Study on gutter oils pattern recognition
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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。
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关键词:
- 地沟油; /
- 气相色谱; /
- 主成分分析; /
- 偏最小二乘判别分析; /
- 模式识别;
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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