Novel artificial intelligence approach for nsLTP early detection using NIRs data

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dc.contributor.authorRodríguez Alonso, Alex
dc.contributor.authorBarrio, Itxasne del
dc.contributor.authorBernardo Seisdedos, Ganeko
dc.contributor.authorOsa Sánchez, Ainhoa
dc.contributor.authorGarcía-Zapirain, Begoña
dc.date.accessioned2026-03-12T15:37:02Z
dc.date.available2026-03-12T15:37:02Z
dc.date.issued2025-07-29
dc.date.updated2026-03-12T15:37:02Z
dc.description.abstractFood allergies have become a significant public health issue, particularly lipid transfer protein (LTP) allergies, which are highly stable allergens and can cause severe allergic reactions. This research aims to develop and validate an AI-driven solution for detecting LTPs in food using near-infrared spectroscopy (NIRS), exploring the feasibility of non-invasive allergen identification using AI-assisted spectroscopy. The methodology involves collecting spectral data from various food samples, building a machine learning model, and optimizing it iteratively to improve detection accuracy. The results show that the AI model achieved an accuracy of 87% and an F1-score of 89.91%, indicating its potential for enhancing food safety. In conclusion, this solution demonstrates the viability of using NIRS and AI for allergen detection, with promising future applications in healthcare.en
dc.description.sponsorshipThis study was funded by smartJAN 2023 of the project “smartJAN: Solución tecnológica para la detección y seguimiento de la calidad de los alimentos para personas con intolerancias, alergias o riesgo de intoxicación alimentaria”en
dc.identifier.citationRodriguez-Alonso, A., Del Barrio, I., Bernardo-Seisdedos, G., Osa-Sanchez, A., & Garcia-Zapirain, B. (2025). Novel artificial intelligence approach for nsLTP early detection using NIRs data. Food Analytical Methods, 18(10), 2331-2343. https://doi.org/10.1007/S12161-025-02851-6
dc.identifier.doi10.1007/S12161-025-02851-6
dc.identifier.eissn1936-976X
dc.identifier.issn1936-9751
dc.identifier.urihttps://hdl.handle.net/20.500.14454/5426
dc.language.isoeng
dc.publisherSpringer
dc.rights© The Author(s) 2025
dc.subject.otherAllergens
dc.subject.otherArtificial intelligence
dc.subject.otherClassification
dc.subject.otherNear-infrared spectroscopy
dc.titleNovel artificial intelligence approach for nsLTP early detection using NIRs dataen
dc.typejournal article
dcterms.accessRightsopen access
oaire.citation.endPage2343
oaire.citation.issue10
oaire.citation.startPage2331
oaire.citation.titleFood Analytical Methods
oaire.citation.volume18
oaire.licenseConditionhttps://creativecommons.org/licenses/by/4.0/
oaire.versionVoR
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