| 近红外光谱技术在食用油种类鉴别及定量分析中的应用 |
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| 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(11):149-151. |
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| 作者姓名： | 刘翠玲 位丽娜 赵薇 孙晓荣 |
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| 作者单位： | 北京工商大学计算机与信息工程学院; |
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| 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) |
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| 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。
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| 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 |
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| 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(11):149-151. |
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| Authors: | LIU Cuiling WEI Lina ZHAO Wei SUN Xiaorong |
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| Affiliation: | (College of Computer and Information Engineenng, Beijing Technology and Business University, 100048, Beijing) |
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| 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. |
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| Keywords: | nearinfrared spectroscopy edible oil speciesidentification quantitative analysis |
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