动植物油脂种类鉴别及其碘值测定的近红外光谱方法  

Classification of Animal and Vegetable Oils or Fats and Determination of Their Iodine Values by Near-Infrared Spectrometry

作　　者：程欲晓[1] 咸洋[2] 马腾洲[1] 周宇艳[1] 茅晔辉[1] 

机构地区：[1]上海出入境检验检疫局,上海200135 [2]上海材料研究所,上海200437

出　　处：《理化检验（化学分册）》2013年第12期1405-1409,共5页Physical Testing and Chemical Analysis(Part B:Chemical Analysis)

摘　　要：提出了用近红外光谱法对动植物油脂作种类鉴别并测定其碘值。用化学方法测定了碘值分布在较宽广范围的5种油脂,即牛羊油、蓖麻油、棕榈仁油、棕榈硬脂和椰子油的碘值作为基础数据,将所得数据与近红外光谱法数据通过偏最小二乘回归法(PLSR)进行运算,建立了动植物油脂碘值的近红外光谱模型,并采用距离匹配法对动植物油脂种类进行快速鉴别。试验表明:采用PLSR建立的模型准确性最高,所得预测值与真实值有较好的线性关系,决定系数达0.999 6,验证标准偏差为0.875gI/100g。方法用于20个未知样品分析,所得碘值的预测值与化学法测定值相符,预测值的相对误差小于7%。Near infrared spectrometry （NIRS） was applied to classification of animal and vegetable oils or fats and determination of their iodine values. Iodine values of 5 kinds of oils or fats （i. e. , fat of cow and sheep, castor oil, palm kernel oil, palm stearin and cocoanut oil） which here their iodine values distributed in a wide range, were determined by the chemical method and taken as the basic data. The data together with their NIRS data were treated by the algorithm of partial least square regression （PLSR） and NIRS model of animal and vegetable oil or fat was established, which was used for rapid classification of animal and vegetable oils or fats by the method of distance matching. It was shown that highest accuracy was attained by the model established by PLSR, and good linear correlationship was obtained between predicted values and substantial values, giving determinant coefficient of 0. 999 6 and RMSECV of 0. 875 gI/100 g. In the analysis of 20 unknown samples, predicted iodine values obtained were found to check quite well with the values obtained by the chemical method, the relative deviation of the predicted values were less than 70%.

关 键 词：近红外光谱法 偏最小二乘回归法 动植物油脂 碘值 种类鉴别 

分 类 号：O657.3[理学—分析化学]