FORMULATION, CHARACTERIZATION AND IN-VITRO EVALUATION OF FLOATING MICROSPHERES OF RASAGILINE MESYLATE
formulation, characterization and in-vitro evaluation of floating microspheres of rasagiline mesylate.
Systematic studies were conducted using two different polymers in different concentrations to prepare Rasagiline Mesylate Floating Microspheres. All the prepared systems were evaluated for the different properties. From the Preformulation studies for drug excipients compatibility, it was observed that no physical incompatibility existed between the drug and excipients. All the four different formulations prepared contain drug about 97%-102%. In vitro drug release profile indicated that drug release was retarded due to the presence of higher concentration of polymer. Formulation F2 has only 68%drug release in 9 hrs due to higher ratio of the polymer. Formulated Microspheres gave satisfactory results for various evaluation parameters like Angle of Repose, Drug Entrapment Efficiency, Scanning Electronic Microscopy and in vitro drug release. Comparing the two different Polymers such as HPMC and Chitosan provided better-sustained release characteristics with excellent in-vitro drug release. From the above results also indicated that at higher viscosity grades of polymer concentrations drug release was retarded greatly.
"FORMULATION, CHARACTERIZATION AND IN-VITRO EVALUATION OF FLOATING MICROSPHERES OF RASAGILINE MESYLATE", IJSDR - International Journal of Scientific Development and Research (www.IJSDR.org), ISSN:2455-2631, Vol.9, Issue 6, page no.467 - 477, June-2024, Available :https://ijsdr.org/papers/IJSDR2406057.pdf
Volume 9
Issue 6,
June-2024
Pages : 467 - 477
Paper Reg. ID: IJSDR_211724
Published Paper Id: IJSDR2406057
Downloads: 000347097
Research Area: Pharmacy
Country: Tirupati, Andra pradesh, India
ISSN: 2455-2631 | IMPACT FACTOR: 9.15 Calculated By Google Scholar | ESTD YEAR: 2016
An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 9.15 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator
Publisher: IJSDR(IJ Publication) Janvi Wave