摘要
地沟油事件是中国近期发生的严重食品安全事故,而针对地沟油的检测目前尚无非常有效的方法报道.本研究对60种市售植物油和地沟油样品分别进行了核磁H谱测定,建立了12个鉴别指标,采用聚类分析技术对样品进行聚类分析,并将样品分为8大类,建立了判别函数.将未知样品的1H NMR数据代入判别函数,可检测和判别未知油的来源和品质.将该方法应用于两次盲测共69个样品,结果显示,两次盲测的正确率分别为91.9%和93.8%,可作为食用油品质检测的重要参考.
Illegal cooking oil incident is a serious food safety problem happened in China recently. There are still no efficient methods for illegal cooking oil identification. In this paper, 60 kinds of oils were detected by ^1HNMR, and 12 identification indicators were found. Based on those 12 fingerprintings, 60 kinds of oils could be divided into 8 categories by using cluster analysis. According to the 8 categories, discriminant function was established. When the unknown sample's 1H NMR data were put into those functions, the discriminant analysis of the unknown samples could be done to identify the origin of the unknown oil samples. This method was applied twice in blind tests, and the results showed that the correct rate of the two blind tests were 91.9% and 93.8% respectively.
出处
《中国科学:化学》
CAS
CSCD
北大核心
2013年第5期558-567,共10页
SCIENTIA SINICA Chimica
基金
国家自然科学基金(20877099
20972183
21272263)
北京大学天然药物及仿生药物国家重点实验室开放基金(K20120201)
中国科学院计算地球动力学重点实验室开放基金课题(006)
中国科学院研究生院课题基金(O8JT011J01)
国家十二五计划支撑项目(2012BAI37B03)的资助
关键词
地沟油
1HNMR
指纹图谱
聚类分析
判别分析
illegal cooking oil, 1H NMR, fingerprints, cluster analysis, discriminant analysis