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基于核磁共振氢谱及偏最小二乘判别分析法的红木快速识别模型的建立与应用
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作者单位
陈碧莹,廖世莉,吴霞,冯毅凡 广东药科大学中心实验室 
基金项目:广东省林业厅2016年资助项目(2130299)
中文摘要:以核磁共振技术为基础,采用核磁共振氢谱(1H NMR)对奥氏黄檀、巴里黄檀、交趾黄檀、刺猬紫檀、大果紫檀和檀香紫檀6类国标红木及胶漆树、染料紫檀2类混淆品的甲醇超声提取液进行检测分析,并结合聚类分析法、主成分分析法(PCA)和偏最小二乘判别分析法(PLS-DA)等模式识别方法对其进行快速鉴别。结果显示,利用PLS-DA法建立的模型前3个主成分累积贡献率达79%,能将国标红木与混淆品进行有效区分,且能大致区分不同种类的国标红木。该方法快速、高效,在红木快速鉴别分析中具有较大的潜力。
中文关键词:红木  核磁共振  模式识别  偏最小二乘判别分析
 
Study of Rapid Classification Model of Sandalwoods Based on Proton Nuclear Magnetic Resonance and Partial Least Squares-Discriminant Analysis
Abstract:A rapid method for the identification of sandalwoods was developed based on proton nuclear magnetic resonance(1H NMR)with pattern recognition such as clustering analysis,principal component analysis(PCA)and partial least squares-discriminant analysis(PLS-DA)to build the models of identification.The samples included 6 species of sandalwood,i.e.Dalbergia oliveri,Dalbergia bariensis,Dalbergia cochinchinensis,Pterocarpus erinaceus,Pterocarpus macrocarpus and Pterocarpus santalinus,and 2 adulterants of sandalwood such as Gluta sp.and Pterocarpus tinctorius.After ultrasonic treatment in MeOD,the extracts were determined by 1H NMR.Results showed that the contribution of first three principal components derived from the PLS-DA model was added up to 79%.Except that group Dalbergia cochinchinensis interacted with group Dalbergia oliveri and group Pterocarpus santalinus,respectively,the other groups could be separated from each other.Obviously,the adulterants could be easily distinguished from the sandalwoods by this method.Therefore,the method was rapid and high sensitive in the distinguishment of adulterants,and showed a great potential in the identification of different species of sandalwood.
Key Words:sandalwood  nuclear magnetic resonance(NMR)  pattern recognition  partial least squares-discriminant analysis(PLS-DA)
引用本文:陈碧莹,廖世莉,吴霞,冯毅凡.基于核磁共振氢谱及偏最小二乘判别分析法的红木快速识别模型的建立与应用[J].分析测试学报,2019,(2):134-140.
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