Related Experiment Video
Updated: May 13, 2026

Quadruple-Checkerboard: A Modification of the Three-Dimensional Checkerboard for Studying Drug Combinations
Published on: July 24, 2021
Pharmacokinetic analysis of cefquinome in healthy chickens
Abstract:
1. The pharmacokinetics of cefquinome (CEQ) in chickens was determined after intravenous (IV) and intramuscular (IM) administration of 2 mg/kg body weight. Plasma concentrations were measured by high performance liquid chromatography assay with an ultraviolet detector at 265 nm wavelength. 2. Plasma concentration-time data after IV administration were best fitted by a two-compartment model. The pharmacokinetic parameters following IV injection were distribution half-life 0·43 ± 0·19 h, elimination half-life 1·29 ± 0·10 h, total body clearance 0·35 ± 0·04 l/kg/h, area under curve 5·33 ± 0·55 µg/h/ml and volume of distribution at steady state 0·49 ± 0·05 l/kg. 3. Plasma concentration-time data after IM administration were best described by a two-compartment model. The pharmacokinetic parameters after IM administration were absorption half-life 0·07 ± 0·02 h, distribution half-life 0·58 ± 0·27 h, elimination half-life 1·35 ± 0·20 h, peak concentration 3·04 ± 0·71 µg/ml and bioavailability 95·81 ± 5·81%. 4. Cefquinome kinetics in chicken and data from other species were summarised and analysed to provide a comprehensive understanding of CEQ pharmacokinetics.
More Related Videos
11:17Multiplex Therapeutic Drug Monitoring by Isotope-dilution HPLC-MS/MS of Antibiotics in Critical Illnesses
Published on: August 30, 2018
07:28Metabolic Profiling to Determine Bactericidal or Bacteriostatic Effects of New Natural Products using Isothermal Microcalorimetry
Published on: October 29, 2020
Related Concept Videos
Measurement of Bioavailability: Pharmacokinetic Methods
Pharmacodynamic Models: Overview
Pharmaceutical Alternatives: Stability-Related Therapeutic Nonequivalence
Estimation of k and VD of Aminoglycosides
Measurement of Bioavailability: Pharmacodynamic Methods
Pharmacodynamic Models: Linear Concentration–Effect Model