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Foliar uptake of biocides: Statistical assessment of compartmental and diffusion-based models

Sangoi, E; Cattani, F; Padia, F; Galvanin, F; (2025) Foliar uptake of biocides: Statistical assessment of compartmental and diffusion-based models. Chemical Engineering Science , 317 , Article 121984. 10.1016/j.ces.2025.121984. (In press). Green open access

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Abstract

The global population increase leads to a high food demand, and to reach this target products such as pesticides are needed to protect the crops. Research is focusing on the development of new products that can be less harmful to the environment, and mathematical models are tools that can help to understand the mechanism of uptake of pesticides and then guide in the product development phase. This paper applies a systematic methodology to model the foliar uptake of pesticides, to take into account the uncertainties in the experimental data and in the model structure. A comparison between different models is conducted, focusing on the identifiability of model parameters through dynamic sensitivity profiles and correlation analysis. Lastly, data augmentation studies are conducted to exploit the model for the design of experiments and to provide a practical support to future experimental campaigns, paving the way for further application of model-based design of experiments techniques in the context of foliar uptake.

Type: Article
Title: Foliar uptake of biocides: Statistical assessment of compartmental and diffusion-based models
Open access status: An open access version is available from UCL Discovery
DOI: 10.1016/j.ces.2025.121984
Publisher version: https://doi.org/10.1016/j.ces.2025.121984
Language: English
Additional information: © 2025 The Author(s). Published by Elsevier Ltd. This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).
Keywords: Model identification, Foliar uptake, Data augmentation, Correlation study, Practical identifiability
UCL classification: UCL
UCL > Provost and Vice Provost Offices > UCL BEAMS
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science > Dept of Chemical Engineering
URI: https://discovery.ucl.ac.uk/id/eprint/10211087
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