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Analytical and Bioanalytical Chemistry

, Volume 410, Issue 22, pp 5653–5662 | Cite as

In house validation of a high resolution mass spectrometry Orbitrap-based method for multiple allergen detection in a processed model food

  • Rosa Pilolli
  • Elisabetta De Angelis
  • Linda Monaci
Research Paper
Part of the following topical collections:
  1. Food Safety Analysis

Abstract

In recent years, mass spectrometry (MS) has been establishing its role in the development of analytical methods for multiple allergen detection, but most analyses are being carried out on low-resolution mass spectrometers such as triple quadrupole or ion traps. In this investigation, performance provided by a high resolution (HR) hybrid quadrupole-Orbitrap™ MS platform for the multiple allergens detection in processed food matrix is presented. In particular, three different acquisition modes were compared: full-MS, targeted-selected ion monitoring with data-dependent fragmentation (t-SIM/dd2), and parallel reaction monitoring. In order to challenge the HR-MS platform, the sample preparation was kept as simple as possible, limited to a 30-min ultrasound-aided protein extraction followed by clean-up with disposable size exclusion cartridges. Selected peptide markers tracing for five allergenic ingredients namely skim milk, whole egg, soy flour, ground hazelnut, and ground peanut were monitored in home-made cookies chosen as model processed matrix. Timed t-SIM/dd2 was found the best choice as a good compromise between sensitivity and accuracy, accomplishing the detection of 17 peptides originating from the five allergens in the same run. The optimized method was validated in-house through the evaluation of matrix and processing effects, recoveries, and precision. The selected quantitative markers for each allergenic ingredient provided quantification of 60–100 μgingred/g allergenic ingredient/matrix in incurred cookies.

Keywords

High resolution mass spectrometry Multi-allergen detection Processed matrix Incurred samples Peptide marker In house validation 

Notes

Acknowledgments

Roberto Schena is kindly acknowledged for his technical aid in performing MS measurements. Besana group S.p.A. is also acknowledged for kindly providing hazelnuts and peanuts.

Funding

The work was funded by the project Safe & Smart—Nuove tecnologie abilitanti per la food safety e l’integrità delle filiere agro-alimentari in uno scenario globale—National CL.AN-Cluster agroalimentare nazionale programma area 2. The equipment used in this work was supported by the “Biodiversità per la valorizzazione e sicurezza delle produzioni alimentari tipiche pugliesi, BioNet-PTP” project (Cod. 73) funded by Programma Operativo Regionale Puglia FESR 2000-2006 - Risorse liberate - Obiettivo Convergenza.

Compliance with ethical standards

Conflict of interest

The authors declare that they have no conflict of interest.

Ethical approval

This article does not contain any studies with human participants or animals performed by any of the authors.

Informed consent

Not applicable.

Supplementary material

216_2018_927_MOESM1_ESM.pdf (220 kb)
ESM 1 (PDF 219 kb)

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Copyright information

© Springer-Verlag GmbH Germany, part of Springer Nature 2018

Authors and Affiliations

  • Rosa Pilolli
    • 1
  • Elisabetta De Angelis
    • 1
  • Linda Monaci
    • 1
  1. 1.Institute of Sciences of Food ProductionNational Research Council (ISPA-CNR)BariItaly

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