Ultrahigh performance liquid chromatography mass spectrometry for the determination of azithromycin in canine serum and skin tissue

A simple and reproducible UHPLC-MS assay was developed and validated for quantifying azithromycin in canine serum and skin tissue homogenates. The method employed a Waters Acquity UHPLC with a Quattro Micro triple-quadrupole mass spectrometer operating in positive electrospray mode. Because azithromycin exhibited weak fragmentation between 5 and 30 eV, quantification was performed using the precursor ion ([M + H]<sup>+</sup>, m/z 749.25) in selected-ion recording (SIR) mode, while roxithromycin ([M + H]<sup>+</sup>, m/z 838.6) served as the internal standard. Chromatographic separation on an HSS C18 column (2.1 × 100 mm, 1.7 μm) followed protein precipitation with acetonitrile for sample cleanup. The assay was linear over 0.02-1.2 μg/mL (r<sup>2</sup> > 0.99), with accuracy and precision within ±15% and recovery >85% in both matrices. The lower limit of quantification was 0.02 μg/mL, meeting ICH M10 validation criteria. Application to clinical samples from dogs with Pythium insidiosum and Paralagenidium karlingii infections showed mean azithromycin concentrations of 0.702 μg/mL in serum and 51.8 μg/g in diseased skin following tissue homogenization and dilution prior to analysis, demonstrating extensive tissue accumulation consistent with azithromycin's pharmacokinetic properties. This validated assay provides a sensitive and cost-effective approach for veterinary and translational pharmacokinetic investigations.

Authors

Institutions

Publication Details

Journal
Journal of Chromatography B
Published
2026-03-11
DOI
https://doi.org/10.1016/j.jchromb.2026.125013
Primary Topic
Antibiotics Pharmacokinetics and Efficacy
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Ultrahigh performance liquid chromatography mass spectrometry for the determination of azithromycin in canine serum and skin tissue

Michaela Austel, Michael G. Bartlett
Journal of Chromatography B
Antibiotics Pharmacokinetics and Efficacy
article

Ultrahigh performance liquid chromatography mass spectrometry for the determination of azithromycin in canine serum and skin tissue

Michaela Austel, Michael G. Bartlett
article en

Abstract

A simple and reproducible UHPLC-MS assay was developed and validated for quantifying azithromycin in canine serum and skin tissue homogenates. The method employed a Waters Acquity UHPLC with a Quattro Micro triple-quadrupole mass spectrometer operating in positive electrospray mode. Because azithromycin exhibited weak fragmentation between 5 and 30 eV, quantification was performed using the precursor ion ([M + H]<sup>+</sup>, m/z 749.25) in selected-ion recording (SIR) mode, while roxithromycin ([M + H]<sup>+</sup>, m/z 838.6) served as the internal standard. Chromatographic separation on an HSS C18 column (2.1 × 100 mm, 1.7 μm) followed protein precipitation with acetonitrile for sample cleanup. The assay was linear over 0.02-1.2 μg/mL (r<sup>2</sup> > 0.99), with accuracy and precision within ±15% and recovery >85% in both matrices. The lower limit of quantification was 0.02 μg/mL, meeting ICH M10 validation criteria. Application to clinical samples from dogs with Pythium insidiosum and Paralagenidium karlingii infections showed mean azithromycin concentrations of 0.702 μg/mL in serum and 51.8 μg/g in diseased skin following tissue homogenization and dilution prior to analysis, demonstrating extensive tissue accumulation consistent with azithromycin's pharmacokinetic properties. This validated assay provides a sensitive and cost-effective approach for veterinary and translational pharmacokinetic investigations.

Journal of Chromatography BVol. 1276
University of Georgia (US)
Openalex Percentile: Top 25%
Antibiotics Pharmacokinetics and Efficacy
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.