LF-NMR结合化学模式识别鉴别油脂种类及餐饮废弃油脂  

Classification of Edible Vegetable Oils and Discrimination of Catering Waste Oils by LF-NMR Combined with Chemometrics Method

作　　者：毛锐[1] 王欣[1] 史然[1,2] MAO Rui WANG Xin SHI Ran(School of Medical Instrument and Food Engineering, University of Shanghai for Science and Technology, Shanghai 200093, China China Agricultural University, Beijing 100083, China)

机构地区：[1]上海理工大学医疗器械与食品学院,上海200093 [2]中国农业大学食品科学与营养工程学院,北京100083

出　　处：《分析测试学报》2017年第3期372-376,共5页Journal of Instrumental Analysis

基　　金：国家自然科学基金项目(NSFC31201365);上海市科委重点攻关项目(11142200403);上海市教委科研创新项目(11YZ109)

摘　　要：应用主成分分析(Principal component analysis,PCA)和聚类分析法(Cluster analysis,CA)对9种(27个)常见食用植物油及100个餐饮废油的低场核磁共振(Low-field nuclear magnetic resonance,LF-NMR)(T2)弛豫特性数据进行分析。结果表明:在正常食用油种类区分方面,主成分分析的效果较优,9种食用油在主成分分布图上按种类正确分组,边界清晰。而在正常食用油与餐饮废油的区分方面,聚类分析效果较优,引入30个待测样本后,聚类分析(127个样品,欧式距离=5)的正确率为94.49%,分析误判率为5.51%,分组效果良好。LF-NMR结合化学模式识别可实现对油脂种类及餐饮废弃油脂的鉴别。To establish an effective analysis method for evaluating the quality of edible oil is of great significance to ensure the safety of edible oil market.Principal component analysis（PCA）and cluster analysis（CA）were used to analyze the low field nuclear magnetic resonance（LF-NMR） T2 relaxation characteristics of 9 kinds of normal edible oil and 100 catering waste oil samples.The results indicated that good classification of refined edible oil according to their vegetable types could be achieved by PCA,and the distributions of different vegetable oils on the PCA plot have clear boundaries.While for the discrimination of authentic vegetable oil and the catering waste oil,good identification results could be achieved by CA（Euclidean distance=5）.After the introduction of 30 testing samples,the overall correct classification rate was still as high as 94.49%,and the misjudgment rate was only 5.51%.Therefore,LF-NMR combined with chemometrics method is feasible for rapid classification of edible vegetable oils and discrimination of catering waste oils.

关 键 词：低场核磁共振(LF-NMR) 食用油 餐饮废油 主成分分析(PCA) 聚类分析(CA) 

分 类 号：O482.532[理学—固体物理] TG174.481[理学—物理]