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作 者:肖轲 苏东林 李志坚 尚雪波 XIAO Ke;SU Dong-lin;LI Zhi-jian;SHANG Xue-bo(Hunan Agricultural Products Processing Institute,Changsha,Hunan 410125,China;Innovation Team of Agricultural Product Quality and Safety Risk Assessment and Nutritional Function Evaluation,Changsha,Hunan 410125,China)
机构地区:[1]湖南省农产品加工研究所,湖南长沙410125 [2]农产品质量安全风险评估与营养功能评价创新团队,湖南长沙410125
出 处:《食品与机械》2019年第11期52-57,共6页Food and Machinery
基 金:湖南省重点研发计划项目(编号:2016NK2181);湖南省农业科技创新资金项目(编号:2019JG01-12)
摘 要:对3个生产基地8个晚籼品种的24份稻米的蛋白质和氨基酸组成进行了测定。以FAO/WHO氨基酸标准模式为参考,利用改进层次分析法与灰色关联度分析相结合的方法建立稻米蛋白质综合评价模型,并对评价模型用于评价蛋白质营养价值的可行性进行了验证。结果显示,不同基地及不同品种间稻米蛋白质品质存在显著性差异(P<0.05);加权灰色关联度法与PER、NPR的相关系数r分别为0.959(P=0.003),0.974(P=0.001)。表明加权灰色关联度与蛋白质生物学指标高度相关,能够较为科学、有效地表征稻米蛋白质的营养品质。The protein and amino acid composition of 24 rice samples from 8 late indica varieties in three production bases were determined.With FAO/WHO provisional pattern of amino acids as reference,a comprehensive evaluation model for rice protein was established by combining modified analytic hierarchy process(AHP)with grey correlation analysis,and the feasibility of the evaluation model in evaluating the nutritional value of protein was verified.The results showed that the quality of rice protein was significantly different among different bases and varieties(P<0.05).The correlation coefficient r of the weighted grey correlation method with PER and NPR was 0.959(P=0.003)and 0.974(P=0.001)respectively.The results demonstrate that the weighted grey correlation degree is highly correlated with biological indexes of protein quality,which can characterize the nutritional quality of rice protein scientifically and effectively.
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