Proteomics based approach for edible insect fingerprinting in novel food: Differential efficiency according to selected model species.
- Francis, F. , Mazzucchelli, G. , Baiwir, D. , Debode, F. , Berben, G. & Megido, R.C. (2020). Proteomics based approach for edible insect fingerprinting in novel food: Differential efficiency according to selected model species. Food Control, 112: (https://doi.org/10.1016/j.foodcont.2020.107135), 107135.
| Type | Journal Article |
| Year | 2020 |
| Title | Proteomics based approach for edible insect fingerprinting in novel food: Differential efficiency according to selected model species. |
| Journal | Food Control |
| Volume | 112 |
| Issue | https://doi.org/10.1016/j.foodcont.2020.107135 |
| Pages | 107135 |
| Date | January 2020 |
| Endnote keywords | Proteomics, Edible insect, Food control |
| Abstract | For insect-based formulations, food analysis is essential to ensure authenticity. According to the spread of the real-time-polymerase chain reaction technique, it started to be tested for entomological occurrence in food with limited success according to the insect species to be detected. Mass spectrometry-based proteomic methods are increasingly being used for the specific detection of trace amounts in food products. Here, we focused on the potential use of proteomic analyses to detect four edible insect species namely Tenebrio molitor, Hermetia illucens, Alphitobius diaperinus and Gryllus assimilis in insect commercial flours. Reproducible results were obtained from liquid chromatography-mass spectrometry with heterogenous efficiency rates on insect identification according to the target species. Indeed, Tenebrio molitor and Gryllus assimilis were identified at species and genus level respectively whereas no efficient results at these taxonomic levels could be found for Hermetia illucens. Future applications of proteomics for edible insect detection in food are discussed in relation to available data and model. |
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| Authors | Francis, F., Mazzucchelli, G., Baiwir, D., Debode, F., Berben, G., Megido, R.C. |
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