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中国精品科技期刊2020
丛嘉昕, 宋江峰, 李大婧, 包怡红, 刘春泉, 杨秋明, 肖亚冬. 基于多元统计分析的冻干草莓果粉品质评价因子筛选[J]. 食品工业科技, 2018, 39(11): 28-34,38. DOI: 10.13386/j.issn1002-0306.2018.11.006
引用本文: 丛嘉昕, 宋江峰, 李大婧, 包怡红, 刘春泉, 杨秋明, 肖亚冬. 基于多元统计分析的冻干草莓果粉品质评价因子筛选[J]. 食品工业科技, 2018, 39(11): 28-34,38. DOI: 10.13386/j.issn1002-0306.2018.11.006
CONG Jia-xin, SONG Jiang-feng, LI Da-jing, BAO Yi-hong, LIU Chun-quan, YANG Qiu-ming, XIAO Ya-dong. Screening of factors for evaluating freeze-dried strawberry powder based on multivariate statistical analysis[J]. Science and Technology of Food Industry, 2018, 39(11): 28-34,38. DOI: 10.13386/j.issn1002-0306.2018.11.006
Citation: CONG Jia-xin, SONG Jiang-feng, LI Da-jing, BAO Yi-hong, LIU Chun-quan, YANG Qiu-ming, XIAO Ya-dong. Screening of factors for evaluating freeze-dried strawberry powder based on multivariate statistical analysis[J]. Science and Technology of Food Industry, 2018, 39(11): 28-34,38. DOI: 10.13386/j.issn1002-0306.2018.11.006

基于多元统计分析的冻干草莓果粉品质评价因子筛选

Screening of factors for evaluating freeze-dried strawberry powder based on multivariate statistical analysis

  • 摘要: 本文通过测定21个草莓品种冻干果粉的品质性状,基于描述性统计、相关性分析、主成分分析和聚类分析对不同品种冻干草莓果粉品质进行评价。结果表明,测定的21项品质指标中,仅DPPH自由基清除率和b*值的变异系数小于6%,其余指标变异系数均较大;各指标间存在不同程度的相关性。对各品质指标进行主成分分析,前6个主成分的累积方差贡献率达81.895%,基本反映了原指标的信息,主成分综合得分较高的品种为凤凰、梦、假章姬和紫金香玉,再进一步根据聚类结果,最终将草莓果粉21项品质指标简化为吸湿性、果糖含量、a*值、可溶性蛋白含量、VC含量、果胶含量、产出率和L*值8项具有代表性的核心评价指标。本研究结果为草莓冻干果粉品质指标的确定提供了理论依据。

     

    Abstract: The quality traits of freeze-dried fruit powder of 21 strawberry cultivars were evaluated based on descriptive statistics, correlation analysis, principal component analysis and cluster analysis. The results indicated that only variation coefficients of DPPH radical inhibition rate and b* value were less than 6% among the 21 quality indexes and the others were larger. Meanwhile, there were different degrees of correlation among the indicators. The principal component analysis method was used to concentrating representation of interrelated variables and the first six principal components together account for 81.895% of the total variability. Among 21 strawberry cultivars, the principal component comprehensive scores of ‘Fenghuang’, ‘Meng’, ‘Jiazhangji’ and ‘Zijinxiangyu’ were higher. According to PCA and clustering results, eight core indexes including hygroscopicity, fructose content, a* value, soluble protein content, VC content, pectin content, yield and L* value selected from six categories of principal components could replace the original 21 indicators to simplify the evaluation indexes of freeze-dried strawberry powder. The results of this study would provide a theoretical basis for evaluating the quality indexes of freeze-dried strawberry powder.

     

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