基于近红外拉曼光谱的山茶油掺假检测技术研究

Study on the Adulteration Detection of Camellia Oil Based on Near-infrared Raman Spectroscopy

以玉米油、稻米油和大豆油作为掺假样品掺入山茶油中,得到山茶油的二元掺假样品和三元掺假样品,并对所有样品进行拉曼光谱检测。通过将拉曼光谱与线性判别分析法相结合成功实现了山茶油的掺假鉴别。结果表明:拉曼光谱结合主成分分析法可以有效区分不同种类的植物油;拉曼光谱结合主成分分析-线性判别分析法能够有效鉴别山茶油掺假,在山茶油二元掺假模型中,训练样品的分类准确率和预测样品的判别准确率均为100%;在山茶油三元掺假模型中,训练样品的分类准确率为99.2%,预测样品的判别准确率为96.8%。

In this study,binary and ternary adulterated samples of camellia oil were obtained by adding corn oil,rice oil and soybean oil into camellia oil at different concentrations,and the near-infrared Raman spectra of all samples were measured.The adulteration of camellia oil was successfully identified by combining Raman spectroscopy with linear discriminant analysis.The results show that Raman spectroscopy combined with principal component analysis can effectively distinguish different kinds of vegetable oils,and identify the camellia oil adulteration.In the binary adulteration model of camellia oil,the classification accuracy of training samples and the discriminant accuracy of predicted samples are both 100%.In the ternary adulteration model of camellia oil,the classification accuracy of training samples is 99.2%,and the discrimination accuracy of predicted samples is 96.8%.