Articles producció científicaEnginyeria Química

Vibrational spectroscopy using portable devices combined with traditional machine learning: a powerful tool for insect rearing and food quality assessment

  • Identification data

    Identifier:  imarina:9484658
    Authors:  Mendez-Sanchez, Carmen; Ortiz, Mayreli; Guell, Carme; Ferrando, Montserrat; Cozzolino, Daniel; De Lamo Castellvi, Silvia
    Abstract:
    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.
  • Others:

    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
  • Keywords:

    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
    Chemistry (Miscellaneous)
    Chemistry
    Multidisciplinary
    Environmental Chemistry
    Green & Sustainable Science & Technology
    Biotecnología
    Chemistry (all)
    Ciência de alimentos
    Ciências biológicas ii
    Engenharias ii
    General chemistry
    Materiais
    Química
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