Reference : Species-Specific Discrimination of Insect Meals for Aquafeeds by Direct Comparison of...
Scientific journals : Article
Life sciences : Veterinary medicine & animal health
Life sciences : Agriculture & agronomy
http://hdl.handle.net/2268/235529
Species-Specific Discrimination of Insect Meals for Aquafeeds by Direct Comparison of Tandem Mass Spectra
English
Belghit, Ikram []
Lock, Erik-Jan []
Fumière, Olivier []
Lecrenier, Marie-Caroline mailto [Université de Liège - ULiège > > > Doct. sc. vété. (Bologne)]
Renard, Patricia []
Dieu, Marc []
Berntssen, Marc []
Palmblad, Magnus []
Rasinger, J.D. []
2019
Animals
9
5
222
Yes
International
[en] insect meal ; shotgun proteomics ; species differentiation ; protein quantification
[en] Insect protein has the potential to become a sustainable feed ingredient for the rapidly growing aquaculture industry. In the European Union, insect derived protein is placed under the same legislation as processed animal proteins (PAP). It is therefore of interest to develop methods for
regulatory use, which unambiguously identify the species origin of insect-based ingredients. We performed (i) total protein quantification of insect samples using the traditional nitrogen-to-protein conversion factor of 6.25 and the sum of anhydrous amino acids, (ii) quantitative amino acid profiling and (iii) high-throughput tandem mass spectrometry to describe and differentiate 18 different commercial-grade insect meal samples derived from Hermetia illucens (8), Tenebrio molitor (5), Alphitobius diaperinus (3) and Acheta domesticus (2). In addition, we investigated and compared different protein extraction and digestion protocols for proteomic analysis. We found that irrespective of sample preparation, shotgun proteomics in combination with direct spectral comparison were able to differentiate insect meal according to their taxonomic classification. The insect specific spectral libraries created in the present work can in future be used to develop more sensitive targeted methods of insect PAP identification and quantification in commercial feed mixtures.
http://hdl.handle.net/2268/235529
10.3390/ani9050222

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