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dc.contributor.authorVarunjikar, Madhushri Shrikant
dc.contributor.authorBelghit, Ikram
dc.contributor.authorGjerde, Jennifer
dc.contributor.authorPalmblad, Magnus
dc.contributor.authorOveland, Eystein
dc.contributor.authorRasinger, Josef
dc.date.accessioned2022-08-12T10:34:55Z
dc.date.available2022-08-12T10:34:55Z
dc.date.created2022-05-30T16:29:10Z
dc.date.issued2022
dc.identifier.citationFood Control. 2022, 137 1-11.en_US
dc.identifier.issn0956-7135
dc.identifier.urihttps://hdl.handle.net/11250/3011579
dc.description.abstractUntargeted proteomics can contribute to composition and authenticity analyses of highly processed mixed food and feed products. Here, we present the setup of an analytical flow tandem mass spectrometry method (AF-HPLC HR-MS) for analysis of insect meal from five different species. Data acquired were compared with previously published data employing spectra matching and standard bottom-up proteomics bioinformatics analyses. In addition, data were screened for insect species marker peptides and common allergens, respectively. The results obtained indicate that the performance of the newly established AF-HPLC HR-MS workflow is in line with previously published methods for insect species differentiation. Data obtained in the present study, also lead to the discovery of novel markers for the development of targeted MS analyses of insect species in food- and feed-mixes and highlighted that known allergen such as arginine kinase or tropomyosin were consistently detected across all five species tested.en_US
dc.language.isoengen_US
dc.titleShotgun proteomics approaches for authentication, biological analyses, and allergen detection in feed and food-grade insect speciesen_US
dc.title.alternativeShotgun proteomics approaches for authentication, biological analyses, and allergen detection in feed and food-grade insect speciesen_US
dc.typePeer revieweden_US
dc.typeJournal articleen_US
dc.description.versionpublishedVersionen_US
dc.source.pagenumber1-11en_US
dc.source.volume137en_US
dc.source.journalFood Controlen_US
dc.identifier.doi10.1016/j.foodcont.2022.108888
dc.identifier.cristin2028211
cristin.ispublishedtrue
cristin.fulltextoriginal
cristin.qualitycode1


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