Examinando por Autor "Barrio, Itxasne del"

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    Novel artificial intelligence approach for nsLTP early detection using NIRs data
    (Springer, 2025-07-29) Rodríguez Alonso, Alex; Barrio, Itxasne del; Bernardo Seisdedos, Ganeko; Osa Sánchez, Ainhoa; García-Zapirain, Begoña
    Food 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.