Your browser doesn't support javascript.
loading
Chemometry and Green Chemistry-Based Chromatographic Analysis of Azilsartan Medoxomil, Cilnidipine and Chlorthalidone in Human Plasma Using Analytical Quality by Design Approach.
Prajapati, Pintu; Shahi, Abhinandan; Acharya, Aneri; Shah, Shailesh.
Afiliação
  • Prajapati P; Department of Quality Assurance, Maliba Pharmacy College, Maliba Campus, Bardoli-Mahuva Road, Tarsadi, Mahuva, Surat 394 350, Gujarat, India.
  • Shahi A; Department of Quality Assurance, Maliba Pharmacy College, Maliba Campus, Bardoli-Mahuva Road, Tarsadi, Mahuva, Surat 394 350, Gujarat, India.
  • Acharya A; Department of Quality Assurance, Maliba Pharmacy College, Maliba Campus, Bardoli-Mahuva Road, Tarsadi, Mahuva, Surat 394 350, Gujarat, India.
  • Shah S; Department of Quality Assurance, Maliba Pharmacy College, Maliba Campus, Bardoli-Mahuva Road, Tarsadi, Mahuva, Surat 394 350, Gujarat, India.
J Chromatogr Sci ; 2022 Aug 09.
Article em En | MEDLINE | ID: mdl-35942542
ABSTRACT
According to the green chemistry approach, the usage of carcinogenic and teratogenic organic solvents should be minimized in the development of the analytical method for the safety of the environment and analysts. According to the literature review, no high-performance thin-layer chromatographic (HPTLC) method has been reported yet for concomitant analysis of azilsartan medoxomil (AZM), chlorthalidone (CTD) and cilnidipine (CDP) in human plasma. Hence, a robust and accurate HPTLC method has been developed using safe and non-toxic organic solvents for the concomitant analysis of AZM, CTD and CDP in human plasma, fixed-dose combinations (FDCs) and laboratory mixtures. The HPTLC method was developed by the implementation of the analytical quality by design approach using principles of quality risk management and design of experiments (DoE) for regulatory compliance. The principal component analysis was applied for the risk assessment and analysis of potential method variables in the method development. The principle of DoE was used for the response surface modeling to link identified critical method risk parameters with critical method performance attributes using full factorial design (FFD). The method operable design region and analytical control space were navigated for the optimization of the method as per quality target analytical profile. The developed method was also applied for concomitant analysis of AZM, CTD and CDP in their FDCs and laboratory mixture and results were found in good agreement with the labeled amount of the respective drug.

Texto completo: 1 Base de dados: MEDLINE Idioma: En Ano de publicação: 2022 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Idioma: En Ano de publicação: 2022 Tipo de documento: Article