comparison processors spectral analysis concentrations for aromatic compounds using the application of mathematical models

Prolonged exposure to gases in enclosed spaces, can cause health problems that may not be easily eliminated, several methods have been developed to determine the concentration of aromatic hydrocarbons. but these methods have certain limitations, which complicate the titration. regression-based methods can be used using the software and applying numerical methods to the data obtained to determine the concentration of gases. the main idea of this paper: is to keep up with the ideal balance, and limit the deficiency of necessary to obtained from spectroscopic data, and the effect of mutilations presented by different noise decreases and autofluorescence background elimination algorithms was determined from the comparison data. and these changes ratios were in remove background fluorescence (benzene, toluene, xylene), for the (polyfit) method they were 3% and 5% and 2%, and for the (modpoly) method they were 1% and 2% and 2%, and for the gas processor method, they were 2% and 5% and 2%, respectively. so, it was noticed it has been noticed here that the proposed method (gasesprocessors) is better in terms of filter performance and autofluorescence background removal compared to other methods.