Physical Characterization of Beeswax and Glyceryl Monostearat Binary System to Predict Characteristics of Solid Lipid Nanoparticle (SLN) Loaded Para Methoxy Cinnamic Acid (PMCA)

• Main Authors: Noorma Rosita, Dwi Setyawan, Widji Soeratri, Suwaldi Mrtodihardjo
• Format: Article PeerReviewed
• Language: English; English; English; English; English; English
• Published: Innovare Academic Sciences 2014
• Subjects: R Medicine; RS Pharmacy and materia medica
• Online Access: http://repository.unair.ac.id/93746/2/C-08%20Artikel.pdf; http://repository.unair.ac.id/93746/3/C-08%20Reviewer.pdf; http://repository.unair.ac.id/93746/1/C-08%20Result.pdf; http://repository.unair.ac.id/93746/6/Artikel%20C-12.pdf; http://repository.unair.ac.id/93746/7/Validasi%20C-12.pdf; http://repository.unair.ac.id/93746/8/Similarity%20C-12.pdf; http://repository.unair.ac.id/93746/; https://innovareacademics.in/journal/ijpps/Vol6Suppl2/8418.pdf
• Institution: Universitas Airlangga

Objective: The aim of this study was to investigate physical characteristics of beeswax (BW), Glyceyl Monostearat (GMS) and their binary mixture before and after stressing under high shear homogenisation technique on SLN preparation to predict the optimum ratio of BW-GMS produce good characteristics of solid lipid nanoparticle loaded PMCA. Methods: Lipid characterizations were conducted by thermal analysis (DTA), Powder X-Ray Diffraction (PXRD) and FTIR Spectrophotometri. Partition of PMCA on lipid/acetic buffer pH 4,2 was determined by indirect method, and PMCA concentration was measured by spectrophotometer at 302 nm. SLN characteristics based on their morphology was determined using Transmission Electron Microscope (TEM), particle size and its polidispersity index which were measured with Delsa Nano™ Particle Size Analyser (PSA). SLN physical stability based on minimum of particle size variation during 40 days storage. Percentage of PMCA entrapped in SLN was determined by centrifugation method. Results and Conclusion: The result showed that ratio od BW-GMS 5:5 (% w/w) produced the best blank SLN and the best characteristics of PMCA-SLN