Comparative analysis of machine learning methods to predict growth of "F. sporotrichioides" and production of T-2 and HT-2 toxins in treatments with Ethylene-Vinyl alcohol films containing pure components of essential oils

dc.centroUniversidad Cardenal Herrera-CEU
dc.contributor.authorMateo Jiménez, Eva María
dc.contributor.authorGómez, José Vicente
dc.contributor.authorTarazona, Andrea
dc.contributor.authorMateo Jiménez, Fernando
dc.contributor.authorGarcía Esparza, María Ángeles
dc.contributor.otherUCH. Departamento de Farmacia
dc.contributor.otherProducción Científica UCH 2021
dc.date2021
dc.date.accessioned2022-05-04T04:00:12Z
dc.date.available2022-05-04T04:00:12Z
dc.date.issued2021-08-05
dc.descriptionEste artículo se encuentra disponible en la página web de la revista en la siguiente URL: https://www.mdpi.com/2072-6651/13/8/545
dc.descriptionEste artículo pertenece al número especial "Selected Papers from the V Workshop of the Spanish National Network on Mycotoxins and Toxigenic Fungi and Their Decontamination Processes (MICOFOOD), 10?11 December 2020".
dc.description.abstractThe efficacy of ethylene-vinyl alcohol copolymer films (EVOH) incorporating the essential oil components cinnamaldehyde (CINHO), citral (CIT), isoeugenol (IEG), or linalool (LIN) to control growth rate (GR) and production of T-2 and HT-2 toxins by Fusarium sporotrichioides cultured on oat grains under different temperature (28, 20, and 15 C) and water activity (aw) (0.99 and 0.96) regimes was assayed. GR in controls/treatments usually increased with increasing temperature, regardless of aw, but no significant differences concerning aw were found. Toxin production decreased with increasing temperature. The effectiveness of films to control fungal GR and toxin production was as follows: EVOH-CIT > EVOH-CINHO > EVOH-IEG > EVOH-LIN. With few exceptions, effective doses of EVOH-CIT, EVOH-CINHO, and EVOH-IEG films to reduce/inhibit GR by 50%, 90%, and 100% (ED50, ED90, and ED100) ranged from 515 to 3330 g/culture in Petri dish (25 g oat grains) depending on film type, aw, and temperature. ED90 and ED100 of EVOH-LIN were >3330 g/fungal culture. The potential of several machine learning (ML) methods to predict F. sporotrichioides GR and T-2 and HT-2 toxin production under the assayed conditions was comparatively analyzed. XGBoost and random forest attained the best performance, support vector machine and neural network ranked third or fourth depending on the output, while multiple linear regression proved to be the worst.
dc.formatapplication/pdf
dc.identifier.citationMateo, E. M., Gómez, J.V., Tarazona, A., García-Esparza, M.Á. & Mateo, F. (2021). Comparative analysis of machine learning methods to predict growth of "F. sporotrichioides" and production of T-2 and HT-2 toxins in treatments with Ethylene-Vinyl alcohol films containing pure components of essential oils. Toxins, vol. 13, i. 8 (05 aug.), art. 545. DOI: http://dx.doi.org/10.3390/toxins13080545
dc.identifier.doihttps://doi.org/10.3390/toxins13080545
dc.identifier.issn2072-6651 (Electrónico)
dc.identifier.urihttp://hdl.handle.net/10637/13695
dc.language.isoen
dc.publisherMDPI
dc.relation.ispartofToxins, vol. 13, i., 8 (05 aug. 2021)
dc.rightsopen access
dc.rights.cchttps://creativecommons.org/licenses/by-nc-nd/4.0/deed.es
dc.subjectBiofilms.
dc.subjectMachine learning.
dc.subjectToxinas y antitoxinas.
dc.subjectBiofilmes.
dc.subjectAprendizaje automático (Inteligencia artificial)
dc.subjectEssences and essential oils.
dc.subjectToxins.
dc.subjectPolímeros.
dc.subjectPolymers.
dc.subjectEsencias.
dc.titleComparative analysis of machine learning methods to predict growth of "F. sporotrichioides" and production of T-2 and HT-2 toxins in treatments with Ethylene-Vinyl alcohol films containing pure components of essential oils
dc.typeArtículo
dspace.entity.typePublicationes
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relation.isAuthorOfPublication.latestForDiscovery6c97125b-a020-48eb-8221-744cbc6d0b06

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