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4039

Multivariate Chemometric Models and Application of Genetic Algorithm for Simultaneous Determination of Ledipasvir and Sofosbuvir in Pure Form and in Pharmaceutical Preparation; A Comparative Study

Article

Last updated: 22 Jan 2023

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Abstract

Objectives: Four multivariate chemometric methods have been developed for simultaneous determination of sofosbuvir and ledipasvir in their pure and pharmaceutical dosage forms. Methods: Firstly, partial least squares and artificial neural network have been applied for the quantitative analysis of the studied drugs. Results: Experimental design of different synthetic mixtures of sofosbuvir and ledipasvir in different ratios has been done. The zero-order absorption spectra of these prepared mixtures have been recorded over the wavelength range 200-400 nm with 1 nm interval. The obtained absorbance and concentration data matrix have been utilized to obtain calibration or regression analysis data which has been used for the prediction of the unknown concentrations of each drug in their mixtures. Alternatively, the application of genetic algorithm to partial least squares and artificial neural network has been done and greatly increased the precision and predictive ability of the methods. The four methods have been successfully applied to quantify sofosbuvir and ledipasvir in the real market sample. Conclusion: The investigated methods have been found to be accurate, precise and could resolve the overlapped spectra of the mixture without any preliminary separation steps.
 

DOI

10.21608/aprh.2017.4039

Keywords

Chemometry, Ledipasvir, Overlapped spectra, Sofosbuvir

Authors

First Name

Fathy

Last Name

Salama

MiddleName

-

Affiliation

Pharmaceutical Analytical Chemistry Department, Faculty of Pharmacy, Al-Azhar University, 11751, Nasr City, Cairo, Egypt

Email

fathysalama77@gmail.com

City

-

Orcid

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First Name

Khalid

Last Name

Attia

MiddleName

-

Affiliation

Pharmaceutical Analytical Chemistry Department, Faculty of Pharmacy, Al-Azhar University, 11751, Nasr City, Cairo, Egypt

Email

dr.khalid64@yahoo.com

City

-

Orcid

-

First Name

Ahmed

Last Name

Abouserie

MiddleName

-

Affiliation

Pharmaceutical Analytical Chemistry Department, Faculty of Pharmacy, Al-Azhar University, 11751, Nasr City, Cairo, Egypt

Email

-

City

-

Orcid

-

First Name

Ahmed

Last Name

El-Olemy

MiddleName

-

Affiliation

Pharmaceutical Analytical Chemistry Department, Faculty of Pharmacy, Al-Azhar University, 11751, Nasr City, Cairo, Egypt

Email

ahmed_olemy2000@outlook.com

City

-

Orcid

-

First Name

Ebrahim

Last Name

Abolmagd

MiddleName

-

Affiliation

Pharmaceutical Analytical Chemistry Department, Faculty of Pharmacy, Al-Azhar University, 11751, Nasr City, Cairo, Egypt

Email

-

City

-

Orcid

-

Volume

1

Article Issue

4

Related Issue

691

Issue Date

2017-10-01

Receive Date

2017-03-29

Publish Date

2017-10-01

Page Start

185

Page End

192

Print ISSN

2357-0547

Online ISSN

2357-0539

Link

https://aprh.journals.ekb.eg/article_4039.html

Detail API

https://aprh.journals.ekb.eg/service?article_code=4039

Order

2

Type

Research Article

Type Code

318

Publication Type

Journal

Publication Title

Journal of Advanced Pharmacy Research

Publication Link

https://aprh.journals.ekb.eg/

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Article

Created At

22 Jan 2023