Issue 6, 2000

Application of principal component regression to luminescence data for the screening of ciprofloxacin and enrofloxacin in animal tissues

Abstract

A new screening method for the analysis of enrofloxacin and ciprofloxacin in edible animal tissues is described. The method is based on the application of principal component regression to luminescence measurements after reaction of quinolones with terbium(III) in a micellar medium. The method was used, first, to discriminate between quinolone-containing or quinolone-not-containing samples (concentration below the detection limit) and, then, to quantify the sum of both analytes. Standards in a pure-water matrix, using the first three principal components, were used for the determination. RRMSE range from 4 to 10% depending on the analyte. Calibration was successfully applied to the analysis of spiked chicken and trout muscle at concentrations between 10 and 50 μg kg−1.

Article information

Article type
Paper
Submitted
23 Dec 1999
Accepted
18 Apr 2000
First published
24 May 2000

Analyst, 2000,125, 1155-1158

Application of principal component regression to luminescence data for the screening of ciprofloxacin and enrofloxacin in animal tissues

J. A. Hernández-Arteseros, R. Compañó, R. Ferrer and M. D. Prat, Analyst, 2000, 125, 1155 DOI: 10.1039/A910275M

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