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中国精品科技期刊2020
李先丽,李虹琳,鄢正美,等. 基于主成分及聚类分析的甘蔗汁品质综合评价[J]. 食品工业科技,2025,46(17):325−334. doi: 10.13386/j.issn1002-0306.2024080367.
引用本文: 李先丽,李虹琳,鄢正美,等. 基于主成分及聚类分析的甘蔗汁品质综合评价[J]. 食品工业科技,2025,46(17):325−334. doi: 10.13386/j.issn1002-0306.2024080367.
LI Xianli, LI Honglin, YAN Zhengmei, et al. Comprehensive Evaluation of Sugarcane Juice Quality Based on Principal Component and Cluster Analyses[J]. Science and Technology of Food Industry, 2025, 46(17): 325−334. (in Chinese with English abstract). doi: 10.13386/j.issn1002-0306.2024080367.
Citation: LI Xianli, LI Honglin, YAN Zhengmei, et al. Comprehensive Evaluation of Sugarcane Juice Quality Based on Principal Component and Cluster Analyses[J]. Science and Technology of Food Industry, 2025, 46(17): 325−334. (in Chinese with English abstract). doi: 10.13386/j.issn1002-0306.2024080367.

基于主成分及聚类分析的甘蔗汁品质综合评价

Comprehensive Evaluation of Sugarcane Juice Quality Based on Principal Component and Cluster Analyses

  • 摘要: 为建立一种适宜的甘蔗汁品质评价方法,本研究以14个甘蔗品种甘蔗汁为研究对象,选取14项品质指标进行测定,通过主成分分析结合相关性分析、描述性统计分析的方法筛选影响甘蔗汁品质的核心评价指标,基于熵权法对核心指标赋予权重,并建立灰色关联度评价模型。结果表明,不同品种甘蔗汁多项指标存在显著差异(P<0.05),且多个指标间存在显著相关性(P<0.05),主成分分析确立了可滴定酸、果糖、蔗糖、蛋白质、可溶性固形物、多酚为核心指标,熵权法计算核心指标的权重分别为14.17%、14.45%、17.23%、18.17%、16.36%、19.63%。灰色关联度分析结果表明,‘桂糖11’‘滇蔗01-106’和‘滇蔗02-38’综合品质列前三位。经聚类分析将14种甘蔗汁分为3类,第一类甘蔗糖含量较高,建议用于榨糖或加工成红糖,第二类甘蔗甜度适中,适宜开发功能性饮品,第三类甘蔗口感好且风味佳,适宜榨汁鲜食,本研究结果为鲜食甘蔗优质资源筛选及品种的选育提供参考,也为各品种的综合利用提供了理论依据。

     

    Abstract: In this study, a suitable method for evaluating the quality of sugarcane juice was developed by examining 14 varieties of sugarcane juice and selecting 14 quality indicators for measurement. The core evaluation indicators affecting the quality of sugarcane juice were identified using principal component analysis, combined with correlation and descriptive statistical analyses. Weights were assigned to these core indicators based on entropy weighting, and a grey correlation degree evaluation model was developed. The results showed significant differences (P<0.05) in the number of indicators among the different varieties of sugarcane juice, and a significant correlation (P<0.05) was observed between several indicators. Principal component analysis identified titratable acid, fructose, sucrose, protein, soluble solids, and polyphenols as the core indicators, and the entropy weighting method assigned the following weights of the core indicators: 14.17%, 14.45%, 17.23%, 18.17%, 16.36%, and 19.63%, respectively. The results of grey correlation analysis showed that the comprehensive quality of 'GT 11' 'YAU 01-106' and 'YAU 02-38' ranked in the top three. Cluster analysis classified the 14 types of sugarcane juice into three categories: the first category cane, with a high sugar content, was recommended for sugar extraction or processing into brown sugar. The second category, with moderate sweetness, was suitable for the development of functional beverages, and the third category, with a good taste and flavor, was ideal for juice extraction for fresh consumption. The findings of this study provide a reference for the selection of high-quality resources and varieties of edible sugarcane, as well as a theoretical basis for the comprehensive utilization of each variety.

     

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