基于三维荧光特性的汽油聚类分析

应用三维荧光光谱法研究了90#、93#及97#3种汽油纯样品以及它们的相互掺杂样品的荧光特性。选取激发波长(λex)为330nm,发射波长(λem)在340～500nm间的荧光强度数据,用主成分聚类分析法作了研究。结果表明:所得的荧光数据分为三类,属90#汽油样品的数据为一类,处于第Ⅰ象限中;属97#汽油样品为第二类,处于第Ⅲ象限;属93#汽油样品为第三类,处于第Ⅳ象限。在第Ⅰ及第Ⅳ象限中的荧光数据又分为二类,一类为纯品油样,另一类为混杂油样。因此,根据聚类分析结果可方便地对不同标号的汽油加以区别。而且根据纯品汽油样品与混杂油样品的试验点之间的距离可推测油样中混杂组分量的多少。

Clustering Analysis of Gasoline Based on the 3-Dimensional Fluorescence Characteristic

Fluorescence characteristic of samples of pure 90#,93# and 97# gasoline as well as their intermixtures were studied by the 3-dimensional fluorescence spectrometry.The data obtained in the range of λem from 340 nm to 500 nm with λex at 330 nm were studied by principle component clustering analysis.It was found from the result that the fluorescence data were classified into 3 groups: gasoline samples with grade 90# were located in the 1st quadrant;samples with grade 97# in the 3rd quadrant;and samples with grade 93# in the 4th quadrant.In the 1st and 4th quadrant,the spectral data were subdivided into 2 groups,giving spectra of pure sample and samples of intermixtures.Hence,it was easy to differentiate grades of gasoline and pure gasoline from the intermixtures by the results of clustering analysis.Furthermore,based on the distances between locations of experimental sites of pure sample and intermixture sample,the amount of blended component could be deduced.