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Determination of gasoline origin by distillation curves and multivariate analysis

机译：通过蒸馏曲线和多元分析确定汽油来源

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Pattern recognition (PCA - principal component analysis) and classification (IDA - linear discriminant analysis) were employed to determine the origin of various samples of gasoline commercialized in the state of Minas Gerais, Brazil. With this in view, distillation curves were performed following ASTM D86 standard method, and PCA demonstrated that a small number of variables dominate the total data variability since the first three principal components (PCs) accounted for 87% of total variability. LDA was constructed using the origin declared in the invoices and the distances between groups were used to determine the similarity of the samples. Refineries REPLAN/REVAP presented the lowest distance value and REDUC/REGAP, the highest. About 80% of the samples, whose origins were not declared, were classified as belonging to the REGAP group, with 95% probability of correct classification.
机译：模式识别（PCA-主成分分析）和分类（IDA-线性判别分析）用于确定在巴西米纳斯吉莱斯州商业化的各种汽油样品的来源。有鉴于此，蒸馏曲线是按照ASTM D86标准方法进行的，而PCA表明，由于前三个主要成分（PC）占总变异性的87％，少量变量主导了总数据变异性。使用发票中声明的原产地构造LDA，并使用组之间的距离确定样品的相似性。炼油厂REPLAN / REVAP的距离值最低，而REDUC / REGAP的距离值最高。大约有80％的样本（其来源尚未宣布）被归类为REGAP组，正确分类的可能性为95％。

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