Chemometric tools (PLS) with variable selection (iPLS, siPLS, UVE and GA), associated with near infrared (NIR) and mid infrared (MIR) spectroscopy, were applied for the determination of sulfur content (wt %) in petroleum derivatives. The evaluation of the models was conducted by the determination and analysis of the following requirements: coefficient of determination (R 2 ); the curve obtained by plotting the predicted versus measured values; and also the cross-validation and prediction errors.The developed models presented in this work had satisfactory results, demonstrating that both NIR and MIR techniques, combined with chemometric tools, can be used to determine the sulfur content in petroleum fractions, with LOD and LOQ from 0.0234 and 0.0781 respectively. All variable selection techniques improved the predictive ability of the mode when compared with the full-spectra model, except the UVE method that showed a better performance only when associated with MIR data.

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