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近红外光谱技术在食用油种类鉴别及定量分析中的应用
引用本文:刘翠玲,位丽娜,赵薇,孙晓荣. 近红外光谱技术在食用油种类鉴别及定量分析中的应用[J]. 中国酿造, 2014, 0(11): 149-151
作者姓名:刘翠玲  位丽娜  赵薇  孙晓荣
作者单位:北京工商大学计算机与信息工程学院;
基金项目:北京市教委科技发展重点项目(KZ201310011012);北京市自然科学基金(4132008);北京市教委科技创新平台(PXM_2012_014213_000023)
摘    要:用近红外光谱技术与聚类分析方法相结合,建立了一种可用于鉴别食用油种类的快速鉴定模型。实验根据30个食用油的近红外光谱,建立了芝麻油-大豆油-花生油-玉米油定性识别的模型,模型的识别率和预测率可达到100%。根据40个芝麻油样品的近红外光谱建立芝麻油的酸价预测模型,且模型指标较好。可见近红外光谱技术在食用油快速检测方面有较好的应用前景。

关 键 词:近红外光谱技术  食用油  种类鉴别  定量分析

Application of near infrared spectrum technology in identification and quantitative analysis of edible oil species
LIU Cuiling,WEI Lina,ZHAO Wei,SUN Xiaorong. Application of near infrared spectrum technology in identification and quantitative analysis of edible oil species[J]. China Brewing, 2014, 0(11): 149-151
Authors:LIU Cuiling  WEI Lina  ZHAO Wei  SUN Xiaorong
Affiliation:(College of Computer and Information Engineenng, Beijing Technology and Business University, 100048, Beijing)
Abstract:U sing nearinfrared spectroscopy (N IS)com bining w ith clustering analysism ethod,a rapid identification m odelw hich can be used in edible oil identification w as set up. Experim ents based on 30 N IS of edible oil, and the qualitative identification of the m odel of sesam e oil-soybean oil-peanutoil-corn oilw asestablished.The recognition rate and forecastrate can reach 100% .B ased on N IS of40 sesam e oilsam ples,the acid value prediction m odelofsesam e oilw asestablished,and the index m odelw asbetter.V isible N IS technology had good application prospectin rapid detec-tion ofedible oil.
Keywords:nearinfrared spectroscopy  edible oil  speciesidentification  quantitative analysis
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