DEVELOPMENT AND OPTIMIZATION OF AMINO ACID ALGINATE MICROBEADS USING RESPONSE SURFACE METHOD
Pooja Singh*, Lalit Singh, Ritesh kumar Tiwari and Vijay Sharma
ABSTRACT
Objectives: The objective of the present study was to preparation of microbeads of L-arginine by ionotropic gelation technique, dissolution and determines the effect of chelating agent on release of drug from microbeads, optimization of microbeads was done by 32 factorial designs using response surface methodologies. Materials and Methods: Microbeads formulations were prepared using sodium alginate, calcium chloride, L-arginine. The preformulation studies of microbeads using a model drug were done to find the suitable concentration of sodium alginate and calcium chloride and the
concentration selected as alginate (3.5- 4.5% w/v) and calcium chloride (4-8%).The formulations were evaluated for their particle size, drug entrapment, in-vitro release, and angle of repose, swelling index, scanning Electron Microscopy (SEM). In vitro dissolution studies were conducted in phosphate buffer of pH 6.8and analysis was done on HPLC. Optimization of formulation was done using response surface methodologies. Results: The results obtained Angle of repose and particles size of all batches was in satisfactory and drug entrapment efficiency was found between 30.0±2.261 to97.5 ±0.700 ranges. All the batches were containing highest concentration of chelating agent i.e. calcium chloride showing the retarded rate of release of L-arginine from the microbeads in in -vitro studies. The optimized batches were obtained through check points shows the same result as prescribes by the software. Lastly, it may be concluded that the batches were optimized and the main effect on all dependent variables were due to the change in the concentration of sodium alginate and calcium chloride. Conclusion: Thus, release shows that all the microbeads prepared using sodium alginate was able to sustain the release of drug, and the optimized batches were obtained through check points shows the same result as prescribes by the software.
Keywords: Microbeads, L-arginine, optimization, factorial design.
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