Link to the original source: https://www.tandfonline.com/doi/full/10.1080/17518253.2025.2608409
APA: Mendez-Sanchez, Carmen; Ortiz, Mayreli; Guell, Carme; Ferrando, Montserrat; Cozzolino, Daniel; De Lamo Castellvi, Silvia (2026). Vibrational spectroscopy using portable devices combined with traditional machine learning: a powerful tool for insect rearing and food quality assessment. Green Chemistry Letters And Reviews, 19(1), 2608409-. DOI: 10.1080/17518253.2025.2608409
Paper original source: Green Chemistry Letters And Reviews. 19 (1): 2608409-
Article's DOI: 10.1080/17518253.2025.2608409
Journal publication year: 2026-12-31
Entity: Universitat Rovira i Virgili
Paper version: info:eu-repo/semantics/publishedVersion
Record's date: 2026-01-17
URV's Author/s: De Lamo Castellvi, Silvia / Ferrando Cogollos, Maria Montserrat / Güell Saperas, Maria Carmen / Méndez Sánchez, Carmen / Ortíz Rodríguez, Mayreli
Department: Enginyeria Química
Licence document URL: https://repositori.urv.cat/ca/proteccio-de-dades/
Publication Type: Journal Publications
Author, as appears in the article.: Mendez-Sanchez, Carmen; Ortiz, Mayreli; Guell, Carme; Ferrando, Montserrat; Cozzolino, Daniel; De Lamo Castellvi, Silvia
licence for use: https://creativecommons.org/licenses/by/3.0/es/
Thematic Areas: Biotecnología, Chemistry (all), Chemistry (miscellaneous), Chemistry, multidisciplinary, Ciência de alimentos, Ciências biológicas ii, Engenharias ii, Environmental chemistry, General chemistry, Green & sustainable science & technology, Materiais, Química
Author's mail: montse.ferrando@urv.cat, montse.ferrando@urv.cat, carme.guell@urv.cat, carme.guell@urv.cat, silvia.delamo@urv.cat, silvia.delamo@urv.cat, carmen.mendez@estudiants.urv.cat, mayreli.ortiz@urv.cat