A Revised Pseudo-Second-Order Kinetic Model for Adsorption, Sensitive to Changes in Adsorbate and Adsorbent Concentrations

The development of new adsorbent materials for the removal toxic contaminants from drinking water is crucial toward achieving United Nations Sustainable Development Goal 6 (clean and sanitation). characterization these includes fitting models adsorption kinetics to experimental data, most commonly pseudo-second-order (PSO) model. PSO model, however, not sensitive parameters such as adsorbate concentrations (C0 Cs) consequently able predict changes in performance a function operating conditions. Furthermore, conditionality rate constant, k2, can lead erroneous conclusions when comparing literature results. In this study, we analyze 103 kinetic experiments 47 sources develop relatively simple modification equation, yielding d q t = k ' C ( 1 - e ) 2 . Unlike original revised equation (rPSO) provides first-order zero-order dependencies upon C0 Cs that observe empirically. Our model reduces residual sum squares by 66% using single constant multiple with varying initial demonstrate how rPSO k' more appropriate studies, highlighting faster arsenic onto alumina versus iron oxides. This should find applications engineering especially since does show counter-intuitive inverse relationship increasing reaction rates increased, unlike k2.