Analysis of the effect of fluorescence noise (“shot noise”) in the Raman spectra of gasoline C samples using LPA2v and PCA Alexandre Antonio Barelli, Wallace Alfredo Travassos Jr., Landulfo Silveira Jr., Marcos Tadeu T. Pacheco

Abstract

Abstract: The work aims to evaluate the effect of fluorescence noise (photon noise or “shot noise”) in the classification of spectra of specimens of standard and adulterated gasoline obtained in gas stations in the region of Santos/SP. 15 samples were obtained from different filling stations, 5 samples without adulteration and 10 samples containing adulteration (higher concentration of ethanol or presence of organic solvent). The Annotated Paraconsistent Logic techniques with annotation of two values (LPA2v) and the principal component analysis (PCA) with discriminant analysis were used in an attempt to verify to what extent the influence of different levels of fluorescence noise would impact the classification of the samples. The results demonstrated that the fluorescence noise impacts the classification of the samples, where lower noise levels (up to 100 counts) were correctly classified by LPA2v, while higher noise levels (200 counts) promoted a better classification for the PCA technique.