Food Analytical Methods

, Volume 9, Issue 1, pp 23–29 | Cite as

Matrix Effects in Ultra-High-Performance Liquid Chromatography–Tandem Mass Spectrometry Antibiotic Multi-Detection Methods in Food Products with Animal Origins

Article
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Abstract

The efficiency of multi-detection screening methods, based on liquid chromatography coupled with tandem mass spectrometry, has been proven in recent years. However, when simultaneously analyzing different groups of compounds with different physicochemical properties, the specificity of sample preparation has to be minimized. In mass spectrometry, this situation can lead to ion suppression or enhancement of signals due to interferences coming from the matrices. This phenomenon was studied to understand the real impact in routine analysis. Matrix interferences were monitored in extracts of milk, muscle, liver, and fish for 40 antibiotics using recently developed and validated multi-detection methods with ultra-high pressure liquid chromatography–tandem mass spectrometry (UHPLC-MS/MS). Although a significant dispersion in the results was observed, for most of compounds, ion suppression is the major problem that, although it does not compromise the screening methods, can prevent the use of multi-detection for confirmation and quantification of antibiotic residues in food matrices.

Keywords

Antibiotics UHPLC-MS/MS Multi-detection Matrix effects 
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Notes

Acknowledgments

Part of this study was funded by FEDER through the Operational Program for Competitiveness Factors—COMPETE, through FCT—the Portuguese Foundation for Science and Technology—under the Project PTDC/AGR/ALI/122119/2010.

Compliance with Ethics Requirements

This article does not contain any studies with human or animal subjects.

Conflict of Interest

Andreia Freitas, Jorge Barbosa, and Fernando Ramos declare that they have no conflict of interest.

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Copyright information

© Springer Science+Business Media New York 2015

Authors and Affiliations

  • Andreia Freitas
    • 1
    • 2
  • Jorge Barbosa
    • 1
    • 2
  • Fernando Ramos
    • 2
    • 3
  1. 1.INIAV-LNIV, Laboratório Nacional de Investigação VeterináriaLisboaPortugal
  2. 2.CEF-Center for Pharmaceutical Studies, Health Sciences Campus, Pharmacy FacultyUniversity of CoimbraCoimbraPortugal
  3. 3.CNC-Centre for Neuroscience and Cell Biology, Health Sciences Campus, Pharmacy FacultyUniversity of CoimbraCoimbraPortugal

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