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。
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.
出处
《食品工业科技》
CAS
CSCD
北大核心
2012年第6期64-66,共3页
Science and Technology of Food Industry
基金
浙江省“重中之重”项目子项目(ZZ05-07)
作者简介
姜潮（1988-），男，硕士研究生，研究方向：食品质量与安全。
