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

  • Identification data

    Identifier: imarina:9286954
    Authors:
    Riu, JordiVega, AlbaBoque, RicardGiussani, Barbara
    Abstract:
    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.
  • Others:

    Author, as appears in the article.: Riu, Jordi; Vega, Alba; Boque, Ricard; Giussani, Barbara;
    Department: Química Analítica i Química Orgànica
    URV's Author/s: Boqué Martí, Ricard / Giussani, Barbara / Riu Rusell, Jordi
    Keywords: Safety Reflectance Prediction of macronutrients Particle-size Near-infrared spectroscopy Miniaturized instrumentation Measurement strategies Edible insect powder Classification
    Abstract: 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.
    Thematic Areas: Plant science Microbiology Health professions (miscellaneous) Health (social science) Food science & technology Food science
    licence for use: https://creativecommons.org/licenses/by/3.0/es/
    Author's mail: barbara.giussani@urv.cat jordi.riu@urv.cat ricard.boque@urv.cat
    Author identifier: 0000-0001-5823-9223 0000-0001-7311-4824
    Record's date: 2024-09-07
    Papper version: info:eu-repo/semantics/publishedVersion
    Link to the original source: https://www.mdpi.com/2304-8158/11/21/3524
    Licence document URL: https://repositori.urv.cat/ca/proteccio-de-dades/
    Papper original source: Foods. 11 (21):
    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
    Article's DOI: 10.3390/foods11213524
    Entity: Universitat Rovira i Virgili
    Journal publication year: 2022
    Publication Type: Journal Publications
  • Keywords:

    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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