Background: Ticagrelor is a direct-acting, reversible oral P2Y?? receptor antagonist widely
prescribed for the prevention of thrombotic events in patients with acute coronary syndromes.
Given its clinical relevance, accurate quantification in both pharmaceutical and biological
matrices is essential for quality control, pharmacokinetic profiling, and bioequivalence studies.
Objective: This review aims to systematically compile and evaluate the various analytical
methods developed for the estimation of Ticagrelor, highlighting methodological advances,
validation performance, and matrix-specific considerations.
Methods: Peer-reviewed literature from 2014 to 2024 was collected using scientific databases
such as PubMed, ScienceDirect, and Google Scholar. Studies employing techniques such as
UV spectrophotometry, RP-HPLC, UPLC, HPTLC, and LC-MS/MS were reviewed and
compared based on sample matrix, method sensitivity, linearity, and sample preparation
approaches.
Results: UV spectrophotometric methods offer simplicity and cost-effectiveness for routine
analysis in bulk and dosage forms. RP-HPLC remains the most widely employed technique for
tablet analysis due to its balance of precision, speed, and accessibility. In contrast, LC-MS/MS
methods, especially those with triple quadrupole configurations, are preferred for plasmaanalysis owing to their high sensitivity, with LLOQs as low as 0.78 ng/mL. Several methods
incorporated quality by design (QbD), green solvents, and stability-indicating capabilities.
Conclusion: A diverse array of validated analytical techniques exists for Ticagrelor estimation,
each suited for specific applications. However, opportunities remain for the development of
faster, greener, and more automated methods for high-throughput analysis. This review offers
a practical reference for researchers and analysts in pharmaceutical and clinical laboratories.
Keywords: Ticagrelor, RP-HPLC, LC-MS/MS, UV spectrophotometry, Bioanalysis,
Sample Preparation, Method Validation
Publication date: 01/07/2026
https://www.ijbpas.com/pdf/2026/July/MS_IJBPAS_2026_10343.pdf
Download PDF
https://doi.org/10.31032/IJBPAS/2026/15.7.10343
