  Nowadays, there is a series of complexities in biophysics that require a
suitable approach to determine the measurable quantity. In this way, the
superstatistics has been an important tool to investigate dynamic aspects of
particles, organisms and substances immersed in systems with non-homogeneous
temperatures (or diffusivity). The superstatistics admits a general Boltzmann
factor that depends on the distribution of intensive parameters $\beta$
(inverse-diffusivity). Each value of intensive parameter is associated with a
local equilibrium in the system. In this work, we investigate the consequences
of Mittag-Leffler function on the definition of f-distribution of a complex
system. Thus, using the techniques belonging to the fractional calculus with
non-singular kernels, we constructed a distribution to intensive parameters
using the Mittag-Leffler function. This function implies distributions with
power-law behaviour to high energy values in the context of Cohen-Beck
superstatistics. This work aims to present the generalised probabilities
distribution in statistical mechanics under a new perspective of the
Mittag-Leffler function inspired in Atangana-Baleanu and Prabhakar forms.
