食品科学 ›› 2019, Vol. 40 ›› Issue (8): 130-135.doi: 10.7506/spkx1002-6630-20180806-053

• 成分分析 • 上一篇    下一篇

基于主成分与聚类分析的甘肃地区产地木耳品质综合评价

焦 扬,折发文,张娟娟,郭秀秀,罗光宏   

  1. 1.河西学院农业与生物技术学院,甘肃 张掖 734000;2.甘肃省河西走廊特色资源利用重点实验室,甘肃 张掖 734000;3.甘肃省微藻工程技术研究中心,甘肃 张掖 734000
  • 出版日期:2019-04-25 发布日期:2019-05-05
  • 基金资助:
    国家自然科学基金面上项目(11665011);国家级大学生创新创业训练项目(20160740005);甘肃省高校协同创新科技团队支持计划项目(2017C-17)

Comprehensive Quality Evaluation of Nostoc commune Vauch. from Gansu Province by Principal Component Analysis and Cluster Analysis

JIAO Yang, SHE Fawen, ZHANG Juanjuan, GUO Xiuxiu, LUO Guanghong   

  1. 1. College of Agriculture and Biotechnology, Hexi University, Zhangye 734000, China; 2. Key Laboratory of Hexi Corridor Resources Utilization of Gansu, Zhangye 734000, China; 3. Engineering Technology Research Center for Microalgae of Gansu, Zhangye 734000, China
  • Online:2019-04-25 Published:2019-05-05

摘要: 为优化评价地木耳品质的指标,采用主成分和聚类分析,对甘肃8个地区产地木耳的粗蛋白、总灰分、磷、总糖、脂类、总脂、水溶性灰分、水不溶性灰分以及Ca、Na、K、Mg、Fe、Zn、Mn、Cu、Pb、Ni和Cd 19个品质指标进行分析。结果表明,不同地区来源的地木耳品质指标中,总脂、脂类、总糖以及Mn、Na、Zn变异系数较大,均超过30%,其他指标的变异系数相对较小,在3%左右。主成分分析表明19个反映不同地区产地木耳品质的指标可以用5个主成分(累计贡献率达到92.71%)表示。根据聚类分析得到总糖、水溶性灰分、脂类、Fe、Ca和磷6 个品质指标可以用来衡量地木耳品质的优劣。甘肃8 个地区产地木耳中,山丹的品质最好,其次是天祝,甘州区地木耳的品质最差。

关键词: 地木耳, 品质指标, 主成分分析, 聚类分析

Abstract: In order to optimize the indexes to evaluate the quality of Nostoc commune Vauch., 19 quality attributes including crude protein, total ash, phosphorus, total sugars, lipid classes, total lipids, water-soluble ash, water-insoluble ash, Ca, Na, K, Mg, Fe, Zn, Mn, Cu, Pb, Ni and Cd of N. commune Vauch. from 8 regions in Gansu province were analyzed by principal component analysis (PCA) and cluster analysis (CA). The results showed that the variation coefficients of total lipids, lipid classes, total sugars, Mn, Na and Zn were more than 30%, while those of other quality indexes were only about 3%. PCA showed that five principal components represented the 19 quality indicators N. commune Vauch., making 92.71% cumulative contribution to the total variance. According to the cluster analysis, six quality indexes including total sugar, water-soluble ash, lipids, Fe, Ca and P were sufficient to evaluate the quality of N. commune Vauch.. Among the 8 producing areas, N. commune Vauch. from Shandan had the best quality, followed by Tianzhu, and that from Ganzhou had the worst quality.

Key words: Nostoc commune Vauch., quality indexes, principal component analysis, cluster analysis

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