Determination of Antimicrobial Residues in Honey by Liquid Chromatography Tandem Mass Spectrometry
| Autor: | Mary Sohn, Enikő Barta, Ádám Tölgyesi, Virender K. Sharma |
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| Rok vydání: | 2018 |
| Předmět: |
Maximum Residue Limit
medicine.drug_class Antibiotics 01 natural sciences Applied Microbiology and Biotechnology Analytical Chemistry 0404 agricultural biotechnology Liquid chromatography–mass spectrometry medicine media_common.cataloged_instance European union Safety Risk Reliability and Quality media_common Chromatography Chemistry 010401 analytical chemistry Aminoglycoside 04 agricultural and veterinary sciences Antimicrobial 040401 food science Monitoring program 0104 chemical sciences Lincomycin Safety Research Food Science medicine.drug |
| Zdroj: | Food Analytical Methods. 11:2043-2055 |
| ISSN: | 1936-976X 1936-9751 |
| DOI: | 10.1007/s12161-018-1166-5 |
| Popis: | Antibiotics are generally used worldwide against bacterial diseases in the treatment of food-producing animals. Since the residues of active agents or their metabolites can appear in these foods, the European Union, for instance, has set maximum residue limit concentrations for authorised veterinary drugs in foodstuffs. However, as yet, regulatory limits have not been established for honey and thus far, only recommendations exist. The aim of this study is to present a multiscreening method for residues in honey for the determination of 36 antimicrobial residues associated with several antibiotics of the B1 group (sulfonamides, trimethoprim, aminoglycosides, tetracyclines, quinolones and lincomycin) as well as the antibiotic griseofulvin. During the screening analysis, samples are hydrolysed in an acidified medium, purified on polymeric solid-phase extraction cartridges and subsequently analysed by reversed phase ion pair liquid chromatography tandem mass spectrometry. The liquid chromatographic separation was optimised by computer simulation with DryLab software. The positive identification of target compounds in suspicious samples was confirmed using earlier developed antibiotic class specific methods of which the aminoglycoside method is herein described in detail. The developed approaches were then applied to samples in the national monitoring program after their successful validation. Moreover, the screening and confirmatory methods were applied to proficiency test samples resulting in satisfactory identification and quantification. However, the analysis of real samples revealed that co-eluting target compounds can have considerable influence on the accuracy of this semi-quantitative multiscreening method. |
| Databáze: | OpenAIRE |
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