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Journal of Agricultural and Food Chemistry
Article . 2013 . Peer-reviewed
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Reanalysis of Experiments To Quantify Irreversibility of Pesticide Sorption–Desorption in Soil

Authors: Colin D. Brown; Laura A. Suddaby; Sabine Beulke; Wendy van Beinum; William C. Koskinen; Rafael Celis;

Reanalysis of Experiments To Quantify Irreversibility of Pesticide Sorption–Desorption in Soil

Abstract

Previously published research used an isotope-exchange technique to measure irreversibility of pesticide sorption-desorption in soil. Results indicated significant irreversibility (6-51%) in sorption in five pesticide-soil systems measured over 72 h. Here, we propose a three-site model to reanalyze the experimental data. The model adds a slow but reversible binding on nonequilibrium sorption sites in addition to instantaneously reversible sites and irreversible sites. The model was able to match experimental data very closely, but only if irreversible sorption was assumed to be absent. Observed asymmetry in the binding of (12)C- and (14)C-pesticide was explained on the basis of nonattainment of sorption equilibrium over the study period. Results suggest that irreversible sorption may be less significant than previously considered with important implications for understanding the fate of pesticides applied to soil.

Keywords

Neonicotinoids, Soil, Imidazoles, Soil Pollutants, Adsorption, Carbon Radioisotopes, Models, Theoretical, Pesticides, Nitro Compounds, Carbon

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citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
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