基于近红外光谱的纯花生油掺伪快速鉴别方法研究

针对目前国内缺乏快速鉴别花生油掺伪鉴别技术的现状,提出基于近红外光谱的纯花生油掺伪快速鉴别方法.实验分别配制了掺入大豆油、菜籽油、棕榈油和调和油的4类掺伪花生油样品共40个,纯花生油样品5个,采集样品近红外全谱,通过支持向量机技术建立纯花生油掺伪鉴别模型.结果表明,选取径向基函数为支持向量机核函数,通过网格搜索和k折校验法确定核参数γ为1,惩罚参数c为1 024,建立纯花生油掺伪鉴别模型的识别率和预测率均达到100%,基于近红外光谱的花生油掺伪快速检测技术具有较好的可行性和实用性.

Study on Identifying Peanut Oil Adulteration Based on Near Infrared Spectroscopy

A new method based on near infrared spectroscopy technology was established to detect peanut oil adulteration quickly.Four kinds of adulteration samples of soybean oil,rapeseed oil,palm oil and blend oil and five samples of pure peanut oil were collected for detection.Near Infrared spectrums of the samples were normalized as the input variables to SVM.The kernel function of SVM was RBF.The best combination of penalty parameter c and RBF kernel parameter γ were selected by gird search and K –fold cross validation(c=1 024,γ=1).The recognition ratio and prediction ratio were 100%.The experiments showed that the fast detection technology based on NIR and SVM was practicable for identifying peanut oil adulteration.