ArticleFoods (Basel, Switzerland)2022
Exploring the Analytical Complexities in Insect Powder Analysis Using Miniaturized NIR Spectroscopy.
Article in Foods (Basel, Switzerland), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
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Who cites it
4 citing papers in PubMed.
- The influence of the nitrogen-to-protein conversion factors on the prediction of crude protein in black soldier fly larvae (Hermetia illucens) using near-infrared spectroscopy.Analytical and bioanalytical chemistry · 2026Article
- Chitin Assessment in Insect-Based Products from Reference Methods to Near-Infrared Models.Insects · 2025Article
- Near Infrared Spectroscopy for Prediction of Yeast and Mould Counts in Black Soldier Fly Larvae, Feed and Frass: A Proof of Concept.Sensors (Basel, Switzerland) · 2023Article
- Portable NIR spectroscopy: the route to green analytical chemistry.Frontiers in chemistry · 2023Review
Corrections and comments
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Authors and funding
4 authors.
Funding
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.
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Registered trials
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