Simultaneous Spectrophotometric Determination of Aspirin and Dipyridamole in Pharmaceutical Formulations Using the Multivariate Calibration Methods

Title:Simultaneous Spectrophotometric Determination of Aspirin and Dipyridamole in Pharmaceutical Formulations Using the Multivariate Calibration Methods

Volume: 14 Issue: 4

Author(s): Afshin Saadat*, Eslam Pourbasheer*, Somayeh Morsali and Reza Aalizadeh

Affiliation:

• Department of Chemistry, Germi Branch, Islamic Azad University, Germi,Iran

• Department of Chemistry, Payame Noor University (PNU), P. O. Box 19395-3697, Tehran,Iran

Keywords: Chemometrics, PLS, GA-PLS, genetic algorithm, aspirin, dipyridamole.

Abstract: Background: A mixture of aspirin and dipyridamole has been proved to significantly reduce the stroke recurrence. As the use of mixture of aspirin and dipyridamole is increased, the accurate concentration of each component should be determined to avoid side effects and to improve the treatment process in pharmaceutical preparation.

Objective: The goal of the present study is the simultaneous determination of aspirin and dipyridamole mixtures in pharmaceuticals using the chemometrics methods.

Methods: The simultaneous spectrophotometric determination of aspirin and dipyridamole was carried out using the genetic algorithm as feature selection, coupled with partial least squares for regression analysis.

Results: The linearity range of calibration curve was obtained over the range of 30-250 and 1-20 µg·mL-1 for aspirin and dipyridamole, respectively. The results indicated that the developed methods are of high accuracy and can be used as a simple and fast techniques for analyzing of these compounds.

Conclusion: The developed techniques are simple and with high precision and accuracy can be used in real samples for pharmaceutical formulation.

Cite this article as:

Saadat Afshin *, Pourbasheer Eslam *, Morsali Somayeh and Aalizadeh Reza , Simultaneous Spectrophotometric Determination of Aspirin and Dipyridamole in Pharmaceutical Formulations Using the Multivariate Calibration Methods, Current Pharmaceutical Analysis 2018; 14 (4) . https://dx.doi.org/10.2174/1573412913666170613104439