Applying a modified Donnan model to describe the surface complexation of chromate to iron oxyhydroxide agglomerates with heteromorphous pores

Zongsu Wei*, Raphael Semiat

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

11 Scopus citations

Abstract

In this study, a modified Donnan model (mDM) is incorporated into surface complexation model (SCM) to better understand the physicochemical processes for adsorption of hexavalent chromium, Cr(VI), on porous iron oxyhydroxide agglomerates (IOAs). The mDM includes a chemical potential term μatt to account for ionic transport and electrostatic interaction in micropores (dmi < 2 nm) which is usually neglected in typical Donnan model (tDM). To estimate the parameters of mDM in a simple and accurate way, a rigorous protocol was presented. First, the prepared IOAs was characterized with a heteromorphous pore structure (i.e., co-existing micropores and macropores, dma > 2 nm) demonstrating high Cr(VI) adsorption in a broad range of ionic strengths. The batch data was then fitted with Donnan model in PHREEQC to obtain Stern (ψS) and Donnan (ψD) potentials used for μatt calculation. The decreasing μatt values with ionic strength indicated obstructing effect of electrolyte ions on Cr(VI) uptake in micropores. Finally, the ionic activity coefficients and reaction constants were corrected using Pitzer model due to the high level electrolytes accumulated in the Donnan layer through osmotic and electrostatic attraction. Results of this study have captured the effects of inner structure of IOAs on Cr(VI) uptake and quantitatively discerned the contribution of micropores and macropores for adsorption reactions at different ionic strengths.

Original languageEnglish
Pages (from-to)66-75
Number of pages10
JournalJournal of Colloid and Interface Science
Volume506
DOIs
StatePublished - 15 Nov 2017
Externally publishedYes

Keywords

  • Iron oxyhydroxide agglomerates
  • Micropores
  • Modified Donnan model
  • Pitzer model
  • Surface complexation model

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