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Research on the Detection of Adulteration of Virgin Camellia Oil Based on Dielectric Spectroscopy Method
Author(s): Zhang Bing, Zhang Yingqiang, Wei Jiali, Wang Xiaoping
Pages: 111-
115,121
Year: 2012
Issue:
12
Journal: Journal of the Chinese Cereals and Oils Association
Keyword: 介电谱法; 油茶籽油; 主成分分析法; 偏最小二乘法; 温度特性;
Abstract: 为检测油茶籽油的掺伪程度,对5种食用油及两组油茶籽油掺杂混合油进行了介电谱测量.运用主成分分析法(PCA)开展了5种食用油的区分分析,结果表明PCA法不仅能够显著区分单不饱和脂肪酸(MUFA)型和多不饱和脂肪酸(PUFA)型食用油,对于同一类型的不同油品也具有良好的区分度.运用基于交叉验证的偏最小二乘法(PLS),对两种油茶籽油掺杂混合油的介电谱数据建立定量分析模型,经外部验证集验证,混合油的预测均方根误差(RMSEP)小于2.10%,决定系数(R2)大于0.998 9.最后进行了油茶籽油介电谱的温度特性测试,给出了温度补偿的相应算法.试验结果表明,介电谱法为食用油的掺伪鉴别和纯度检测提供了一种快捷、准确的方法.
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