Synthesis and Characterization of HEMA-co-IA/CTS Polymer Particles for Risedronate Sodium Controlled Release

Title:Synthesis and Characterization of HEMA-co-IA/CTS Polymer Particles for Risedronate Sodium Controlled Release

Volume: 12 Issue: 2

Author(s): Muhammad K. Shahzad, Nadeem Irfan Bukhari, Ghulam Murtaza and Sabiha Karim

Affiliation:

Keywords: 2-hydroxyethyl methacrylate, itaconic acid, Chitosan, risedronate sodium, superabsorbent polymer.

Abstract: In this study, sustained release superabsorbent polymer (SAP) particles were prepared to minimize the local irritating effect of risedronate sodium. Formulations were prepared by free radical polymerization of various combinations of 2-hydroxyethyl methacrylate (HEMA), itaconic acid (IA), and chitosan (CTS) by using ethylene glycol dimethacrylate (EGDMA) as crosslinker, potassium persulfate as initiator, and N,N,N,N-tetramethylethylene diamine as activator. Polymerization was confirmed by Fourier transform infrared spectroscopy. For dynamic swelling studies, buffer solutions of various pH were utilized. The IA content of formulation and pH of surrounding media were found in direct relationship with swelling capability. Gel fraction and porosity were also determined and a direct relationship was found with monomers/polymer contents. Formulations were successfully loaded with risedronate sodium and loading efficiency was found to be dependent on IA and CTS contents. Drug release study was performed both in acidic and basic media and found dependent on pH. Release data were analyzed by various kinetic models and mechanism of drug release was best explained by zero order kinetics at acidic and Higuchi kinetics at basic environment. The n value of Korsemeyer- Peppas model showed that drug release followed non-Fickian release pattern.

Cite this article as:

Shahzad K. Muhammad, Bukhari Irfan Nadeem, Murtaza Ghulam and Karim Sabiha, Synthesis and Characterization of HEMA-co-IA/CTS Polymer Particles for Risedronate Sodium Controlled Release, Current Pharmaceutical Analysis 2016; 12 (2) . https://dx.doi.org/10.2174/1573412911666150710182755