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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

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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.contributor.author	Mateo Jiménez, Eva María
dc.contributor.author	Gómez Pérez, José Vicente
dc.contributor.author	Tarazona, Andrea
dc.contributor.author	García-Esparza, María Á.
dc.contributor.author	Mateo Jiménez, Fernando
dc.date.accessioned	2022-04-01T12:38:46Z
dc.date.available	2022-04-01T12:38:46Z
dc.date.issued	2021
dc.identifier.citation	Mateo Jiménez, Eva María Gómez Pérez, José Vicente Tarazona, Andrea García-Esparza, María Á. Mateo Jiménez, Fernando 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 13 545 1 24
dc.identifier.uri	https://hdl.handle.net/10550/82126
dc.description.abstract	The 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 µg/culture in Petri dish (25 g oat grains) depending on film type, aw, and temperature. ED90 and ED100 of EVOH-LIN were >3330 µg/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.language.iso	eng
dc.relation.ispartof	Toxins, 2021, vol. 13, num. 545, p. 1-24
dc.subject	Microbiologia
dc.subject	Microorganismes patògens
dc.title	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.type	journal article	es_ES
dc.date.updated	2022-04-01T12:38:46Z
dc.identifier.doi	10.3390/toxins13080545
dc.identifier.idgrec	151021
dc.rights.accessRights	open access	es_ES