Exploring the potential of using ion mobility-mass spectrometry to separate matrix interferences from analytes in food control.

Autor: Rasker S; Wageningen Food Safety Research (WFSR), Part of Wageningen University & Research, P.O. Box 230, 6700 AE Wageningen, the Netherlands., Blokland MH; Wageningen Food Safety Research (WFSR), Part of Wageningen University & Research, P.O. Box 230, 6700 AE Wageningen, the Netherlands., Bovee TFH; Wageningen Food Safety Research (WFSR), Part of Wageningen University & Research, P.O. Box 230, 6700 AE Wageningen, the Netherlands., Arrizabalaga-Larrañaga A; Wageningen Food Safety Research (WFSR), Part of Wageningen University & Research, P.O. Box 230, 6700 AE Wageningen, the Netherlands. Electronic address: ane.arrizabalagalarranaga@wur.nl.
Jazyk: angličtina
Zdroj: Journal of chromatography. B, Analytical technologies in the biomedical and life sciences [J Chromatogr B Analyt Technol Biomed Life Sci] 2024 Apr 15; Vol. 1237, pp. 124086. Date of Electronic Publication: 2024 Mar 11.
DOI: 10.1016/j.jchromb.2024.124086
Abstrakt: During residue analysis in complex matrices for food safety purposes, interfering signals can sometimes overlap with those of the analyte of interest. Access to an additional separation dimension besides chromatographic and mass separation, such as ion mobility, can aid in removing interfering signals, allowing for correct analyte identification in these cases. In our laboratory, during routine LC-MS/MS analysis of liver samples for growth promoter residues, an interfering signal was found that matches the retention time and m/z values for stanozolol, a synthetic anabolic steroid. In the present work, the performance of a liquid chromatography coupled to ion mobility mass spectrometry (LC-IM-MS) method has been evaluated to study whether this LC-MS/MS false positive in liver samples could be eliminated by LC-IM-MS analysis. A cyclic ion mobility system already allowed the separation of stanozolol from the interfering peak after only one pass, showing a significant improvement compared to the conventional LC-MS/MS method. Additionally, collisional cross section (CCS) values were calculated and successfully compared with those from literature for identification purposes, eventually allowing both the identification and quantification of stanozolol in this complex matrix.
Competing Interests: Declaration of competing interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.
(Copyright © 2024 The Author(s). Published by Elsevier B.V. All rights reserved.)
Databáze: MEDLINE
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