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

  • Datos identificativos

    Identificador: imarina:9286954
    Autores:
    Riu, JordiVega, AlbaBoque, RicardGiussani, Barbara
    Resumen:
    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.
  • Otros:

    Autor según el artículo: Riu, Jordi; Vega, Alba; Boque, Ricard; Giussani, Barbara;
    Departamento: Química Analítica i Química Orgànica
    Autor/es de la URV: Boqué Martí, Ricard / Giussani, Barbara / Riu Rusell, Jordi
    Palabras clave: Safety Reflectance Prediction of macronutrients Particle-size Near-infrared spectroscopy Miniaturized instrumentation Measurement strategies Edible insect powder Classification
    Resumen: 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.
    Áreas temáticas: Plant science Microbiology Health professions (miscellaneous) Health (social science) Food science & technology Food science
    Acceso a la licencia de uso: https://creativecommons.org/licenses/by/3.0/es/
    Direcció de correo del autor: barbara.giussani@urv.cat jordi.riu@urv.cat ricard.boque@urv.cat
    Identificador del autor: 0000-0001-5823-9223 0000-0001-7311-4824
    Fecha de alta del registro: 2024-09-07
    Versión del articulo depositado: info:eu-repo/semantics/publishedVersion
    Enlace a la fuente original: https://www.mdpi.com/2304-8158/11/21/3524
    URL Documento de licencia: https://repositori.urv.cat/ca/proteccio-de-dades/
    Referencia al articulo segun fuente origial: Foods. 11 (21):
    Referencia 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
    DOI del artículo: 10.3390/foods11213524
    Entidad: Universitat Rovira i Virgili
    Año de publicación de la revista: 2022
    Tipo de publicación: Journal Publications
  • Palabras clave:

    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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