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Updated: Jan 9, 2026

Selected Reaction Monitoring Mass Spectrometry for Absolute Protein Quantification
Published on: August 17, 2015
LC-MS/MS Method Validation for Quantification of Nirmatrelvir in Human Plasma
Natpapat Kaewkhao1, Joel Tarning1,2,3, Daniel Blessborn1,2
1Mahidol Oxford Tropical Medicine Research Unit, Faculty of Tropical Medicine, Mahidol University, Bangkok, Thailand.
A new LC-MS/MS method accurately quantifies nirmatrelvir, an important COVID-19 antiviral. This validated assay enables precise monitoring of nirmatrelvir drug levels for optimized patient treatment and pharmacokinetic studies.
Area of Science:
- Analytical Chemistry
- Pharmacokinetics
- Biotechnology
Background:
- Accurate monitoring of nirmatrelvir, a critical COVID-19 antiviral, is essential for therapeutic optimization.
- Existing methods may lack the sensitivity or specificity required for robust drug level assessment.
Purpose of the Study:
- To develop and validate a sensitive and specific liquid chromatography-tandem mass spectrometry (LC-MS/MS) method for quantifying nirmatrelvir in human plasma.
- To establish a reliable tool for pharmacokinetic evaluation of nirmatrelvir in clinical settings.
Main Methods:
- Quantification of nirmatrelvir using LC-MS/MS with nirmatrelvir-D9 as an internal standard.
- Selected reaction monitoring (SRM) in positive electrospray ionization mode.
- Streamlined sample preparation involving phospholipid removal for high-throughput processing.
Main Results:
- The validated method demonstrated a wide linear range (10.9–3013 ng/mL) and high precision (intra- and interassay <15%).
- The assay met all bioanalytical guideline criteria for matrix effect, carryover, dilution integrity, and stability.
- Rapid analysis time of 2 minutes per sample achieved.
Conclusions:
- The developed LC-MS/MS method is sensitive, specific, accurate, and reproducible for nirmatrelvir quantification.
- This validated assay is suitable for routine clinical monitoring and pharmacokinetic studies of nirmatrelvir.
- The method's efficiency supports high-throughput analysis in clinical settings.
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