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基于氢核磁共振技术和化学计量学方法鉴别蜂蜜品种
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作者单位
宋晓莹,陈兰珍,李熠,周金慧,陈雷,辛曼曼 1.中国农业科学院蜜蜂研究所2.农业农村部蜂产品质量安全控制重点实验室3.农业农村部蜂产品质量安全风险评估实验室4.中国科学院武汉物理与数学研究所 
基金项目:国家自然科学基金项目(31772070);国家特色农产品风险评估专项(GJFP2018010);中国农业科学院创新工程项目(CAAS-ASTIP-2018-IAR);国家蜂产业技术体系(CARS-45-KXJ10)
中文摘要:利用氢核磁共振(1H NMR)技术结合化学计量学方法对不同品种的蜂蜜进行鉴别。采集33个洋槐蜜、48个油菜蜜、63个荔枝蜜的核磁指纹图谱,对数据进行不同方式的预处理后,采用有监督的偏最小二乘判别分析(PLS-DA)和正交偏最小二乘判别分析(OPLS-DA)建立判别模型。结果表明,不同的数据预处理方式对模型解释能力和预测能力的影响较大,自标度化(UV)模式更适于蜂蜜核磁数据的分析。建立的OPLS-DA模型可有效地分离判别3种蜂蜜,所建模型对3种蜂蜜的判别解释能力达95.8%,对未知样本的预测能力为90.5%。因此,利用1H NMR结合OPLS-DA方法可有效地实现不同品种蜂蜜的快速鉴别。
中文关键词:氢核磁共振技术(1H NMR)  化学计量学  蜂蜜  品种鉴别
 
Classification of Chinese Honeys of Different Floral Origins by 1H NMR Combined with Chemometrics
Abstract:1H nuclear magnetic resonance(1H NMR) spectroscopy combined with chemometrics was developed for the identification and classification of Chinese honey of different floral origins.33 acacia honeys,48 rape honeys and 63 lychee honeys were analyzed by NMR,and the NMR data were preprocessed in different modes.Supervised partial least squares discriminant analysis(PLS-DA) and orthogonal partial least squares discriminant analysis(OPLS-DA) were both used to set up discriminant models by extracting the useful information from NMR signals.Results showed that different data preprocessing methods have significant influences on the interpretation and prediction abilities of the models,and the unit variance(UV) scaling was more suitable for the analysis of honey NMR data than the others.The OPLS-DA model could effectively discriminate three kinds of honey of different floral origins.The explanation and prediction abilities based on the OPLS-DA model were 95.8% and 90.5%,respectively.Therefore,1H NMR spectroscopy combined with chemometric could effectively realize the rapid and accurate identification of Chinese honeys of different floral origins.
Key Words:1H nuclear magnetic resonance technology(1H NMR)  chemometrics method  honey  floral origins identification
引用本文:宋晓莹,陈兰珍,李熠,周金慧,陈雷,辛曼曼.基于氢核磁共振技术和化学计量学方法鉴别蜂蜜品种[J].分析测试学报,2019,(3):355-359.
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