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Cs, Ba, Co, and Eu sorption on biotite - experiments at ambient temperature and modelling
Pawan Kumar1, Stellan Holgersson1, Christian Ekberg1
1Department of Chemistry and Chemical Engineering, Division of Nuclear Chemistry, Chalmers University of Technology, Kemivägen 4, SE-41296, Göteborg, Sweden.
None:
The sorption of 134Cs, 133Ba, 60Co and 152Eu onto crushed biotite mineral of size fraction 0.25-0.5 mm at pH 5, 6, 7, 8 and 9 with pH-buffered solutions of 0.001, 0.01 and 0.1 M NaClO4 were investigated. Experimental data was collected by both batch sorption and potentiometric titrations, together with measurements of the acidic site density and cation exchange capacity of the biotite. Titrations gave biotite surface pKa1 = -4.9 ± 0.1 and pKa2 = -7.1 ± 0.2. Batch sorption results show that sorption of all radionuclides is highly dependent on pH. In general sorption increase with pH, but for Co its aqueous hydroxide complexes compete with sorption at pH values > 8 while for Eu, this competition starts at pH > 7. Sorption of both Cs and Ba is strongly dependent on ionic strength, Eu shows an intermediate response while Co was found to be insensitive to this parameter. The measured apparent Rd values were found to increase with time, presumably due to in-diffusion. Therefore, equilibrium Rd was evaluated with a new model for diffusion into porous particles. A non-electrostatic Surface Complexation Model (SCM) was applied on the sorption data and the reaction constants were evaluated in a computation process which couples the PHREEQC chemical speciation program with an iterative error minimization routine. The sorption onto biotite of all four tracer elements was successfully modelled with a combination of one amphoteric 2-pKa surface complexation site and one ion exchange site. The results show that the Rd-values may vary up to two orders of magnitude, depending on tracer element and water conditions. Such large changes should be considered in the safety evaluation of a repository in granitic rock, more specifically for scenarios where groundwater composition is expected to change.
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