Modeling blood alcohol concentration using fractional differential equations based on the ψ-Caputo derivative

Abstract

We propose a novel dynamical model for blood alcohol concentration that incorporates 𝜓-Caputo fractional derivatives. Using the generalized Laplace transform technique, we successfully derive an analytic solution for both the alcohol concentration in the stomach and the alcohol concentration in the blood of an individual. These analytical formulas provide us a straightforward numerical scheme, which demonstrates the efficacy of the 𝜓-Caputo derivative operator in achieving a better fit to real experimental data on blood alcohol levels available in the literature. In comparison with existing classical and fractional models found in the literature, our model outperforms them significantly. Indeed, by employing a simple yet nonstandard kernel function 𝜓(t), we are able to reduce the error by more than half, resulting in an impressive gain improvement of 59%.