Identification, characterization, and in silico ADMET prediction of nirmatrelvir and its degradation products using HPLC‐PDA and LC‐QTOF‐MS/MS

Nirmatrelvir and its five DPs were efficiently separated using reverse phase-HPLC. These five DPs were identified and characterized using LC-electrospray ionization (ESI)-Q-TOF-coupled mass spectrometry analysis in the ESI-positive ionization mode. The formation mechanisms of the DPs and the most probable mass fragmentation pathways for both nirmatrelvir and its DPs were elucidated. The developed method demonstrated selectivity, accuracy, linearity, and reproducibility, making it appropriate for quality control of nirmatrelvir and future research studies. Additionally, the physicochemical and Absorption, Distribution, Metabolism, Excretion, and Toxicity (ADMET) properties of nirmatrelvir and its DPs were predicted using ADMET predictor software. The toxicity profile revealed that DP2 and DP3 have teratogenic effects while DP1 and DP3 caused phospholipidosis.

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Publication Details

Journal
Rapid Communications in Mass Spectrometry
Published
2024-08-26
DOI
https://doi.org/10.1002/rcm.9896
Primary Topic
Antibiotics Pharmacokinetics and Efficacy
Type
article
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article

Identification, characterization, and in silico ADMET prediction of nirmatrelvir and its degradation products using HPLC‐PDA and LC‐QTOF‐MS/MS

Matta Ashwin Kumar, Raja Sundararajan
Rapid Communications in Mass Spectrometry
Antibiotics Pharmacokinetics and Efficacy
article

Identification, characterization, and in silico ADMET prediction of nirmatrelvir and its degradation products using HPLC‐PDA and LC‐QTOF‐MS/MS

Matta Ashwin Kumar, Raja Sundararajan
article en

Abstract

Nirmatrelvir and its five DPs were efficiently separated using reverse phase-HPLC. These five DPs were identified and characterized using LC-electrospray ionization (ESI)-Q-TOF-coupled mass spectrometry analysis in the ESI-positive ionization mode. The formation mechanisms of the DPs and the most probable mass fragmentation pathways for both nirmatrelvir and its DPs were elucidated. The developed method demonstrated selectivity, accuracy, linearity, and reproducibility, making it appropriate for quality control of nirmatrelvir and future research studies. Additionally, the physicochemical and Absorption, Distribution, Metabolism, Excretion, and Toxicity (ADMET) properties of nirmatrelvir and its DPs were predicted using ADMET predictor software. The toxicity profile revealed that DP2 and DP3 have teratogenic effects while DP1 and DP3 caused phospholipidosis.

Rapid Communications in Mass SpectrometryVol. 38(20)
GITAM University (IN)
Openalex Percentile: Top 86%
Antibiotics Pharmacokinetics and Efficacy
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