  In this paper, we present a new implementation of the Multicomponent
Potential Theory of Adsorption model. The proposed interpretation establishes a
clear cut between parameters that depends on the adsorbent from those depending
on the adsorbate, which leads to a better understanding of the parameters
signification. The interdependence between pure isotherms is eliminated, which
mean that each component can be individually finely adjusted. This new approach
was tested against 14 datasets for a total of 510 experimental mixture
adsorption data of CH4, CO2, N2, H2, O2, H2S, C2H6, C3H6 and C3H8 on activated
carbons, MOF and zeolites. A slight improvement of 4.67% on excess adsorption
predictions was found, leading to an overall average error of 6.97% for total
excess adsorption and 15.30% for combined mixtures and components excess
adsorption predictions.
