Literature DB >> 26730550

Development and validation of LC-ESI-MS/MS method for analysis of moxifloxacin and levofloxacin in serum of multidrug-resistant tuberculosis patients: Potential application as therapeutic drug monitoring tool in medical diagnosis.

Sung Joong Lee1, Kebede Taye Desta1, Seok Yong Eum2, Veronique Dartois3, Sang Nae Cho4, Dong-Won Bae5, Sung Chul Shin6.   

Abstract

Moxifloxacin (MFX) and levofloxacin (LFX), class of fluoroquinolone antibiotics, are the two most prescribed drugs to multidrug resistant tuberculosis (MDR-TB) patients. A single, sensitive and reliable LC-ESI-MS/MS method was developed and validated to simultaneously quantitate the levels of these drugs in human serum where enrofloxacin (EFX) was used as internal standard (IS). Quantification was achieved by multiple reaction monitoring of selected mass transitions from precursor ions to product ions m/z 402.2→384.2 for MFX, 362.2→318.2 for LFX, and 362.1→318.3 for EFX. Calibration curves were plotted using concentrations ranging between 0.23-1000ng/mL for MFX and 0.13-1000ng/mL for LFX, and the correlation coefficients (r(2)) were in excess of 0.999. Intra- and inert-day accuracy was ranged between 92.1-104% with mean recoveries of 96% and 95.5% for MFX and LFX, respectively and precision was <9% at all quality control concentration levels. Matrix effect analysis showed extraction efficiency of 93.0-94.6% for MFX and 90.9-99.5% for LFX. Application of the developed method to real sample analysis resulted in efficient quantification of MFX and LFX in serum samples obtained from ten MDR-TB patients. The result indicated that the method could be applied as a potential drug monitoring tool to accurately analyze MFX and LFX within a short run time.
Copyright © 2015 Elsevier B.V. All rights reserved.

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Keywords:  LC–MS/MS; Levofloxacin; Moxifloxacin; Multi-drug resistant tuberculosis; Real sample analysis; Serum

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Year:  2015        PMID: 26730550     DOI: 10.1016/j.jchromb.2015.11.058

Source DB:  PubMed          Journal:  J Chromatogr B Analyt Technol Biomed Life Sci        ISSN: 1570-0232            Impact factor:   3.205


  1 in total

1.  Simultaneous analysis of 11 medications for drug resistant TB in small hair samples to quantify adherence and exposure using a validated LC-MS/MS panel.

Authors:  Roy Gerona; Anita Wen; David Aguilar; Jamie Shum; Andrew Reckers; Peter Bacchetti; Monica Gandhi; John Metcalfe
Journal:  J Chromatogr B Analyt Technol Biomed Life Sci       Date:  2019-07-23       Impact factor: 3.205

  1 in total

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