利用拉曼光谱技术分别研究了植物油和动物脂肪油的光谱特性.通过自适应迭代惩罚最小二乘法的基线校正方法,对所测得的拉曼光谱进行了数据处理,获得了它们的微观信息.进而通过选取其中部分油的拉曼光谱,进行了植物油的光谱、动物脂肪油的光谱以及动物脂肪油和植物油之间的光谱比较和分析,从而发现了多种植物油光谱(包括多个频移范围内的频移大小以及强度大小)的差异,也发现了动物脂肪油与植物油的拉曼光谱间的差异.不但提供了辨识不同食用油的光谱依据,也证明了拉曼光谱是一种识别不同油品的有效方法。

The spectral characteristics of different kinds of oil,either from plant seeds or animal fat,were studied with Raman spectroscopy.The experimental data were processed with the adaptive iteratively reweighted penalized least squares method to realize baseline correction,and provide evident information about their microscopic world.The spectra were analyzed and compared with each other in three parts:the Raman spectra comparison among different samples of plant oils,the analysis of the animal fat and the comparison between plant oils and the animal fat.The differences among the oils were observed in the analysis,including Raman shift and Raman intensity differences.This study not only yields the spectral basis for distinguishing or recognizing the different edible oils,but also confirms that Raman spectroscopy is an effective tool for identifying different oils.