首页> 外文期刊>Journal of the American Oil Chemists' Society >Authentication of edible vegetable oil and refined recycled cooking oil using a micro-UV spectrophotometer based on chemometrics.
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Authentication of edible vegetable oil and refined recycled cooking oil using a micro-UV spectrophotometer based on chemometrics.

机译:使用基于化学计量学的微紫外分光光度计对食用植物油和精制回收食用油进行鉴定。

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摘要

We have developed a new method to make a clear distinction between edible oil and refined recycled cooking oil by using a micro-ultraviolet spectrophotometer and analysis of spectra full data combined with principal component analysis (PCA) and cluster discriminant analysis (CDA). This method shows an excellent capability of distinguishing edible oil from refined recycled cooking oil, which is difficult to accomplish by previous methods using physical and chemical properties. Edible oils and refined recycled cooking oils have the different positions on the resulting plot of PCA and CDA. The oil samples are respectively concentrated relatively distribution and distinct from other kinds, with a certain amount of edge intersection between samples. But the edible oil and refined recycled cooking oil samples have a clear divisional interface. By the increase in sampling and the improvement of modeling, the edge intersection or overlap of commonality between samples can be reduced. Using this method, it is possible to determine qualitatively the identity of unknown samples.
机译:我们已经开发出一种新方法,通过使用微紫外分光光度计并结合主成分分析(PCA)和聚类判别分析(CDA)对光谱全数据进行分析,从而在食用油和精制回收食用油之间做出明确区分。该方法显示出将食用油与精制的循环食用油区分开的出色能力,而这是利用物理和化学特性的现有方法难以实现的。食用油和精制的回收食用油在PCA和CDA的结果图中具有不同的位置。油样分别集中相对分布且与其他种类不同,样品间有一定的边缘交会。但是食用油和精制的回收食用油样品具有清晰的分界面。通过增加采样和改进建模,可以减少样本之间的边缘交集或公共性重叠。使用此方法,可以定性确定未知样品的身份。

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