基于低场核磁共振技术的大米品种快速鉴别 |
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引用本文: | 姜潮,韩剑众. 基于低场核磁共振技术的大米品种快速鉴别[J]. 食品工业科技, 2012, 33(6): 64-66 |
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作者姓名: | 姜潮 韩剑众 |
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作者单位: | 浙江工商大学食品质量与安全系,浙江省食品安全重点实验室,浙江杭9,I,l310035 |
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基金项目: | 浙江省“重中之重”项目子项目(ZZ05-07) |
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摘 要: | 为探索大米无损检测技术,提出了一种基于低场核磁共振技术的快速、无损鉴别大米品种的新方法。以不同地域的大米为低场核磁共振检测对象,利用主成分分析法(PCA)分析处理Carr-Purcell-Meiboom-Gill(CPMG)序列的检测数据。实验结果表明,不同地域的大米在主成分得分图上可以得到很好的区分;说明所提出的方法具有很好的分类和鉴别作用,为大米的品种鉴别提供了一种新方法。
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关 键 词: | 低场核磁共振 大米 主成分分析 快速检测 |
Rapid discrimination method of varieties of rice by using LF-NMR technology |
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Affiliation: | JIANG Chao,HAN Jian - zhong* (Department of Food Quality and Safety,Zhejiang Gongshang University, Food Safety Key Lab of Zhejiang Province,Hangzhou 310035,China) |
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Abstract: | Based on the Low Field - Nuclear Magnetic Resonance(LF - NMR)technology,a new method to discriminate varieties of rice was proposed. Rice samples of different producing areas were tested by the CPMG sequence of LF - NMR. Principal Component Analysis(PCA)method was used to analyze and process the sample data. The results showed that:Rice samples of different producing areas were distinguished effectively on the plot of PCA score. The new method proposed was capable to discriminate the varieties of rice,which provided a new method to discriminate rice varieties. |
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Keywords: | LF - NMR rice PCA rapid detection |
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