Staff Publications

Staff Publications

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    'Staff publications' is the digital repository of Wageningen University & Research

    'Staff publications' contains references to publications authored by Wageningen University staff from 1976 onward.

    Publications authored by the staff of the Research Institutes are available from 1995 onwards.

    Full text documents are added when available. The database is updated daily and currently holds about 240,000 items, of which 72,000 in open access.

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Record number 457293
Title Labilities of aqueous nanoparticulate metal complexes in environmental speciation analysis
Author(s) Town, R.M.; Leeuwen, H.P. van
Source Environmental Chemistry 11 (2014)2. - ISSN 1448-2517 - p. 196 - 205.
DOI https://doi.org/10.1071/EN13138
Department(s) Physical Chemistry and Colloid Science
WIMEK
Publication type Refereed Article in a scientific journal
Publication year 2014
Keyword(s) ombrotrophic peat bog - humic-acid - fulvic-acid - stripping chronopotentiometry - ionic-strength - dissociation kinetics - diffusive gradients - dynamic speciation - solvent exchange - organic-matter
Abstract An inherent property of a dispersion of charged nanoparticles is that their charges and reactive sites are spatially confined to the particle body which is at a different potential from that in the bulk medium. This feature has important consequences for the reactivity of nanoparticulate complexants: the diffusive rate of reactant supply is lower as compared to molecular complexants, whereas the local concentration of reactant ions may be enhanced if the particle’s electric field has the opposite charge sign. These effects are most dramatic for soft nanoparticles for which the electrostatic accumulation mechanisms operate on a 3-D level. We show how the interplay of these effects governs the reactivity of charged nanoparticulate metal complexes (M-NPs) at the surface of an analytical speciation sensor. A theoretical framework is presented that describes the lability of M-NP species over a range of effective timescales for different electrochemical and other dynamic speciation analysis techniques. The concepts are illustrated by electrochemical stripping data on metal complexes with natural soft nanoparticles of humic acid.
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