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Foliar Uptake Models for Biocides: Testing Structural and Practical Identifiability

Sangoi, E; Cattani, F; Padia, F; Galvanin, F; (2024) Foliar Uptake Models for Biocides: Testing Structural and Practical Identifiability. In: Computer Aided Chemical Engineering. (pp. 37-42). Elsevier

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Abstract

As the global population grows and resources become scarcer, ensuring adequate food production is an urgent challenge. Developing safer biocides is crucial for optimizing crop yields and meeting rising food demands. Mathematical models play a pivotal role in understanding complex biological systems. This work focuses on developing a reliable model for characterizing the process of foliar biocide uptake in plants. A systematic modelling strategy involves the following steps: 1) formulating candidate models for foliar uptake; 2) conducting identifiability tests to verify that candidate model parameters can be determined from observations; 3) selecting the best model based on a-posteriori statistics from observations; 4) design experiments for achieving a precise estimation of model parameters from data. This paper presents a study on structural and practical identifiability of compartmental models for foliar biocide uptake (steps 1 and 2), considering experimental data limitations and initial condition variability. These findings will guide further model-based experimentation.

Type: Book chapter
Title: Foliar Uptake Models for Biocides: Testing Structural and Practical Identifiability
ISBN-13: 9780443288241
DOI: 10.1016/B978-0-443-28824-1.50007-7
Publisher version: https://doi.org/10.1016/B978-0-443-28824-1.50007-7
Language: English
Additional information: This version is the author accepted manuscript. For information on re-use, please refer to the publisher’s terms and conditions.
Keywords: Model identification, foliar uptake, identifiability analysis, compartmental models
UCL classification: UCL
UCL > Provost and Vice Provost Offices > UCL BEAMS
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science > Dept of Chemical Engineering
URI: https://discovery.ucl.ac.uk/id/eprint/10194423
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