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Pharm Sci. 2019;25(3): 262-267.
doi: 10.15171/PS.2019.30

Scopus ID: 85072809409
  Abstract View: 1136
  PDF Download: 1047

Research Article

Spectrofluorimetric Determination of Atenolol and Carvedilol in Pharmaceutical Preparations after Optimization of Parameters using Response Surface Methodology

Ahad Bavili Tabrizi 1,2* ORCID logo, Faezeh Yousefzadeh 3

1 Biotechnology Research Center, Tabriz University of Medical Sciences, Tabriz, Iran.
2 Faculty of Pharmacy, Tabriz University of Medical Sciences, Tabriz, Iran.
3 Pharmaceutical Analysis Research Center, Student Research Committee, Tabriz University of Medical Sciences, Tabriz, Iran.
*Corresponding Author: Email: a.bavili@tbzmed.ac.ir

Abstract

Background: The present work is aimed to study the effect of different parameters on the fluorescence intensity of atenolol (ATE) and carvedilol (CAR) and optimization by response surface methodology (RSM) to provide a simple analytical method for their quantification in pharmaceutical formulations. Methods: Various parameters affecting the fluorescence intensity, i.e., sodium dodecyl sulfate (SDS) concentration, pH, volume fraction of solvents were optimized using RSM. Then, the optimized parameters were applied to the validation of a method for fluorimetric determination of β-blockers in their pharmaceutical preparations. Results: It is obtained that under the optimum conditions for determination of ATE, the method provided a linear range between 130 to 750 ng/mL with a coefficient of correlation (r) of 0.9996. Also, the limit of detection and limit of quantification (LOD and LOQ) were 40 ng/mL and 130 ng/mL, respectively. Moreover, it is observed that, the linearity of method for determination of CAR was between 0.37 to 4.0 ng/mL and LOD and LOQ of method were 0.11 ng/mL and 0.37 ng/mL, respectively. Conclusion: An accurate, sensitive and reliable spectrofluorimetric method was developed anf successfully used to determine the (ATE) and carvedilol (CAR) in their pharmaceutical preparations.
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Submitted: 03 Nov 2018
Revision: 02 Jan 2019
Accepted: 23 Jan 2019
ePublished: 30 Sep 2019
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