An ‘electronic nose’ and infrared assess the quality of gasoline
By: Dr. Franyi Sarmiento, Ph.D., Inspenet, April 8, 2022.
A research team from the University of Cádiz has applied two different artificial intelligence tools to compare their precision in the gasoline quality control process and classify it based on its self-combustion capacity. Both conclusions will allow the industry to have updated, precise and real-time information on the composition of this hydrocarbon.