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Assignment of a Reference Value of Total Cow's Milk Protein Content in Baked Cookies Used in an Interlaboratory Comparison.
Breidbach, Andreas; Nørgaard, Jørgen Vinther; Cubero-Leon, Elena; Martinez Esteso, Maria Jose.
Afiliación
  • Breidbach A; European Commission, Joint Research Centre (JRC), 2440 Geel, Belgium.
  • Nørgaard JV; European Commission, Joint Research Centre (JRC), 2440 Geel, Belgium.
  • Cubero-Leon E; European Commission, Joint Research Centre (JRC), 2440 Geel, Belgium.
  • Martinez Esteso MJ; European Commission, Joint Research Centre (JRC), 2440 Geel, Belgium.
Foods ; 11(6)2022 Mar 18.
Article en En | MEDLINE | ID: mdl-35327290
ABSTRACT
Interlaboratory comparisons (ILC) in the food allergens field mainly rely on the use of consensus values per applied methodology or even per type of an ELISA test kit. Results suggest good reproducibility; however, possible biases may not be recognized since metrological traceability to an independent reference is lacking. The work presented here utilizes isotope dilution mass spectrometry (IDMS) to assign a reference value of the total cow's milk protein (TCMP) content in a baked cookie and its associated uncertainty. TCMP consists of several individual proteins, of which five (representing 92%) served us as markers for TCMP. Per marker, one to four proteotypic peptides were selected for the quantification. These were synthesized, and the mass fractions of respective reference solutions were determined with peptide-impurity-corrected amino acid analysis to establish traceability to SI units. Stable isotope labelled ("heavy") analogues of the proteotypic peptides were also synthesized and blended with extracts of the test material or the reference solutions for IDMS. Through careful measurement design minimizing biases, well-defined model equations were developed, allowing appropriate estimation of the associated uncertainty. The determined reference value of 11.8 ± 1.1 mg TCMP/kg cookie was used for scoring of a novel ILC.
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Tipo de estudio: Prognostic_studies Idioma: En Revista: Foods Año: 2022 Tipo del documento: Article País de afiliación: Bélgica

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Tipo de estudio: Prognostic_studies Idioma: En Revista: Foods Año: 2022 Tipo del documento: Article País de afiliación: Bélgica