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中国精品科技期刊2020
罗红霞, 王丽, 句荣辉, 贾红亮, 潘妍, 林少华, 朱建晨. 不同品种谷子淀粉的品质特性及主成分分析[J]. 食品工业科技, 2018, 39(24): 11-17. DOI: 10.13386/j.issn1002-0306.2018.24.002
引用本文: 罗红霞, 王丽, 句荣辉, 贾红亮, 潘妍, 林少华, 朱建晨. 不同品种谷子淀粉的品质特性及主成分分析[J]. 食品工业科技, 2018, 39(24): 11-17. DOI: 10.13386/j.issn1002-0306.2018.24.002
LUO Hong-xia, WANG Li, JU Rong-hui, JIA Hong-liang, PAN Yan, LIN Shao-hua, ZHU Jian-chen. Quality Characteristics and Principal Component Analysis of Different Varieties of Millet Starch[J]. Science and Technology of Food Industry, 2018, 39(24): 11-17. DOI: 10.13386/j.issn1002-0306.2018.24.002
Citation: LUO Hong-xia, WANG Li, JU Rong-hui, JIA Hong-liang, PAN Yan, LIN Shao-hua, ZHU Jian-chen. Quality Characteristics and Principal Component Analysis of Different Varieties of Millet Starch[J]. Science and Technology of Food Industry, 2018, 39(24): 11-17. DOI: 10.13386/j.issn1002-0306.2018.24.002

不同品种谷子淀粉的品质特性及主成分分析

Quality Characteristics and Principal Component Analysis of Different Varieties of Millet Starch

  • 摘要: 为了分析不同品种谷子淀粉品质特性的差异情况,本文以13个品种谷子淀粉的基本特性、质构特性、碘蓝值、胶稠度、透光率等品质特性为研究对象,采用主成分分析对13个品种淀粉特性进行分析及综合评价。结果表明,不同品种淀粉很多品质特性差异显著(p<0.05),直链淀粉含量与凝胶的硬度和碘蓝值呈显著的负相关(p<0.05),与胶稠度呈显著的正相关(p<0.05)。主成分分析提取前5个主成分的累积贡献率为89.825%,通过质构特性因子、淀粉提取效果因子、直链淀粉和胶稠度因子、水分因子和色泽因子等5个因子解释了原有14个指标的89.825%的信息,通过淀粉品质综合评价模型计算综合得分,评价较优的品种有冀谷40、网购样品和冀谷35。本研究为谷子淀粉的加工利用提供了理论依据。

     

    Abstract: To analyze the difference of millet starch quality among different varieties,the basic qualities,texture properties,iodine blue value,gel consistency and light transmittance were used as the research object. The characterisics and comprehensive evaluation were analyzed by principal component analysis. The results showed that many starch quality characteristics of different millet varieties had significant relationship with each other(p<0.05). The content of amylose between gel hardness and iodine blue value had significant negative correlation(p<0.05),and a significant positive correlation with gel consistency(p<0.05).The principal component analysis result showed that the first five components explained 89.825% of the starch quality. The 89.825% information was explained by texture factor,starch extraction ratio factor,amylose and gel consistency factor,water factor,and color factor. Through the comprehensive evaluation model of starch,the comprehensive score evaluation of the Jigu 40,online shopping sample,and Jigu 35 were better than that of others. This research provided a theoretical basis for the millet processing and utilization.

     

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