Development and validation of a new sensitive method for the quantitative analysis of Atenolol-Losartan potassium in a Tablet dosage form by using HPTLC
Journal Title: Scholars Academic Journal of Pharmacy - Year 2013, Vol 2, Issue 6
Abstract
The basic objective of the study was to develop and validate a new sensitive method using HPTLC for the quantitation of Atenolol and Losartan Potassium in an Antihypertensive combination. The chromatographic separation was done using a Camag HPTLC system consisting of Camag Linomat V automatic sample applicator, Camag Syringe, Camag TLC scanner 3, Camag WinCats software and Camag Twin Trough Chamber, with precoated Silica Gel 60 F-254 aluminum sheets as stationary phase and Ethyl acetate: Methanol: 1,4 Dioxane: Ammonia (10:2:1:2) as the mobile phase. The scanning was done at 225nm. The accuracy and reliability of the proposed method was ascertained by evaluating parameters like linearity Atenolol (400ng/µl to 1000 ng/ µl) and Losartan Potassium(200 ng/µl to 1000 ng/µl) with the coeffiecient of correlation ( r) of Atenolol and Losartan Potassium to be 0.99640 and 0.99736 respectively. The percentage recovery was found to be in the range of 95-105% (Atenolol) and 100 – 103% (Losartan Potassium). Intra day and Inter day precision for Atenolol was found to be 0.53 and 0.87respectively. Intra day and Inter day precision for Losartan Potassium was found to be 0.76 and 1.33 respectively. LOD for Atenolol and Losartan Potassium was found to be 120ng and 80ng respectively. LOQ for Atenolol and Losartan Potassium was found to be 400ng and 200ng respectively. The method was found to be robust and rugged. Assay of the formulated tablets was found to be 96.66% for Atenolol and 99.5% for Losartan Potassium. The content of Atenolol and Losartan Potassium in the tablet was found to be 49mg and 49.75mg respectively. The proposed method was found to be accurate, precise. Keywords: Atenolol, Losartan Potassium, HPTLC, Accuracy, Precision, Percentage, Recovery and RSD
Authors and Affiliations
Swati M. Keny, Celina Nazareth, Leena Sawaikar
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