2010Asian Journal of Research in ChemistryRequires access

New Simple UV Spectrophotometric Method for Estimation of Almotriptan Malate in Bulk and Pharmaceutical Dosage Forms

A. Suneetha, B. Syama Sundar

Open publisher page 6 citations

Abstract

A new simple, sensitive, precise, accurate and economical UV spectrophotometric method of analysis for almotriptan malate both as a bulk drug and in tablet formulations was developed and validated. The method employed methanol as solvent and the drug shows maximum absorbance at 227 nm with molar absorptivity of 0.8532×105 L/mol.cm. The linear regression analysis data for the calibration plot showed good linear relationship with r2 = 0.9999 in the concentration range of 1–5 μg/ml. Results of analysis were validated statistically and by recovery studies

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A new simple, sensitive, precise, accurate and economical UV spectrophotometric method of analysis for almotriptan malate both as a bulk drug and in tablet formulations was developed and validated. The method employed methanol as solvent and the drug shows maximum absorbance at 227 nm with molar absorptivity of 0.8532×105 L/mol.cm. The linear regression analysis data for the calibration plot showed good linear relationship with r2 = 0.9999 in the concentration range of 1–5 μg/ml. Results of analysis were validated statistically and by recovery studies

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Available abstract

A new simple, sensitive, precise, accurate and economical UV spectrophotometric method of analysis for almotriptan malate both as a bulk drug and in tablet formulations was developed and validated. The method employed methanol as solvent and the drug shows maximum absorbance at 227 nm with molar absorptivity of 0.8532×105 L/mol.cm. The linear regression analysis data for the calibration plot showed good linear relationship with r2 = 0.9999 in the concentration range of 1–5 μg/ml. Results of analysis were validated statistically and by recovery studies

Key concepts: Molar absorptivity, Absorbance, Dosage form, Chromatography, Calibration curve, Linear regression, Solvent, Spectrophotometry

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