In the present work, a novel analytical procedure by integrating principal coordinate analysis (PcoA) with excitation-emission matrix fluorescence (EEMF) spectroscopy was introduced for discriminating the commercial gasoline fuels. The PcoA technique involved analysis of the distance matrices containing the dissimilarity information and it can serve as an efficient tool for capturing the major as well as subtle compositional differences among the analyzed commercial gasoline samples. The utility of the proposed PcoA assisted EEMF analytical procedure was successfully tested by discriminating gasoline fuel samples belonging to five different industrial brands. The obtained results clearly showed that combination of PcoA and EEMF could provide a simple, sensitive and economical analytical procedure to carry out the rapid analyses of the gasoline samples belonging to different brands.

在本工作中，引入了一种通过将主坐标分析（PcoA）与激发发射矩阵荧光（EEMF）光谱相结合的新颖分析程序来区分商用汽油燃料。PcoA技术涉及对包含不相似性信息的距离矩阵的分析，并且它可以用作捕获分析的商业汽油样品之间主要和细微组成差异的有效工具。通过区分属于五个不同工业品牌的汽油燃料样品，成功测试了拟议的PcoA辅助EEMF分析程序的实用性。获得的结果清楚地表明，PcoA和EEMF的结合可以提供一种简单，