Abstract

Simultaneous adsorption modeling of four ions was predicted with a strict net charge-neutral ion-exchange theory and its corresponding equilibrium and mass balance equations. An important key to the success of this approach was the proper collection of all the data, particularly the proton adsorption data, and the inclusion of variable concentrations of conjugate ions from the experimental pH adjustments. Using IExFit software, the ion-exchange model used here predicted the competitive retention of several ions on goethite by assuming that the co-adsorption or desorption of all ions occurred in the correct stoichiometries needed to maintain electroneutrality. This approach also revealed that the retention strength of Cl− ions on goethite increases in the presence of phthalate ions. That is, an anion-anion enhancement effect was observed. The retention of Cl− ions was much weaker than phthalate ions, and this also resulted in a higher sensitivity of the Cl− ions toward minor variations in the surface reactivity. The proposed model uses four goethite surface sites. The drop in retention of phthalate ions at low pH was fully described here as resulting from competitive Cl− reactions, which were introduced in increasing concentrations into the matrix as the conjugate base to the acid added to lower the pH.

Highlights

  • The fate and behavior of ions in soil solutions are strongly influenced by their retention on the soil’s solid surfaces

  • Other portions of the supernatant were used to assess the amount of H+ and Cl− ions that had adsorbed onto the goethite surface

  • The adsorption of H+ and Cl− ions is shown in Fig 4

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Summary

Introduction

The fate and behavior of ions in soil solutions are strongly influenced by their retention on the soil’s solid surfaces. Our best descriptions of these solid-liquid interface reactions make use of adsorption models, and the mathematical predictions generated by these models further allow us to quantify their adsorption strengths. Two additional items gained from adsorption modeling are the total number of solid-phase adsorption sites and the stoichiometry of the reaction involved. It can elucidate if the ions are competing with each other, or enhancing each other.

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