfural (5-HMF).The appropriate indicators to evaluate the quality of Qula were screened by principal component analysis (PCA) and the samples were classified by cluster analysis.At the same time,analysis of variance was used to comprehensively evaluate the quality of Qula samples.The results showed that majority indicators were extremely significant (P < 0.01) and significant (P < 0.05) correlation.The first and second principal components (PC1 and PC2) identified by PCA,accounting for 72.846% and 13.763% of the total variance,were interpreted as a ‘color component’ and a ‘nutritional quality component',respectively.The PC1 loading factors for color L*,a* and b* values and 5-HMF content were all higher than 0.9,suggesting that the color could be considered the major indicator of Qula quality.Cluster analysis suggested that these Qula samples were classified into four categories,showing good consistency with the result from principal component analysis.There were extremely significant differences between four categories of Qula samples in terms of quality indicators (P < 0.01).Approximately 14.74% of Qula samples were bad in quality,69.47% good and 15.79% excellent.

关键词

牦牛曲拉/品质指标/主成分分析/聚类分析

Key words

Qula/quality indicators/principal component analysis/cluster analysis

分类

轻工纺织

引用本文复制引用

陈梦音,王琳琳,韩玲,丁考仁青,张佳莹,黄彩燕,文鹏程..基于主成分和聚类分析的曲拉品质的综合评价[J].食品科学,2017,38(13):102-107,6.

基金项目

农业部公益性行业(农业)科研专项(201303085) (农业)

食品科学

OA北大核心CSCDCSTPCD

1002-6630

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