Autor segons l'article: Mendez-Sanchez, Carmen; Ortiz, Mayreli; Guell, Carme; Ferrando, Montserrat; Cozzolino, Daniel; De Lamo Castellvi, Silvia
Departament: Enginyeria Química
Autor/s de la URV: De Lamo Castellvi, Silvia / Ferrando Cogollos, Maria Montserrat / Güell Saperas, Maria Carmen / Méndez Sánchez, Carmen / Ortíz Rodríguez, Mayreli
Paraules clau: Adulteration; Authenticity; Chemometrics; Fat-body; Ftir; Identification; Infrared spectroscopy; Insects; Metabolism; Near-infrared spectroscopy; Nutritional-value; Portable and handheld devices; Raman spectroscopy; Tenebrio-molitor; Traditional machine learning
Resum: The global population will reach 10 billion by 2050, requiring a 70% increase in food and feed production. Alternative nutrient sources, such as edible insects, are being studied to meet this demand due to their high nutritional value and minimal environmental impact. Insects are rich in protein, lipids, and micronutrients, and their nutritional composition changes depending on species, feeding material, and processing methods. Insect proteins are bioavailable and contain essential amino acids, while lipids offer a balanced ratio of unsaturated and saturated fatty acids. Chitin, a major component of insect exoskeletons, is also relevant due to its biological activity. Insect production requires optimized rearing, processing, and quality control methods. Vibrational spectroscopy can be used to ensure the quality and nutritional integrity of insect-based products. Infrared and Raman spectroscopy are two key types of vibrational spectroscopy that provide valuable information about the molecular composition of insect-based products. The incorporation of vibrational spectroscopy into insect farming and production systems could streamline quality control processes, ensure food safety, and support sustainable practices. Portable and miniaturized spectroscopic devices offer a cost-effective solution for on-site monitoring, providing farmers and manufacturers with a convenient tool to maintain the authenticity, quality, and nutritional integrity of insect-based foods.
Àrees temàtiques: 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
Accès a la llicència d'ús: https://creativecommons.org/licenses/by/3.0/es/
Adreça de correu electrònic de l'autor: 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
Data d'alta del registre: 2026-01-17
Versió de l'article dipositat: info:eu-repo/semantics/publishedVersion
Enllaç font original: https://www.tandfonline.com/doi/full/10.1080/17518253.2025.2608409
Referència a l'article segons font original: Green Chemistry Letters And Reviews. 19 (1): 2608409-
Referència de l'ítem segons les normes 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
URL Document de llicència: https://repositori.urv.cat/ca/proteccio-de-dades/
DOI de l'article: 10.1080/17518253.2025.2608409
Entitat: Universitat Rovira i Virgili
Any de publicació de la revista: 2026-12-31
Tipus de publicació: Journal Publications