Development of rosuvastatin calcium nano-carrier patches by central composite design
1 Department of Pharmaceutics, Vaageswari Institute of Pharmaceutical Sciences, Karimnagar,505481, Telangana, India.
2 Jawaharlal Nehru Technological University Hyderabad, Kukatpally, Hyderabad,500085, Telangana, India.
Research Article
GSC Biological and Pharmaceutical Sciences, 2024, 27(03), 123–133.
Article DOI: 10.30574/gscbps.2024.27.3.0528
Publication history:
Received on 07 November 2023; revised on 13 June 2024; accepted on 16 June 2024
Abstract:
Rosuvastatin (RS) is a statin medication used to lower cholesterol levels and reduce the risk of cardiovascular diseases. RS works by inhibiting an enzyme called HMG-CoA reductase, which helps decrease LDL cholesterol and increase HDL cholesterol. The typical dose range for rosuvastatin is 5-40 mg once daily, with the starting dose usually being 10 mg. However, the dosage may vary depending on the patient's cholesterol levels and individual response to the medication. Rosuvastatin has a half-life of approximately 19 hours and undergoes metabolism mainly in the liver. The aim of the study was to develop a transdermal patch containing Rosuvastatin in the form of niosomes (NP). The Rosuvastatin niosomes were prepared using the solvent casting method, and the optimized formulation showed a particle size of 211.6 nm with a polydispersity index (PDI) of 0.197. The zeta potential of the niosomes was found to be -44.7. These results indicate that the developed formulation has a uniform particle size distribution and a stable zeta potential, which are important factors for the effective delivery of Rosuvastatin through a transdermal patch. Invitro diffusion studies of the optimized patch RN-T6 released upto 24 hours with %CDR of 98.98% and the drug diffusion data is fitted into various mathematical models and RN-T6 followed zero order drug release kinetics and the diffusion mechanism was non-fickian diffusion.
Keywords:
Rosuvastatin; Niosomal patch; Particle size; Zeta potential; Poly dispersibility index; Design of experiment
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