Determination of Ciprofloxacin, the Major Metabolite of Enrofloxacin, in Milk by Isopotential Fluorimetry

A new method for the determination of ciprofloxacin, the major metabolite of enrofloxacin, for concentrations between 20 and 200 ng/mL by means of matrix isopotential synchronous fluorescence spectrometry and derivative techniques is proposed. This new method is useful for the determination of compo...

Full description

Saved in:
Bibliographic Details
Published in:Journal of agricultural and food chemistry 2008-10, Vol.56 (19), p.8838-8843
Main Authors: MURILLO PULGARIN, J. A, ALANON MOLINA, A, FERNANDEZ, L. Munoz
Format: Article
Language:English
Subjects:
Analytical Methods
Animals
Anti-Infective Agents - analysis
Biological and medical sciences
chemical concentration
Ciprofloxacin
Ciprofloxacin - analysis
detection
drug residues
enrofloxacin
fluorimetry
food contamination
Food industries
Fundamental and applied biological sciences. Psychology
Hydrogen-Ion Concentration
isopotential
milk
Milk - chemistry
milk analysis
Milk and cheese industries. Ice creams
milk composition
repeatability
Spectrometry, Fluorescence - methods
Citations: Items that this one cites
Items that cite this one
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:A new method for the determination of ciprofloxacin, the major metabolite of enrofloxacin, for concentrations between 20 and 200 ng/mL by means of matrix isopotential synchronous fluorescence spectrometry and derivative techniques is proposed. This new method is useful for the determination of compounds in samples with unknown background fluorescence, such as ciprofloxacin in whey, without the need of tedious preseparation. The determination was performed in an ethanol/water medium (20% v/v) at pH 4.8, provided by adding a sodium acetate/acetic acid buffer solution. Since enrofloxacin is widely used as an antibacterial agent in veterinary medicine, the method was successfully applied to the determination of its main metabolite in milk. An exhaustive statistical analysis has been developed to all calibration graphs. This treatment includes robust regression such as least median of squares, which also detects outliers and leverage points. The overall least-squares regression has been applied to find the more exact straight line that fits the experimental data. The error propagation has been considered to calculate the detection limit and the repeatability of the method.
ISSN:0021-8561
1520-5118
DOI:10.1021/jf801094g