A Comparative Review of Methods For Estimation of Some Antihypertensive Drugs in Pharmaceutical Production

Document Type : Original Article

Authors

1 General Directorate of Education, Ministry of Education, Karbala, Iraq.

2 Department of Chemistry, College of Sciences, Mustansiriyah University, Baghdad, Iraq.

3 Department of Chemistry, College of Sciences, University of Baghdad, Al-Jadriya campus, 10071 Baghdad, Iraq.

Abstract

This review aim was to study and analyze some of the existing quantitative analytical methods for estimating some antihypertensive drugs in pharmaceutical planning. Several methods for quantitative study of antihypertensive medications have been used. For the advancement in technology and implementation, fast response, high precision, low cost, and user friendly drug analysis approaches have become critical. HPLC approaches are commonly used because of their precision, sensitivity, low cost, and ability to perform on-site analyses of a variety of substances. Methods such as ZIC-HILIC (Zwitterion stationary phase-Hydrophilic Interaction Chromatography) are extremely capable of assaying drug concentrations and providing outstanding knowledge of its physical and chemical properties. The advancement of the ZIC-HILIC column has enabled the development of more accurate, responsive, and cost-effective instrumentation, which has made a major contribution to biomolecule analysis and drug development. The study used previous literature to test antihypertensive drugs and compare it to the new ZIC-HILIC form. They are preferred for a variety of applications such as environmental surveillance, food quality management, clinical diagnosis, biomolecule, and drug detection due to their ease of usage, portability, and low expense. Meanwhile, polar drug proteomics, isolation, metabolomics, bioanalysis, and other classical HILIC stationary step applications are covered. Understanding how HILIC stationary phases interact necessitates the creation of detailed test samples as well as methods for determining separation selectivity.

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