基于光谱技术的芝麻油掺伪定性分析研究  

Research on Qualitative Analysis Methods of Sesame Oil Adulteration Based on Spectroscopy

作　　者：位丽娜 刘翠玲[1] 赵琦[1] 戴月[1] 

机构地区：[1]北京工商大学,北京10048

出　　处：《食品研究与开发》2016年第8期148-152,共5页Food Research and Development

基　　金：北京市教委科技发展重点项目(KZ201310011012);北京市教委科技创新平台(PXM_2012_014213_000023);北京市自然科学基金(4132008)

摘　　要：采用近红外光谱和中红外光谱技术结合极限学习机算法建立芝麻油中掺入大豆油的定性分析模型。选取不同品牌、批次的芝麻油、大豆油配置90个掺伪样本与40个芝麻油样本做定性分析。设定极限学习机算法相关网络参数,比较近红外光谱和中红外光谱的定性模型识别结果,研究光谱检测方法的可行性和分类识别的准确率,为实现基于光谱检测技术的芝麻油掺伪快速辨别分析奠定理论和实践检验基础,抑制芝麻油掺伪情况的发生。Qualitative analysis with near-infrared and mid-infrared spectroscopy and extreme learning machine algorithm were used for discriminate sesame oil from adulterated sesame oil with soybean oil. Analyzing 90 adulterated samples which were prepared with sesame oil,soybean oil of different brands and batches and 40 sesame oil samples detected the adulteration.Set network parameters a limit of extreme learning machine algorithms,and compared the result of near-infrared and mid-infrared spectroscopy,and studied the feasibility of the spectrum detection method and classification accuracy,in order to make basis of theory and practical for the sesame oil adulteration of spectrum detection technology fast discrimination analysis,inhibition of sesame oil adulteration happening.

关 键 词：光谱技术 芝麻油掺伪 极限学习机算法 

分 类 号：TS225.11[轻工技术与工程—粮食、油脂及植物蛋白工程]