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Aim of the present study was to investigate the potential of polymeric nanoparticles in improving the biopharmaceutical properties of lercanidipine. Lercanidipine loaded nanoparticles were prepared by modified emulsion-diffusion-solvent evaporation technique. The resulting nanoparticles were freeze dried and then characterized for particle size, zeta potential, encapsulation efficiency, DSC, XRD, AFM, TEM and in vitro drug release. Amongst all the screened batches, optimized batch (B. No. PN-05) exhibited a particle size of 200.2 nm, PDI of 0.130, zeta potential, -20.6 mV and encapsulation efficiency of 77.41%. The AFM analysis illustrated spherical, non-aggregated, smooth particles whereas TEM images showed smooth, regularly spherical homogeneous mass of the particles. DSC studies suggested amorphization of the drug in nanoparticles and same was also observed in XRD diffractograms as reflected by the amorphous humps. The optimized batch exhibited a significantly different drug release profile from that of lercanidipine. It showed an initial rapid release of 17.96% in 1 h and followed an extended release profile releasing 82.74% in 24 h. The novel polymeric lercanidipine nanoparticles demonstrated 2.12-fold increase in absolute bioavailability as compared to free lercanidipine. In conclusion, encapsulation of lercanidipine in nanoparticles forms a sound basis for improving its bioavailability and for better management of hypertension.
"Formulation and Characterization of Lercanidipine Loaded Nanoparticles", International Journal for Research Trends and Innovation (www.ijrti.org), ISSN:2455-2631, Vol.10, Issue 12, page no.b284-b299, December-2025, Available :http://www.ijrti.org/papers/IJRTI2512138.pdf
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2456-3315 | IMPACT FACTOR: 8.14 Calculated By Google Scholar| ESTD YEAR: 2016
An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.14 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator