Multi-Allergen Quantification in Food Using Concatemer-Based Isotope Dilution Mass Spectrometry: An Interlaboratory Study.


Journal

Journal of AOAC International
ISSN: 1944-7922
Titre abrégé: J AOAC Int
Pays: England
ID NLM: 9215446

Informations de publication

Date de publication:
17 Jul 2023
Historique:
received: 30 11 2022
revised: 15 03 2023
accepted: 15 03 2023
medline: 18 7 2023
pubmed: 25 3 2023
entrez: 24 3 2023
Statut: ppublish

Résumé

Food allergen analysis is essential for the development of a risk-based approach for allergen management and labeling. MS has become a method of choice for allergen analysis, even if quantification remains challenging. Moreover, harmonization is still lacking between laboratories, while interlaboratory validation of analytical methods is necessary for such harmonization. This interlaboratory study aimed to evaluate the potential of MS for food allergen detection and quantification using a standard addition quantification strategy and a stable isotope-labeled (SIL) concatemer as an internal standard. In-house-produced test material (cookies), blank and incurred with four allergens (egg, milk, peanut, and hazelnut), allergen standards, an internal standard, and the complete methodology (including sample preparation and ultra-HPLC-MS/MS method) were provided to nine laboratories involved in the study. Method sensitivity and selectivity were evaluated with incurred test material and accuracy with spiked test material. Quantification was based on the standard addition strategy using certified reference materials as allergen protein standards and a SIL concatemer as an internal standard. All laboratories were able to detect milk, hazelnut, and peanut in the incurred cookies with sufficient sensitivity to reach the AOAC INTERNATIONAL Standard Method Performance Requirements (SMPR® 2016.002). Egg detection was more complicated due to food processing effects, yet five laboratories reached the sensitivity requirements. Recovery results were laboratory-dependent. Some milk and hazelnut peptides were quantified in agreement with SMPR 2016.002 by all participants. Furthermore, over 90% of the received quantification results agreed with SMPR 2016.002 for method precision. The encouraging results of this pioneering interlaboratory study represent an additional step towards harmonization among laboratories testing for allergens. In this pioneering interlaboratory study, food allergens were analyzed by MS with characterized incurred and spiked test materials, calibrated with a certified reference material, and a single SIL concatemer used as an internal standard.

Sections du résumé

BACKGROUND BACKGROUND
Food allergen analysis is essential for the development of a risk-based approach for allergen management and labeling. MS has become a method of choice for allergen analysis, even if quantification remains challenging. Moreover, harmonization is still lacking between laboratories, while interlaboratory validation of analytical methods is necessary for such harmonization.
OBJECTIVE OBJECTIVE
This interlaboratory study aimed to evaluate the potential of MS for food allergen detection and quantification using a standard addition quantification strategy and a stable isotope-labeled (SIL) concatemer as an internal standard.
METHODS METHODS
In-house-produced test material (cookies), blank and incurred with four allergens (egg, milk, peanut, and hazelnut), allergen standards, an internal standard, and the complete methodology (including sample preparation and ultra-HPLC-MS/MS method) were provided to nine laboratories involved in the study. Method sensitivity and selectivity were evaluated with incurred test material and accuracy with spiked test material. Quantification was based on the standard addition strategy using certified reference materials as allergen protein standards and a SIL concatemer as an internal standard.
RESULTS RESULTS
All laboratories were able to detect milk, hazelnut, and peanut in the incurred cookies with sufficient sensitivity to reach the AOAC INTERNATIONAL Standard Method Performance Requirements (SMPR® 2016.002). Egg detection was more complicated due to food processing effects, yet five laboratories reached the sensitivity requirements. Recovery results were laboratory-dependent. Some milk and hazelnut peptides were quantified in agreement with SMPR 2016.002 by all participants. Furthermore, over 90% of the received quantification results agreed with SMPR 2016.002 for method precision.
CONCLUSION CONCLUSIONS
The encouraging results of this pioneering interlaboratory study represent an additional step towards harmonization among laboratories testing for allergens.
HIGHLIGHTS CONCLUSIONS
In this pioneering interlaboratory study, food allergens were analyzed by MS with characterized incurred and spiked test materials, calibrated with a certified reference material, and a single SIL concatemer used as an internal standard.

Identifiants

pubmed: 36961330
pii: 7085585
doi: 10.1093/jaoacint/qsad041
doi:

Substances chimiques

Allergens 0
Peptides 0

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

886-898

Subventions

Organisme : Belgian Federal Public Service of Health, Food Chain Safety and Environment
ID : RT 15/10 ALLERSENS

Informations de copyright

© The Author(s) 2023. Published by Oxford University Press on behalf of AOAC INTERNATIONAL. All rights reserved. For permissions, please email: journals.permissions@oup.com.

Auteurs

Maxime Gavage (M)

CER Groupe, 8 Rue du Point du Jour, 6900 Marloie, Belgium.

Kaatje Van Vlierberghe (K)

ILVO Flanders Research Institute for Agriculture, Fisheries and Food, Technology and Food Science Unit, 370 Brusselsesteenweg, 9090 Melle, Belgium.

Marc Dieu (M)

University of Namur, Laboratory of Biochemistry and Cell Biology (URBC), Namur Research Institute for Life Sciences (NARILIS), 61 Rue de Bruxelles, 5000 Namur, Belgium.

Patsy Renard (P)

University of Namur, Laboratory of Biochemistry and Cell Biology (URBC), Namur Research Institute for Life Sciences (NARILIS), 61 Rue de Bruxelles, 5000 Namur, Belgium.

Thierry Arnould (T)

University of Namur, Laboratory of Biochemistry and Cell Biology (URBC), Namur Research Institute for Life Sciences (NARILIS), 61 Rue de Bruxelles, 5000 Namur, Belgium.

Kris Gevaert (K)

VIB-UGent, Center for Medical Biotechnology, 75 Technologiepark-Zwijnaarde, 9052 Ghent, Belgium.
Ghent University, Department of Biomolecular Medicine, 75 Technologiepark-Zwijnaarde, 9052 Ghent, Belgium.

Marc De Loose (M)

ILVO Flanders Research Institute for Agriculture, Fisheries and Food, Technology and Food Science Unit, 370 Brusselsesteenweg, 9090 Melle, Belgium.

Christof Van Poucke (C)

ILVO Flanders Research Institute for Agriculture, Fisheries and Food, Technology and Food Science Unit, 370 Brusselsesteenweg, 9090 Melle, Belgium.

Anne-Catherine Huet (AC)

CER Groupe, 8 Rue du Point du Jour, 6900 Marloie, Belgium.

Nathalie Gillard (N)

CER Groupe, 8 Rue du Point du Jour, 6900 Marloie, Belgium.

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Classifications MeSH