The prediction of blood–tissue partitions, water–skin partitions and skin permeation for agrochemicals
KeywordLFER; Abraham descriptors; Blood–tissue partition; Air–tissue partition; Water–skin partition: Skin permeation
Rights© 2014 Wiley. This is the peer reviewed version of the following article: [Abraham MH, Gola JMR, Ibrahim A et al. (2014) The prediction of blood-tissue partitions, water-skin partitions and skin permeation for agrochemicals. Pest Management Science. 70(7): 1130-1137], which has been published in final form at [http://dx.doi.org/10.1002/ps.3658]. This article may be used for non-commercial purposes in accordance with Wiley Terms and Conditions for Self-Archiving.
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AbstractBACKGROUND: There is considerable interest in the blood–tissue distribution of agrochemicals, and a number of researchershave developed experimental methods for in vitro distribution. These methods involve the determination of saline–blood andsaline–tissue partitions; not only are they indirect, but they do not yield the required in vivo distribution.RESULTS: The authors set out equations for gas–tissue and blood–tissue distribution, for partition from water into skin andfor permeation from water through human skin. Together with Abraham descriptors for the agrochemicals, these equationscan be used to predict values for all of these processes. The present predictions compare favourably with experimental in vivoblood–tissue distribution where available. The predictions require no more than simple arithmetic.CONCLUSIONS: The present method represents a much easier and much more economic way of estimating blood–tissuepartitions than the method that uses saline–blood and saline–tissue partitions. It has the added advantages of yielding therequired in vivo partitions and being easily extended to the prediction of partition of agrochemicals from water into skin andpermeation from water through skin.
CitationAbraham MH, Gola JMR, Ibrahim A et al. (2014) The prediction of blood-tissue partitions, water-skin partitions and skin permeation for agrochemicals. Pest Management Science. 70(7): 1130-1137.
Link to publisher’s versionhttp://dx.doi.org/10.1002/ps.3658
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