Scholarly open access journals, Peer-reviewed, and Refereed Journals, Impact factor 8.14 (Calculate by google scholar and Semantic Scholar | AI-Powered Research Tool) , Multidisciplinary, Monthly, Indexing in all major database & Metadata, Citation Generator, Digital Object Identifier(DOI)
In the present era, the best common analytical method used for quantification of the drug is Reverse phase high-pressure liquid chromatography because of advantages like high accuracy, high sensitivity, and least time-consuming. DABIGATRAN is in a class of anticoagulant drugs. It is a direct thrombin inhibitor that prevents the formation of blood clots in the body. Dabigatran is also used to prevent strokes and severe blood clots in the individuals with atrial fibrillation without heart valve disease. APIXABAN is a specific novel anticoagulant drug which is used for treatment of thromboembolism. Apixaban is an oral anticoagulant and direct, selective inhibitor of factor Xa, which is used to decrease the risk of venous thrombosis, stroke and systemic embolization in patients with atrial fibrillation. TICAGRELOR is a cyclopentytriazolopyrimidine-based platelet aggregation inhibitor that is used orally. It's a P2Y12 receptor antagonist that suppresses platelet activation and accumulation triggered by P2Y12 and ADP receptor in myocardial infarction. In this study, we will look at all documented HPLC and LC-MS methods for determining specific anticoagulant medicines including dabigatran, Apixaban, and Ticagrelor in their pure form, combination form with other drugs, combined form with degradation products, and in biological fluids.
Keywords:
RP-HPLC, LC-MS, Dabigatran, Apixaban, Ticagrelor.
Cite Article:
"A Review on liquid chromatographic method for estimation of Dabigatran, Apixaban and Ticagrelor", International Journal of Science & Engineering Development Research (www.ijrti.org), ISSN:2455-2631, Vol.6, Issue 8, page no.31 - 42, August-2021, Available :http://www.ijrti.org/papers/IJRTI2108006.pdf
Downloads:
000202604
ISSN:
2456-3315 | IMPACT FACTOR: 8.14 Calculated By Google Scholar| ESTD YEAR: 2016
An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.14 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator
Facebook Twitter Instagram LinkedIn