Computer-aided and predictive models for design of controlled release of pesticides

Nuria Muro Suné, Rafiqul Gani

Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review

Abstract

In the field of pesticide controlled release technology, a computer based model that can predict the delivery of the Active Ingredient (AI) from fabricated units is important for purposes of product design and marketing. A model for the release of an M from a microcapsule device is presented in this paper, together with a specific case study application to highlight its scope and significance. The paper also addresses the need for predictive models and proposes a computer aided modelling framework for achieving it through the development and introduction of reliable and predictive constitutive models. A group-contribution based model for one of the constitutive variables (AI solubility in polymers) is presented together with examples of application and validation.
Original languageEnglish
Title of host publicationProceedings of the 14th European Symposium on Computer Aided Process Engineering
PublisherElsevier
Publication date2004
Pages301-306
ISBN (Print)0-444-51694-8
DOIs
Publication statusPublished - 2004
Event14th European Symposium on Computer Aided Process Engineering - Lisbon, Portugal
Duration: 16 May 200419 May 2004
Conference number: 14
http://www.deb.uminho.pt/escape14/

Conference

Conference14th European Symposium on Computer Aided Process Engineering
Number14
CountryPortugal
CityLisbon
Period16/05/200419/05/2004
Internet address
SeriesComputer Aided Chemical Engineering
Volume18
ISSN1570-7946

Keywords

  • controlled release
  • microcapsule
  • solubility prediction
  • pesticide
  • polymer

Cite this