Literature DB >> 17225599

Fractional wavelet analysis for the simultaneous quantitative analysis of lacidipine and its photodegradation product by continuous wavelet transform and multilinear regression calibration.

Erdal Dinç1, Gaetano Ragno, Giuseppina Ioele, Dumitru Baleanu.   

Abstract

Fractional wavelet transform (FWT) was applied to the original absorption spectra of lacidipine (LAC) and its photodegradation product (LACD), and the resulting FWT spectra were processed by continuous wavelet transform (CWT) and multilinear regression calibration (MLRC) for the simultaneous quantitative analysis of both products in their binary mixtures. These methods do not require any chemical separation step and chemical complex reaction to obtain a detectable signal for the degradation product. By using the Mexican hat function, 2 calibration functions for LAC and LACD were obtained by measuring the CWT transformed signals at 416.1 nm for LAC and 414.6 nm for LACD, after FWT processing of the original absorption spectra. The calibration graphs were linear in the concentration range of 5.08-40.64 microg/mL for LAC and 0.51-8.16 microg/mL for LACD. The limit of detection and the limit of quantitation were found to be 0.289 and 0.956 microg/mL for LAC and 0.036 and 0.118 microg/mL for LACD, respectively. For comparison, the MLRC algorithm was applied to the linear regression functions for the individual drug and its photoproduct. In this approach, a set of linear regression functions was obtained from the relationship between concentrations and FWT signals in the wavelength range 411.0-412.4 nm. Both methods were applied to the quantitative evaluation of LAC and LACD in laboratory and pharmaceutical samples, and produced very satisfactory results.

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Year:  2006        PMID: 17225599

Source DB:  PubMed          Journal:  J AOAC Int        ISSN: 1060-3271            Impact factor:   1.913


  4 in total

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Review 2.  Wavelet Transform-Based UV Spectroscopy for Pharmaceutical Analysis.

Authors:  Erdal Dinç; Zehra Yazan
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Authors:  Giuseppina Ioele; Rita Muzzalupo; Miyase Gözde Gündüz; Michele De Luca; Elisabetta Mazzotta; Fedora Grande; Maria Antonietta Occhiuzzi; Antonio Garofalo; Gaetano Ragno
Journal:  Pharmaceutics       Date:  2021-04-10       Impact factor: 6.321

4.  Artificial Neural Networks (ANN) for the Simultaneous Spectrophotometric Determination of Fluoxetine and Sertraline in Pharmaceutical Formulations and Biological Fluid.

Authors:  Hamid Reza Akbari Hasanjani; Mahmoud Reza Sohrabi
Journal:  Iran J Pharm Res       Date:  2017       Impact factor: 1.696

  4 in total

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