基于电子鼻技术的地沟油鉴别研究

Identification of trench oils based on electronic nose

目的:建立采用电子鼻技术鉴别地沟油的检测方法。方法:以市售的8个品种、94个正常植物油和23个精炼地沟油为样品,电子鼻采集气味信息,通过数据主成分分析(PCA)和线性判别分析(LDA)进行分析和判定。结果:8种正常植物油分别与精炼地沟油配对创建模式进行PCA和LDA分析的结果显示,8种正常植物油都可以与精炼地沟油有效区分。结论:电子鼻技术作为鉴别地沟油的一种新兴手段,值得更深入的探索和研究。

Objective： To identify trench oils from vegetable by electronic nose. Methods： The samples include 94 vegetable oils derived from 8 oil stuffs and 23 trench oils. Their smell information was collected by electronic nose, and the data were interpreted by principal component analysis （PCA） and linear discriminant analysis （LDA）. Results： All trench oils can be identified from each kind of vegetable oils whether the PCA or LDA was selected. Conclusion： As a new means of identification of trench oil, the electronic nose technology is worth further research.