Determination of time-dependent partition coefficients for several pesticides using diffusion theory

Renaud, F. G. , Leeds-Harrison, P. B., Brown, C. D. and Beinum, W. v. (2004) Determination of time-dependent partition coefficients for several pesticides using diffusion theory. Chemosphere, 57(10), pp. 1525-1535. (doi: 10.1016/j.chemosphere.2004.08.059) (PMID:15519397)

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Diffusion-retarded partitioning of pesticides with aggregated soils results in a time-dependent partition coefficient which is different at equilibrium from the partition coefficient derived from conventional 24-h batch studies (Kd) measured on dispersed soil. An experiment was undertaken to determine the importance of for the prediction of pesticide concentrations in solutions bathing artificial soil aggregates and to determine whether diffusion theory could accurately predict the concentrations. Two clay soils were mixed with polyacrylamide to create artificial aggregates of 0.8, 1.4 and 1.7 cm diameter when dry. After saturation, the aggregates were immersed in solutions containing isoproturon or a mixture of isoproturon, chlorotoluron and triasulfuron. The decline with time of the pesticide concentrations in the bathing solution was monitored and the results were compared with predictions from a diffusion-based model. The effective diffusion coefficients of the compounds were obtained by either fitting the non-linear diffusion model to the data (Def) or by independent calculations based on the properties of the compounds and of the aggregates (Dec). The diffusion model was able to predict the temporal variation in pesticide concentrations in the bathing solution reasonably well whether Def or Dec values were used. However, equilibrium concentrations in solution were sometimes overestimated due to increased sorption with time at the particle scale. Overall, the ratio between Def and Dec ranged from 0.23 to 0.95 which was a reasonable variation when compared to the range of aggregate sizes used in the experiments and of the Kd values of the compounds.

Item Type:Articles
Glasgow Author(s) Enlighten ID:Renaud, Professor Fabrice
Authors: Renaud, F. G., Leeds-Harrison, P. B., Brown, C. D., and Beinum, W. v.
College/School:College of Social Sciences > School of Social & Environmental Sustainability
Journal Name:Chemosphere
ISSN (Online):1879-1298
Published Online:13 October 2004

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