Contribution of vibrational spectroscopy to the characterisation and detection of insect meal in compound feed
- Anselmo, A. , Pissard, A. , Vincke, D. , Arnould, Q. , Lecler, B. , Gofflot, S. , Michez, D. & Baeten, V. (2025). Contribution of vibrational spectroscopy to the characterisation and detection of insect meal in compound feed. Italian Journal of Animal Science, 24: (1), 761-771.
| Type | Journal Article |
| Year | 2025 |
| Title | Contribution of vibrational spectroscopy to the characterisation and detection of insect meal in compound feed |
| Journal | Italian Journal of Animal Science |
| Label | U12-0216-Anselmo-2025 |
| Volume | 24 |
| Issue | 1 |
| Pages | 761-771 |
| Endnote Keywords | Vibrational spectroscopy; characterisation; authentication; insect meal; feed |
| Abstract | Insect-based products, such as insect meals, have experienced significant growth in recent years due to their composition, making them excellent substitutes for commonly used ingredients in feed. Currently, only eight insect species are authorised for use in feed, and their nutritional value varies depending on species, developmental stages, and diet. To ensure nutritional quality and compliance with current legislation, it is essential to develop tools to monitor insect-based products. In this context, two Near Infrared (NIR) spectroscopy techniques have been developed to determine the chemical composition of various insect meals and to distinguish and detect them in compound feeds. First, NIR Spectroscopy (NIRS) allowed for the assessment of protein, lipid, and moisture contents in several insect products, achieving coefficients of determination greater than 0.95 and low cross-validation errors. Secondly, NIR Microscopy (NIRM) enabled the differentiation of insect products from plant and animal products and was also able to detect the presence of insect meals at low inclusion rates in feed. These results suggest that NIR spectroscopy techniques can be effective, non-destructive tools for the characterisation, differentiation, and detection of insect-based products. |
| Fichier | |
| Lien | https://doi.org/10.1080/1828051X.2025.2468337 |
| Authors | Anselmo, A., Pissard, A., Vincke, D., Arnould, Q., Lecler, B., Gofflot, S., Michez, D., Baeten, V. |
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