A Brief Review of Analytical Methods for the Estimation of Anti-Hypertensive Drug Chlorthalidone in Pharmaceutical Formulation and Biological Matrices
Solanki Dipika
, Soni Prachi , Patel Dhara , Patel Tejas , Meshram Dhanjay
Chlorthalidone; Analytical methods; Estimation; Matrices.
The qualitative and quantitative estimation of drug play major role in safety and efficacy of drug product. A complete literature survey is most essential requirements for Hypertension. Chlorthalidone inhibit Sodium-Chloride Cotransporter at distal convoluted tubule of nephron. This inhibition altered reabsorption of osmotic gradient which results in increase sodium excretion and extra cellular fluid volume. This leads to reduction in high blood pressure. Chlorthalidone was approved by U.S. Food and Drug Administration (FDA) in 2011. Since effort has been made in the present review to collect all relevant literature published in various pharmaceutical journals for estimation of Chlorthalidone in different matrices both individual and in combination of drug with other drugs. The review summarized the basic and advanced techniques for estimating chlorthalidone. From different method HPLC and U.V Visible Spectrophotometry are most widely used techniques applied by researchers. Detailed validation parameters are also given for the methods, which assists the researchers to select an analytical technique based on the information sought.
"A Brief Review of Analytical Methods for the Estimation of Anti-Hypertensive Drug Chlorthalidone in Pharmaceutical Formulation and Biological Matrices", IJSDR - International Journal of Scientific Development and Research (www.IJSDR.org), ISSN:2455-2631, Vol.7, Issue 4, page no.83 - 94, April-2022, Available :https://ijsdr.org/papers/IJSDR2204016.pdf
Volume 7
Issue 4,
April-2022
Pages : 83 - 94
Paper Reg. ID: IJSDR_200233
Published Paper Id: IJSDR2204016
Downloads: 000347188
Research Area: Engineering
Country: -, Gujarat, India
ISSN: 2455-2631 | IMPACT FACTOR: 9.15 Calculated By Google Scholar | ESTD YEAR: 2016
An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 9.15 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator
Publisher: IJSDR(IJ Publication) Janvi Wave
