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Author(s): Rajni Kant Panik, Manju Singh, Deependra Singh

Email(s): panik.143@gmail.com

Address: University Institute of Pharmacy, Pr. Ravishankar Shukla University, Raipur - 492 010, Chhattisgarh.

Published In:   Volume - 29,      Issue - 1,     Year - 2016

DOI: Not Available

ABSTRACT:
Present work was based with objective to optimize formulations of mupirocin loaded PLGA nanocarriers using response surface methodology (RSM). The miscellaneous design model (two-factor three level factorial design) was used for optimization of formulations was considered for optimization. There were three parameters, drug entrapment efficiency (EE), drug loading (DL) percentage, and mean particle size of drug loaded nanocarrier, considered for investigating the optimal formulation with respect to two independent variables, including drug concentration (XI) and polymer concentration (X2). The result showed that the optimal nanocarrier was composed of drug concentration(XI) 10mg and polymer concentration (X2) 20 mg with %EE of 85.46 t 4.01%, DL of 30.2520.76, mean particle size of 120.24554 nm, polydispersity index (PDI) of 0.20320.067, and zeta potential value of -8.672(-4.45) mV. DSC and TEM study showed that there was no chemical interaction between mupirocin and polymer (PLGA) and the mupirocin- PLGA nanoparticle are non spherical, respectively. The drug release experiments exhibited a sustained release over during 24 h, up to 60.26 z 2.83%. Accelerated stability studies showed that there was no significant change occurring in the responses after storage condition for a total period of 3 months.

Cite this article:
Panik, Singh and Singh (2016). Preparation and Characterization of PLGA Nanoparticle: Formulation and Optimization through Entrapment Efficiency, Drug Loading and Particle Size. Journal of Ravishankar University (Part-B: Science), 29(1), pp.76-77.


References not available.

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