Competition in chromate adsorption onto micro-sized granular ferric hydroxide.

Abstract Hexavalent chromium is highly toxic and elaborate technology is necessary for ensured removal during drinking water production. The present study aimed at estimating the potential of a micro-sized iron hydroxide (μGFH] adsorbent for chromate removal in competition to ions presents in drinking water. Freundlich and Langmuir models were applied to describe the adsorption behaviour. The results show a high dependency on the pH value with increasing adsorption for decreasing pH values. The adsorption capacity in deionized water (DI) at pH 7 was 5.8 mg/g Cr(VI) while it decreased to 1.9 mg/g Cr(VI) in Berlin drinking water (DW) at initial concentrations of 1.2 mg/L. Desorption experiments showed reversible adsorption indicating ion exchange and outer sphere complexes as main removal mechanisms. Competing ions present in DW were tested for interfering effects on chromate adsorption. Bicarbonate was identified as main inhibitor of chromate adsorption. Sulfate, silicate and phosphate also decreased chromate loadings, while calcium enhanced chromate adsorption. Adsorption kinetics were highly dependent on particle size and adsorbent dose. Adsorption equilibrium was reached after 60 min for particles smaller than 63 μm, while 240 min were required for particles from 125 μm to 300 μm. Adsorption kinetics in single solute systems could be modelled using the homogeneous surface diffusion model (HSDM) with a surface diffusion coefficient of 4∙10 −14 m2/s. Competitive adsorption could be modelled using simple equations dependent on time, adsorption capacity and concentrations only. Graphical abstract Image 1 Highlights • Micro-seized ferric hydroxide (μGFH) useful as adsorbent for chromate. • Decreased capacities in drinking water due to the competition by carbonate species. • Improved kinetics in contrast to conventional GFH due to small particle size. • Modelling of chromate adsorption onto μGFH with the homogeneous surface diffusion model in single solute systems. • Modelling of competitive adsorption using a model dependent only on time, adsorption capacity and concentrations. [ABSTRACT FROM AUTHOR]