Predictive property models for use in design of controlled release of pesticides

Nuria Muro Suné, Rafiqul Gani, G. Bell, I. Shirley

Research output: Contribution to journalConference articleResearchpeer-review

Abstract

A model capable of predicting the release of an Active Ingredient (AI) from a specific device would be very useful in the field of pesticide controlled release technology for design purposes. For the release of an AI from a microcapsule a mathematical model is briefly presented here, as an introduction to the principal objective of this work, which is the prediction of the model parameters (diffusion and partition coefficients). In particular, this paper focuses on the estimation of the partition coefficient of the AI in the polymer through activity coefficients, that are estimated with a group-contribution model for polymers (GC-Flory EoS). Therefore, this model (GC-Flory EoS) is extended in order to suit the needs of the complex pesticide molecules. The results of the extension of the GC-Flory EoS model, together with a case study dealing with the release of a pesticide from a microcapsule as well as the estimation of model parameters are presented. (c) 2004 Elsevier B.V. All rights reserved.
Original languageEnglish
JournalFluid Phase Equilibria
Volume228-229
Issue numberSI
Pages (from-to)127-133
ISSN0378-3812
DOIs
Publication statusPublished - 2005
Event10th International Conference on Propertiies and Phase Equilibria for Product and Process Design - Snowbird, UT, United States
Duration: 16 May 200421 May 2004
Conference number: 10

Conference

Conference10th International Conference on Propertiies and Phase Equilibria for Product and Process Design
Number10
CountryUnited States
City Snowbird, UT
Period16/05/200421/05/2004

Keywords

  • GC-Flory EoS
  • Model
  • Activity coefficient
  • Polymer
  • Pesticide
  • Controlled release

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