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中国精品科技期刊2020
轩瑞瑞,陈艳萍,刘春菊,等. 基于熵权法和灰色关联度法的鲜食糯玉米品质评价[J]. 食品工业科技,2021,42(14):241−248. doi: 10.13386/j.jssn1002-0306.2020090072.
引用本文: 轩瑞瑞,陈艳萍,刘春菊,等. 基于熵权法和灰色关联度法的鲜食糯玉米品质评价[J]. 食品工业科技,2021,42(14):241−248. doi: 10.13386/j.jssn1002-0306.2020090072.
XUAN Ruirui, CHEN Yanping, LIU Chunju, et al. Quality Evaluation of Different Varieties of Fresh-edible Waxy Corns Based on Entropy Weight Method and Grey Interconnect Degree Analysis[J]. Science and Technology of Food Industry, 2021, 42(14): 241−248. (in Chinese with English abstract). doi: 10.13386/j.jssn1002-0306.2020090072.
Citation: XUAN Ruirui, CHEN Yanping, LIU Chunju, et al. Quality Evaluation of Different Varieties of Fresh-edible Waxy Corns Based on Entropy Weight Method and Grey Interconnect Degree Analysis[J]. Science and Technology of Food Industry, 2021, 42(14): 241−248. (in Chinese with English abstract). doi: 10.13386/j.jssn1002-0306.2020090072.

基于熵权法和灰色关联度法的鲜食糯玉米品质评价

Quality Evaluation of Different Varieties of Fresh-edible Waxy Corns Based on Entropy Weight Method and Grey Interconnect Degree Analysis

  • 摘要: 为了研究不同品种鲜食糯玉米的品质特性,对17个不同品种鲜食糯玉米籽粒中的8个内在品质指标(水分、总淀粉、直链淀粉、支链淀粉、总糖、膳食纤维、粗蛋白、粗脂肪)含量和5项主要质构指标(硬度、弹性、内聚性、胶着性、咀嚼性)参数进行测定。通过相关性分析和主成分分析筛选出核心评价指标,在此基础上运用熵权法赋予各指标权重,最后采用灰色关联度法对鲜食糯玉米品质进行综合评价。结果显示,不同鲜食糯玉米品质存在一定差异性,质构指标与内在品质指标中的直链淀粉/支链淀粉含量均呈现较好的相关性;利用主成分分析筛选出4个核心评价指标,分别是支链淀粉含量、总糖含量、水分含量和粗脂肪含量。通过熵权法得到各核心指标的权重,其中支链淀粉含量的权重值最大。灰色关联度分析得出,综合品质较好的品种为万糯2000、苏科糯1702和苏科糯1505。此结果将为鲜食糯玉品质综合评价和品种筛选提供理论支持。

     

    Abstract: The quality characteristics of 17 fresh eating waxy corn varieties were studied based on their quality and structure characteristics. The former included the content of moisture, starch, amylose and amylopectin, total sugar, dietary fiber, crude protein and crude fat, while the latter included the value of hardness, elasticity, cohesion, adhesiveness and chewiness. In order to screen out the core evaluation index, correlation analysis and principal component analysis were applied in this process. The entropy weight method was to assign weight to each index. And the grey correlation degree method was to comprehensively evaluate the quality. The results showed that there were differences in quality of different fresh-edible waxy corns. The texture properties had a good correlation with amylose and amylopectin. Four core evaluation indicators of fresh waxy corn were determined by principal component analysis; amylopectin, total sugar, moisture and crude fat. The weight value of amylopectin was the highest by the entropy method. The varieties with better comprehensive quality were ‘Wannuo2000’, ‘Sukenuo1702’ and ‘Sukenuo1505’ with the grey correlation analysis. The results would provide theoretical support for the evaluation of comprehensive quality and screening of fresh waxy corn variety.

     

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