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中国精品科技期刊2020
骆姗, 刘芸, 张培, 陈小芬, 刘晔玮, 邸多隆, 桑延永. 地沟油模式识别技术的研究[J]. 食品工业科技, 2013, (16): 53-56. DOI: 10.13386/j.issn1002-0306.2013.16.038
引用本文: 骆姗, 刘芸, 张培, 陈小芬, 刘晔玮, 邸多隆, 桑延永. 地沟油模式识别技术的研究[J]. 食品工业科技, 2013, (16): 53-56. DOI: 10.13386/j.issn1002-0306.2013.16.038
Study on gutter oils pattern recognition[J]. Science and Technology of Food Industry, 2013, (16): 53-56. DOI: 10.13386/j.issn1002-0306.2013.16.038
Citation: Study on gutter oils pattern recognition[J]. Science and Technology of Food Industry, 2013, (16): 53-56. DOI: 10.13386/j.issn1002-0306.2013.16.038

地沟油模式识别技术的研究

Study on gutter oils pattern recognition

  • 摘要: 借鉴中药指纹图谱的研究思路,在优选的色谱条件下,采用气相色谱法对16个样品进行分析,利用相似度软件筛选出12个共有峰,通过方法学验证,12个共有峰精密度、稳定性的RSD分别小于2.6%和6.1%。在此基础上,采用主成分分析(PAC)和偏最小二乘判别(PLS-DA),对16个样品的12个共有峰进行化学计量学研究,建立地沟油模式识别模型。利用所建立的地沟油模式识别模型对16个样品(7个正品油,9个地沟油)进行判别分析,结果表明:所建立的模式识别模型能较好的区分地沟油和正品油。本方法仅使用气相色谱(GC),结合化学计量学分析,简单快速,便于推广,可用于地沟油的快速鉴别。 

     

    Abstract: Based on the strategy of Chinese tradition medicine fingerprint,Gas chromatography(GC) fingerprint with 16 oil samples,including 7 kinds of edible oil and 9 kinds of illegal cooking oil,was established,in which the RSD of relative peak areas and retention time of 12 common peaks in precision and repeatability were less than 2.6% and 6.1%,respectively. Then,illegal cooking oil discrimination model was established,by processing data of 12 common peaks from 16 samples in principal component analysis (PAC) and partial least squares discriminant analysis (PLS -DA ). Results showed that the method was pattern recognition for identification edible oil and illegal cooking oil. This method was simple,fast,efficient and convenient popularization;it could be used for rapid identification of illegal cooking oil by only using gas chromatography (GC) combined with chemometrics analysis.

     

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