电子鼻技术在芝麻油品牌识别及掺假鉴伪中的应用

Research on brand and adulteration identification of sesame oil by electronic nose analysis

探讨电子鼻在芝麻油品牌识别及掺假鉴伪中应用的可行性。以芝麻油纯品及不同掺假比例的芝麻油样品等为研究对象,结合电子鼻传感器分析技术及偏最小二乘回归分析等数据处理技术对结果图谱进行解析。结果显示:电子鼻的雷达图及负荷分析均表明传感器对样品有较好的信号响应,通过PCA分析建立的特征图谱可有效区分鉴别被试样品,通过PLS模型可较好预测样品掺假比例。因此,电子鼻可作为非标技术用于芝麻油的品牌识别及掺假鉴伪。

To investigate the feasibility of utilizing electronic nose in analysis of discrimination brand and adulter- ate of sesame oil. Methods： Pure sesame oil and different adulterated proportion of sesame oil were analyzed by elec- tronic nose. The data were analyzed by PCA and PLS etc. Results： The radar graph and loading analysis proved that electronic nose sensor had excellent response signals. The feature map established by PCA could identify samples ef- fectively. PLS model could predicate adulterated proportion of sesame oil. Conclusion： The electronic nose analysis technology could be regarded as non-standard technology in identifying the discrimination brand and adulteration of sesame oil.