In this article, we point out that luggage disinfection is a key step in stopping the spread of infectious diseases that can be contracted at airports due to viruses and bacteria, which can spread through passenger luggage at airports. To prevent the spread of respiratory infections at airports, in this research study, we compare two types of baggage disinfection system. The first method uses UV light to disinfect luggage while selectively checking it for the presence of bacteria and viruses. The second system uses non-selective disinfection, taking into account the possibility of the spread of disease from the aircraft’s home country. An analysis and simulation of a specific airport security procedure was carried out on the model under study, which is an automated system for disinfecting baggage at airports in two variants. The aim is to reduce the transmission of harmful diseases and, at the same time, to ensure the accuracy of passenger security screening by efficiently exhausting each of the proposed models. This research shows that the suggested measures to stop the spread of infectious diseases that travelers’ luggage can bring in will enhance screening procedures and, in particular, boost overall security while lowering the risk of infection transmission at airports.

Growing pressure to decarbonize aviation has accelerated the search for alternative fuels to replace conventional Jet A-1 kerosene, with renewable biofuels attracting significant interest. While early demonstrations of kerosene–biofuel blends have been successful, they also introduce new operational challenges. This study examines the influence of low temperatures on blends of Jet A-1 and FAME (fatty acid methyl ester), focusing on clear point, cloud point, and density—parameters critical for maintaining reliable fuel flow in cold environments. The measurements demonstrate a consistent trend in which greater FAME fractions raise the clear point from 0.5 °C (0% FAME) to 5.8 °C (40% FAME) and the cloud point from −29.3 °C to −23.4 °C over the same range. Mixture density also increases with higher FAME content, from 810 kg·m⁻³ for pure Jet A-1 to 883 kg·m⁻³ for 100% FAME. Additionally, density rises as temperature decreases, with an increase of 6–16 kg·m⁻³ when the temperature drops from 8 °C to −8 °C. These shifts may impair stable fuel delivery to aircraft engine combustion chambers at low temperatures. The findings confirm that higher FAME content elevates clear and cloud point temperatures and increases density, indicating that such blends may be unsuitable for aviation use in polar and subpolar regions.