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[Determination of nitrofuran metabolites residues in animal tissues by LC-MS/MS method].

Authors: Lech, Rodziewicz; Iwona, Zawadzka;

[Determination of nitrofuran metabolites residues in animal tissues by LC-MS/MS method].

Abstract

A LC-MS-MS method is presented to analyze simultaneously the metabolites of four nitrofuran veterinary drugs in animal muscle tissue e.g., furazolidone, furaltadone, nitofurantoina and nitrofurazone. The sample clean up were performed by a liquid-liquid extraction with ethyl acetate, after a hydrolysis and derivatization with 2-nitrobenzaldehyde. Nitrofurane metabolites were determined by LC-ESI-MS/MS in positive mode. The LC was equipped with column Luna C18 Phenomenex. A binary gradient mobile phase was used as methanol solvent B containing 0.5 mM ammonium acetate and methanol (80:20 v/v). The method was validated according to criteria of Decision Commission No 2002/657/EC. Samples were fortified with metabolites of nitrofuran between 0.5-2.0 microg/kg with AOZ-d4, and AMOZ-d5 as internal standard. The mean recoveries from meat spiked at 1.0 microg/kg were 84.5-109.7%. Limit of decision (CCalpha) was between 0.25-0.57 and capability of detection (CCbeta) 0.32-0.77 microg/kg.

Keywords

Quality Control, Spectrometry, Mass, Electrospray Ionization, Nitrofurans, Reproducibility of Results, Veterinary Drugs, Sensitivity and Specificity, Milk, Tandem Mass Spectrometry, Animals, Food Analysis, Chromatography, Liquid

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
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