Technology, energy, agriculture transport AIC

Andrii SHTUTS – Candidate of Technical Sciences, Associate Professor of the Department of Electric Power Engineering, Electrical Engineering and Electromechanics, Vinnitsa National Agrarian University (3, Solnechna str., Vinnitsa, 21008, Ukraine, email: shtuts1989@gmail.com, https://orcid.org/0000-0002-4242-2100). 
Yaroslav SAFTYUK – Postgraduate Student at the Department of Electric Power Engineering, Electrical Engineering and Electromechanics, Vinnitsa National Agrarian University (3, Solnechna str., Vinnitsa, 21008, Ukraine, email:  groupyaroslav@gmail.com, https://orcid.org/0009-0003-9730-7198).

The paper examines infrared spectroscopy as an effective tool for improving the reliability of intelligent analysis of sulfur-containing compounds in petroleum fuels. The feasibility of using this method is substantiated as a modern approach to determining the sulfur mass fraction in petroleum products, which combines high measurement accuracy with the capability of rapid express analysis without complex sample preparation procedures.
Special attention is devoted to the investigation of the mid-infrared range (4000–400 cm⁻¹), where characteristic absorption bands corresponding to the vibrations of S–H, C–S, S=O, SO₂, and S–S bonds are observed. These bands are associated with the functional groups of sulfur-containing compounds. It is shown that the application of narrow-band optical filters enables the isolation of informative spectral regions and reduces the influence of noise components, thus increasing the reliability of spectral measurements.
A conceptual optical scheme of an infrared analyzer is proposed, which includes a radiation source, a system of optical filters, a sample cuvette, focusing lenses, and a pair of detectors — working and reference. This architecture provides simultaneous registration of reference and measurement signals, allowing automatic correction of results and compensation of radiation fluctuations.
Based on the obtained experimental data, dependencies between fuel layer thickness, optical density, and transmittance have been constructed. The results confirm the linear correlation described by the Beer–Lambert–Bouguer law, forming the foundation for quantitative determination of sulfur concentration in low-sulfur fuel samples (5–10 ppm).
It has been demonstrated that the combination of infrared spectroscopy with the mathematical apparatus of chemometrics and multiple linear regression significantly enhances the accuracy of predicting the physicochemical properties of fuels, enables the creation of calibration models, and minimizes measurement errors. The results of the study form the scientific basis for the development of innovative intelligent express systems for monitoring the quality of petroleum products. Such systems are suitable for both laboratory and field applications, as well as for integration into the technical service infrastructure of fuel and energy complexes.

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