Robust dynamic experiments for the precise estimation of respiration and fermentation parameters of fruit and vegetables.
Dynamic models based on non-linear differential equations are increasingly being used in many biological applications. Highly informative dynamic experiments are valuable for the identification of these dynamic models. The storage of fresh fruit and vegetables is one such application where dynamic e...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
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Public Library of Science (PLoS)
2022-01-01
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| Series: | PLoS Computational Biology |
| Online Access: | https://doi.org/10.1371/journal.pcbi.1009610 |
| _version_ | 1818323055017984000 |
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| author | Arno Strouwen Bart M Nicolaï Peter Goos |
| author_facet | Arno Strouwen Bart M Nicolaï Peter Goos |
| author_sort | Arno Strouwen |
| collection | DOAJ |
| description | Dynamic models based on non-linear differential equations are increasingly being used in many biological applications. Highly informative dynamic experiments are valuable for the identification of these dynamic models. The storage of fresh fruit and vegetables is one such application where dynamic experimentation is gaining momentum. In this paper, we construct optimal O2 and CO2 gas input profiles to estimate the respiration and fermentation kinetics of pear fruit. The optimal input profiles, however, depend on the true values of the respiration and fermentation parameters. Locally optimal design of input profiles, which uses a single initial guess for the parameters, is the traditional method to deal with this issue. This method, however, is very sensitive to the initial values selected for the model parameters. Therefore, we present a robust experimental design approach that can handle uncertainty on the model parameters. |
| first_indexed | 2024-12-13T11:06:36Z |
| format | Article |
| id | doaj.art-58d7e20a4b714be0a88c61b541b9cb87 |
| institution | Directory Open Access Journal |
| issn | 1553-734X 1553-7358 |
| language | English |
| last_indexed | 2024-12-13T11:06:36Z |
| publishDate | 2022-01-01 |
| publisher | Public Library of Science (PLoS) |
| record_format | Article |
| series | PLoS Computational Biology |
| spelling | doaj.art-58d7e20a4b714be0a88c61b541b9cb872022-12-21T23:48:58ZengPublic Library of Science (PLoS)PLoS Computational Biology1553-734X1553-73582022-01-01181e100961010.1371/journal.pcbi.1009610Robust dynamic experiments for the precise estimation of respiration and fermentation parameters of fruit and vegetables.Arno StrouwenBart M NicolaïPeter GoosDynamic models based on non-linear differential equations are increasingly being used in many biological applications. Highly informative dynamic experiments are valuable for the identification of these dynamic models. The storage of fresh fruit and vegetables is one such application where dynamic experimentation is gaining momentum. In this paper, we construct optimal O2 and CO2 gas input profiles to estimate the respiration and fermentation kinetics of pear fruit. The optimal input profiles, however, depend on the true values of the respiration and fermentation parameters. Locally optimal design of input profiles, which uses a single initial guess for the parameters, is the traditional method to deal with this issue. This method, however, is very sensitive to the initial values selected for the model parameters. Therefore, we present a robust experimental design approach that can handle uncertainty on the model parameters.https://doi.org/10.1371/journal.pcbi.1009610 |
| spellingShingle | Arno Strouwen Bart M Nicolaï Peter Goos Robust dynamic experiments for the precise estimation of respiration and fermentation parameters of fruit and vegetables. PLoS Computational Biology |
| title | Robust dynamic experiments for the precise estimation of respiration and fermentation parameters of fruit and vegetables. |
| title_full | Robust dynamic experiments for the precise estimation of respiration and fermentation parameters of fruit and vegetables. |
| title_fullStr | Robust dynamic experiments for the precise estimation of respiration and fermentation parameters of fruit and vegetables. |
| title_full_unstemmed | Robust dynamic experiments for the precise estimation of respiration and fermentation parameters of fruit and vegetables. |
| title_short | Robust dynamic experiments for the precise estimation of respiration and fermentation parameters of fruit and vegetables. |
| title_sort | robust dynamic experiments for the precise estimation of respiration and fermentation parameters of fruit and vegetables |
| url | https://doi.org/10.1371/journal.pcbi.1009610 |
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