Prediction of Multicomponent Ion-Exchange Equilibria for the Ternary System Sr++- Cs+- Na+on Zeolite from Data of Binary Systems

A framework is developed to provide predictions of multicomponent ion-exchange equilibria from binary data. Experimental data are reported for the ion-exchange equilibria of the binary systems Sr++-Na+, Cs+-Na+and Sr++- Cs+on chabazite zeolite. These systems exhibit non-ideal characterization has been based on the reaction equilibrium constants and correlation for the activity coefficient in both phases. The exchanger phase activity coefficients are obtained from the well-known Wilson model. A computer program to carry out the prediction procedure was give in FORTRAN-77. The sum of the squares of deviations between experimental and predicted points was used as a criterion for best fit. The good agreement between the experimental and predicted data showed that the proposed framework is considered to be an effective method to predict many ternary systems from its binary systems