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Paper Details


Bibliographic Data:


Code: PS08
Paper Type: Article
Author(s): Piasecki W, Sverjensky DA
Title: Speciation of adsorbed yttrium and rare earth elements on oxide surfaces
Journal: Geochimica et Cosmochimica Acta
Volume: 72(16)   Year: 2008   Pages: 3964-3979
ISSN-Print: 0016-7037; 0016-1258
Internal Storage: V4590
DOI: 10.1016/j.gca.2008.05.049
Abstract:

The distribution of yttrium and the rare earth elements (YREE) between natural waters and oxide mineral surfaces depends on adsorption reactions, which in turn depend on the specific way in which YREE are coordinated to mineral surfaces. Recent X-ray studies have established that Y3+ is adsorbed to the rutile (1 1 0) surface as a distinctive tetranuclear species. However, the hydrolysis state of the adsorbed cation is not known from experiment. Previous surface complexation models of YREE adsorption have suggested two to four cation hydrolysis states coexisting on oxide surfaces. In the present study, we investigate the applicability of the X-ray results to rare earth elements and to several oxides in addition to rutile using the extended triple-layer surface complexation model. The reaction producing a hydrolyzed tetranuclear surface species

4>SOH + M3+ + 2H2O = (>SOH)2(>SO-)2 _ M(OH)+2 + 4H+

was found to account for a significant fraction of the adsorbed Y3+, La3+, Nd3+, Gd3+, and Yb3+ on rutile, hematite, alumina and silica over wide ranges of pH and ionic strength. Where adsorption data were available as a function of surface coverage for hematite and silica, an additional reaction involving a mononuclear species could be used to account for the higher surface coverages. However, it is also possible that some of the higher surface coverage data refer to surface precipitation rather than adsorption. The results of the present study provide an internally consistent basis for describing YREE adsorption which could be used to investigate more complex systems in which YREE compete both in aqueous solution and on mineral surfaces with alkaline earths and ligands such as carbonate, sulfate, chloride and organic species, in order to build a predictive adsorption model applicable to natural waters.

Comment: SCM; RAW_GRAPH

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