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作 者:何瑶[1] 郑彦婕[2] 邓伶莉[1,3] 许晶晶[1] 沈桂平[1] 杨万颖[2] 董继扬[1]
机构地区:[1]厦门大学电子科学系,福建省等离子体与磁共振研究重点实验室,福建厦门361005 [2]深圳市计量质量检测研究院食品检测所,广东深圳518055 [3]东华理工大学信息工程学院,江西南昌330000
出 处:《食品工业科技》2016年第12期80-84,171,共6页Science and Technology of Food Industry
基 金:国家自然科学基金(81371639;31372546);福建省自然科学基金(2015Y0032;2014J01247和2015J0102);中央高校基本科研业务费(20720150018)
摘 要:结合核磁共振氢谱(^1H NMR)技术和多变量统计分析方法,研究五常稻花香米的掺假鉴别方法。采集稻花香米与掺假样品的^1H NMR谱,分析它们的化合物组成模式的差异,分别建立基于1H NMR谱和基于20种主要成分半定量数据的掺假鉴别模型。结果表明:五常稻花香米与掺假大米在α-葡萄糖、淀粉、蔗糖、甜菜碱、β-葡萄糖、胆碱、天冬酰胺、天冬氨酸、琥珀酸、谷氨酸、乙酸、γ-氨基丁酸、丙氨酸、苏氨酸、异亮氨酸和缬氨酸等16种主要成分上存在显著差异(p〈0.05);基于-1H NMR谱的模型预测准确率为83.5%,而基于20种半定量化合物的模型预测准确率为70.1%。Authenticity identification of Daohuaxiang rice was studied by combing of proton nuclear magnetic resonance(-1H NMR) and multivariate analysis in this paper.-1H NMR spectra were acquired for Daohuaxiang and adulteration samples. The compositional patterns of Daohuaxiang and adulteration samples were analyzed using their -1H NMR spectra.Then two Daohuaxiang identification models were built based on -1H NMR spectroscopy and semi- quantitative information of 20 compounds of the rice samples respectively. It turned out that there were 16 significantly different( p〈0.05) compounds between Daohuaxiang and adulteration rice including alpha- glucose,starch,sucrose,betaine,beta- glucose,choline,asparagine,aspartate,succinate,glutamate,acetate,gamma aminobutyric acid( GABA),alanine,threonine,isoleucine,and valine. The predictive accuracies were 83.5% and70.1% for -1H NMR spectroscopy- based identification model and semi- quantitative information- based identification model respectively.
关 键 词:五常稻花香米 核磁共振波谱 掺假鉴别 多变量统计
分 类 号:TS211.7[轻工技术与工程—粮食、油脂及植物蛋白工程]
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