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Updated: Jun 12, 2026

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LC-MS Analysis of Human Platelets as a Platform for Studying Mitochondrial Metabolism
Published on: April 4, 2016
Ultra-performance LC MS/MS method for quantification of clopidogrel active metabolite
Xavier Delavenne1, Thierry Basset, Paul Zufferey
1Laboratory of Pharmacology and Toxicology, University Hospital, Saint-Etienne, France. xavier.delavenne@chu-st-etienne.fr
Journal of Separation Science
|June 10, 2010
Summary
A new ultra-performance LC-MS method accurately quantifies clopidogrel active metabolite in plasma. This rapid 5-minute assay is suitable for pharmacokinetic studies.
Area of Science:
- Analytical Chemistry
- Pharmacokinetics
- Biomedical Science
Background:
- Clopidogrel is a widely prescribed antiplatelet medication.
- Monitoring clopidogrel active metabolite levels is crucial for assessing therapeutic efficacy and patient compliance.
- Existing quantification methods may be time-consuming or lack the required sensitivity.
Purpose of the Study:
- To develop and validate a rapid and sensitive ultra-performance liquid chromatography-tandem mass spectrometry (LC-MS/MS) method.
- To quantify the active metabolite of clopidogrel in human plasma.
- To apply the validated method in pharmacokinetic studies.
Main Methods:
- Ultra-performance liquid chromatography (UPLC) coupled with tandem mass spectrometry (MS/MS).
- Plasma sample preparation via a single-step acetonitrile protein precipitation.
- Reverse-phase chromatography using a C8 column for separation.
- Quantification using clopidogrel D4 as the internal standard.
Main Results:
- The method demonstrated linearity over a concentration range of 1-150 ng/mL.
- Intra- and inter-day precision were below 17%, with accuracy ranging from 1.7% to 7.5%.
- The lower limit of quantification (LOQ) was determined to be 0.8 ng/mL.
- Total sample analysis time, including preparation, was reduced to 5 minutes.
Conclusions:
- A robust, rapid, and sensitive LC-MS/MS method for clopidogrel active metabolite quantification in human plasma has been successfully developed and validated.
- The optimized method significantly reduces analysis time, making it highly suitable for high-throughput pharmacokinetic studies.
- The method's successful application in a pharmacokinetic study confirms its utility in clinical and research settings.
