Abstract
Algorithms were developed which can be used to predict the dynamics of multicomponent adsorption in batch. These algorithms were developed on the following bases: (a) the rate of adsorption is controlled by both external and intraparticle diffusion, (b) the intraparticle diffusion is described by either the pore or the surface diffusion models, and (c)the multicomponent adsorption equilibrium behavior can be predicted from the ideal adsorbed solution (IAS)theory. The availability of these algorithms makes it possible to predict concentration histories of batch adsorption processes involving an arbitrarily large number of adsorbates from a minimum amount of base information obtained from single-species adsorption measurements.