摘要
利用近红外技术结合偏最小二乘法建立掺煎炸动物油植物油的定量模型。对100个植物油样本,通过近红外光谱仪扫描获得从10000~4000 cm-1的光谱信息。运用TQ-Analyst软件进行计算,选择全谱区,结合偏最小二乘法(PLS)算法,得到光谱最佳预处理方法为一阶导加Norris平滑。进行内部交叉验证,相关系数r为0.9920,预测误差为3.11,且预测结果与真实值可通过t检验,说明模型是可行的。
A quantitative model of vegetable oil adulterated with fried animal oil has been established based on near infrared reflectance(NIRS)and chemometrics.A spectroradiometer was used for collecting spectra collected in 10000~4000 cm-1.The NIR spectra were collected from 100 samples.By using the TQ-Analyst,the best pretreatment method was obtained while choosing the total spectra area combined with PLS.The best pretreatment method is the first derivative combined with Norris derivative filter.The model is feasible,with the Corr.Coeff.of 0.9920,RMSEP of 3.11,and the result of t-test is passable while the validation method is cross validation.In this paper,a feasible method is established to detect vegetable oil adulterated with fried animal oil.
作者
李娟
黄木花
燕一波
梁漱玉
LI Juan;HUANG Mu-hua;YAN Yi-bo;LIANG Shu-yu(Zhangzhou City University,Zhangzhou,Fujian 363000,China;College of Food Science and Engineering,Central South University of Forestry and Technology,Changsha,Hunan 410000,China)
出处
《食品与机械》
北大核心
2020年第6期99-102,共4页
Food and Machinery
基金
福建省教育厅A类科研项目(编号:JZ181191)。
关键词
地沟油
掺假
近红外
偏最小二乘法
植物油
无损检测
waste oil
adulterate
near-infrared reflectance spectroscopy(NIRS)
Partial least-squares method(PLS)
vegetable oil
non-destructive testing
