Literature DB >> 16553170

Chromate removal by an iron sorbent: mechanism and modeling.

Edward Smith1, Kaveh Ghiassi.   

Abstract

A solution containing chromate was treated using waste shot-blast fines recovered from surface finishing operations in a cast-iron foundry as a sorbent in batch and fixed-bed modes. Equilibrium experiments for initial chromate concentrations of 5 to 10 ppm produced a pH-adsorption edge that exhibits removal of chromium (Cr) over a broad pH range, with adsorption capacities that compare favorably to those reported for other adsorbents such as activated carbon and commercial iron oxides. Surface complexation modeling of adsorption equilibria suggests the formation of monodentate, inner-sphere complexes with chromate (CrO4(2-)) and bichromate (HCrO4(-)). Adsorption of Cr(VI) at iron oxy-hydroxide sites appears to be the primary mechanism of chromium removal at neutral pH. At lower pH values (for example, pH 4), reduction to Cr(III) is assumed to contribute to the increasing removal as a function of decrease in pH. There is also evidence to support the formation of Cr(III)-iron (Fe)(III) coprecipitate following Cr(VI) reduction by dissolved Fe(II). Using equilibrium constants for the two surface complexation reactions evaluated from a triple-layer model description of the oxide-water interface, chromate removal in a short fixed bed of fines was simulated using a dual mass-transfer kinetic model. Rate coefficients determined from model calibration of the short column were used to predict experimental breakthrough curves in columns with empty bed contact times (EBCTs) up to four times the short column. For an influent chromium concentration and pH of 5 ppm and 7.0, respectively, a solid-phase loading capacity of 9.5 +/- 0.3 mg/g was achieved at exhaustion. Predictive model runs indicate that, for this case, an EBCT of 2.0 to 2.5 minutes is optimum for achieving a target effluent concentration of less than or equal to 0.05 mg/L chromium as Cr(VI).

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Year:  2006        PMID: 16553170     DOI: 10.2175/106143005x84558

Source DB:  PubMed          Journal:  Water Environ Res        ISSN: 1061-4303            Impact factor:   1.946


  5 in total

1.  Comparison of Advection-Diffusion Models and Neural Networks for Prediction of Advanced Water Treatment Effluent.

Authors:  Mohammed Maruf Mortula; Jamal Abdalla; Ahmad A Ghadban
Journal:  Environ Eng Sci       Date:  2012-07       Impact factor: 1.907

2.  Synthesis and application of cationised cellulose for removal of Cr(VI) from acid mine-drainage contaminated water.

Authors:  Anita Etale; Dineo S Nhlane; Alseno K Mosai; Jessica Mhlongo; Aaliyah Khan; Karl Rumbold; Yannick B Nuapia
Journal:  AAS Open Res       Date:  2021-01-21

3.  Sorption of Cr(III) and Cr(VI) to High and Low Pressure Synthetic Nano-Magnetite (Fe3O4)Particles.

Authors:  Jason G Parsons; Jeffrey Hernandez; Christina M Gonzalez; J L Gardea-Torresdey
Journal:  Chem Eng J       Date:  2014-10-15       Impact factor: 13.273

4.  Study of the thermodynamics of chromium(III) and chromium(VI) binding to iron(II/III)oxide or magnetite or ferrite and magnanese(II) iron (III) oxide or jacobsite or manganese ferrite nanoparticles.

Authors:  Steven Luther; Nathan Brogfeld; Jisoo Kim; J G Parsons
Journal:  J Colloid Interface Sci       Date:  2013-03-13       Impact factor: 8.128

5.  Effects of varying temperatures and alkalinities on the corrosion and heavy metal release from low-lead galvanized steel.

Authors:  Manjie Li; Zhaowei Liu; Yongcan Chen; Gregory V Korshin
Journal:  Environ Sci Pollut Res Int       Date:  2019-11-30       Impact factor: 4.223

  5 in total

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