Utilize este identificador para referenciar este registo: https://hdl.handle.net/10316/27927
Título: Multi-residue and multi-class method for the determination of antibiotics in bovine muscle by ultra-high-performance liquid chromatography tandem mass spectrometry
Autor: Freitas, Andreia 
Barbosa, Jorge 
Ramos, Fernando 
Palavras-chave: Antibiotics; Multi-class; Multi-detection; UHPLC–MS/MS; Muscle; Validation
Data: Set-2014
Editora: Elsevier
Citação: FREITAS, Andreia; BARBOSA, Jorge; RAMOS, Fernando - Multi-residue and multi-class method for the determination of antibiotics in bovine muscle by ultra-high-performance liquid chromatography tandem mass spectrometry. "Meat Science". ISSN 0309-1740. Vol. 98 Nº. 1 (2014) p. 58–64
Título da revista, periódico, livro ou evento: Meat Science
Volume: 98
Número: 1
Resumo: A multi-residue quantitative screening method covering 41 antibiotics from 7 different families, by ultra-high-performance–liquid-chromatography tandem mass spectrometry (UHPLC–MS/MS), is described. Sulfonamides, trimethoprim, tetracyclines, macrolides, quinolones, penicillins and chloramphenicol are simultaneously detected after a simple sample preparation of bovine muscle optimized to achieve the best recovery for all compounds. A simple sample treatment was developed consisting in an extraction with a mixture of acetonitrile and ethylenediaminetetraacetic acid (EDTA), followed by a defatting step with n-hexane. The methodology was validated, in accordance with Decision 2002/657/EC by evaluating the required parameters: decision limit (CCα), detection capability (CCβ), specificity, repeatability and reproducibility. Precision in terms of relative standard deviation was under 20% for all compounds and the recoveries between 91% and 119%. CCα and CCβ were determined according the maximum residue limit (MRL) or the minimum required performance limit (MRPL), when required.
URI: https://hdl.handle.net/10316/27927
ISSN: 0309-1740
DOI: 10.1016/j.meatsci.2014.04.003
Direitos: openAccess
Aparece nas coleções:I&D CNC - Artigos em Revistas Internacionais

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