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Updated: Jun 29, 2026

A Tandem Liquid Chromatography–Mass Spectrometry-based Approach for Metabolite Analysis of Staphylococcus aureus
Published on: March 28, 2017
Simultaneous Measurement of 11 Antibiotics for Use in the Intensive Care Unit by Ultra-High Performance Liquid
Hanna Woksepp1,2, Louise Karlsson3, Andreas Ärlemalm3
1Department of Clinical Microbiology, Kalmar County Hospital, Kalmar.
Background:
Recent studies indicate that a high proportion of patients in the intensive care unit fail to attain adequate antibiotic levels. Thus, there is a need to monitor the antibiotic concentration to ensure effective treatment. In this article, the authors aimed to develop an ultra-high performance liquid chromatography-tandem mass spectrometry (UHPLC-MS/MS) method for the simultaneous quantification of antimicrobials to assess individualized therapeutic drug monitoring.
Methods:
A UHPLC-MS/MS method with 11 antibiotics (ciprofloxacin, moxifloxacin, benzylpenicillin, levofloxacin, linezolid, rifampicin, meropenem, cloxacillin, cefotaxime, clindamycin, and piperacillin) was developed. Chromatographic separation was performed using a Kinetex Biphenyl reversed-phase column, with gradient elution using 0.1% formic acid and methanol with 0.1% formic acid. Sample preparation was performed using methanol protein precipitation. The total run time was 5 minutes.
Results:
For all analytes, the interassay inaccuracies for calibrators were ≤5%. The interday inaccuracies for the quality controls (QCs) were ≤5% for all analytes. The interassay precision for calibration standards ranged between 1.42% and 6.11%. The interassay imprecision for QCs of all antibiotics and concentrations ranged between 3.60% and 16.1%. Interassay inaccuracy and imprecision for the QCs and calibration standards were ≤15% for all drugs, except benzylpenicillin.
Conclusions:
A rapid UHPLC-MS/MS method was developed for the simultaneous quantification of 11 different antibiotics. Minimal sample preparation was required to ensure a rapid turnaround time. The method was applied to clinical samples collected from 4 intensive care units.
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