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Antibiotics 2016, 5(1), 1;

Analysis of Tetracyclines in Medicated Feed for Food Animal Production by HPLC-MS/MS

Department of Analytical Chemistry, Nutrition and Bromatology, Faculty of Veterinary Medicine, University of Santiago de Compostela, 27002 Lugo, Spain
Laboratorio de Sanidad Animal, Lugar Barrio Jove de Arriba, 0 S/N, 33290 Gijón, Spain
These authors contributed equally to this work.
Author to whom correspondence should be addressed.
Academic Editor: Christopher C. Butler
Received: 31 July 2015 / Revised: 1 December 2015 / Accepted: 15 December 2015 / Published: 24 December 2015
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The use of medicated feed is a common practice in animal food production to improve animal health. Tetracyclines and β-Lactams are the groups that are most frequently added to this type of feed. The measurement of the concentration of the analytes in these types of samples is sometimes due to the matrix characteristic, and manufacturers are demanding fast, precise and reproducible methods. A rapid confirmatory method based on a simple extraction protocol using acidified methanol and followed by high performance liquid chromatography coupled to a tandem mass spectrometer for the quantification of four tetracyclines in feed is presented. Validation was performed following the guidelines of Decision 2002/657/EC. Results indicated that the four tetracyclines can be identified and quantified in a concentration range between 50 and 500 mg/kg with recoveries between 84% and 109% and RSD for precision under reproducible conditions between 12% and 16%. Satisfactory results were also obtained with interlaboratory studies and by comparing the method with an HPLC-Fluorescent method. View Full-Text
Keywords: feed; antimicrobial; tetracyclines; HPLC-MS/MS; Decision 2002/657/EC feed; antimicrobial; tetracyclines; HPLC-MS/MS; Decision 2002/657/EC

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Gavilán, R.E.; Nebot, C.; Miranda, J.M.; Martín-Gómez, Y.; Vázquez-Belda, B.; Franco, C.M.; Cepeda, A. Analysis of Tetracyclines in Medicated Feed for Food Animal Production by HPLC-MS/MS. Antibiotics 2016, 5, 1.

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