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Exploring the Analytical Complexities in Insect Powder Analysis Using Miniaturized NIR Spectroscopy

  • Dades identificatives

    Identificador: imarina:9286954
    Autors:
    Riu, JordiVega, AlbaBoque, RicardGiussani, Barbara
    Resum:
    Insects have been a food source for humans for millennia, and they are actively consumed in various parts of the world. This paper aims to ascertain the feasibility of portable near-infrared (NIR) spectroscopy as a reliable and fast candidate for the classification of insect powder samples and the prediction of their major components. Commercially-available insect powder samples were analyzed using two miniaturized NIR instruments. The samples were analyzed as they are and after grinding, to study the effect of the granulometry on the spectroscopic analyses. A homemade sample holder was designed and optimized for making reliable spectroscopic measurements. Classification was then performed using three classification strategies, and partial least squares (PLS) regression was used to predict the macronutrients. The results obtained confirmed that both spectroscopic sensors were able to classify insect powder samples and predict macronutrients with an adequate detection limit.
  • Altres:

    Autor segons l'article: Riu, Jordi; Vega, Alba; Boque, Ricard; Giussani, Barbara;
    Departament: Química Analítica i Química Orgànica
    Autor/s de la URV: Boqué Martí, Ricard / Giussani, Barbara / Riu Rusell, Jordi
    Paraules clau: Safety Reflectance Prediction of macronutrients Particle-size Near-infrared spectroscopy Miniaturized instrumentation Measurement strategies Edible insect powder Classification
    Resum: Insects have been a food source for humans for millennia, and they are actively consumed in various parts of the world. This paper aims to ascertain the feasibility of portable near-infrared (NIR) spectroscopy as a reliable and fast candidate for the classification of insect powder samples and the prediction of their major components. Commercially-available insect powder samples were analyzed using two miniaturized NIR instruments. The samples were analyzed as they are and after grinding, to study the effect of the granulometry on the spectroscopic analyses. A homemade sample holder was designed and optimized for making reliable spectroscopic measurements. Classification was then performed using three classification strategies, and partial least squares (PLS) regression was used to predict the macronutrients. The results obtained confirmed that both spectroscopic sensors were able to classify insect powder samples and predict macronutrients with an adequate detection limit.
    Àrees temàtiques: Plant science Microbiology Health professions (miscellaneous) Health (social science) Food science & technology Food science
    Accès a la llicència d'ús: https://creativecommons.org/licenses/by/3.0/es/
    Adreça de correu electrònic de l'autor: barbara.giussani@urv.cat jordi.riu@urv.cat ricard.boque@urv.cat
    Identificador de l'autor: 0000-0001-5823-9223 0000-0001-7311-4824
    Data d'alta del registre: 2024-09-07
    Versió de l'article dipositat: info:eu-repo/semantics/publishedVersion
    URL Document de llicència: https://repositori.urv.cat/ca/proteccio-de-dades/
    Referència a l'article segons font original: Foods. 11 (21):
    Referència de l'ítem segons les normes APA: Riu, Jordi; Vega, Alba; Boque, Ricard; Giussani, Barbara; (2022). Exploring the Analytical Complexities in Insect Powder Analysis Using Miniaturized NIR Spectroscopy. Foods, 11(21), -. DOI: 10.3390/foods11213524
    Entitat: Universitat Rovira i Virgili
    Any de publicació de la revista: 2022
    Tipus de publicació: Journal Publications
  • Paraules clau:

    Food Science,Food Science & Technology,Health (Social Science),Health Professions (Miscellaneous),Microbiology,Plant Science
    Safety
    Reflectance
    Prediction of macronutrients
    Particle-size
    Near-infrared spectroscopy
    Miniaturized instrumentation
    Measurement strategies
    Edible insect powder
    Classification
    Plant science
    Microbiology
    Health professions (miscellaneous)
    Health (social science)
    Food science & technology
    Food science
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