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OPTIMIZATION OF PCL-PEG-PCL TRIBLOCK COPOLYMER MICELLES AS HYDROPHOBIC DRUG CARRIER WITH A 22 FULL FACTORIAL DESIGN
Author(s) -
Dewi Patmayuni,
‪Teuku Nanda Saifullah Sulaiman‬,
Abdul Karim Zulkarnain
Publication year - 2019
Publication title -
international journal of applied pharmaceutics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.238
H-Index - 15
ISSN - 0975-7058
DOI - 10.22159/ijap.2019v11i6.35036
Subject(s) - dispersity , copolymer , factorial experiment , micelle , peg ratio , materials science , polymerization , solvent , chemical engineering , polymer chemistry , chemistry , polymer , mathematics , composite material , organic chemistry , finance , aqueous solution , engineering , economics , statistics
Objective: This study aims to optimize PCL-PEG-PCL (PCEC) triblock copolymer micelles as a hydrophobic drug carrier, simvastatin (SV). Methods: PCEC triblock copolymer was prepared by the ring-opening polymerization method (ROP) with different ɛCL/PEG ratio (2 and 5). SV was incorporated into the PCEC triblock copolymer micelles with a concentration of 2.5 and 10 % w/w by the solvent evaporation method (film formation). The influence of the ɛCL/PEG ratio and concentration of SV effect on the responses particle size (PS), polydispersity index (PI) and entrapment efficiency (EE) was assessed using 22 full factorial design method. The test results were analyzed using Design-Expert software to obtain the optimum formula. Result: The selection of the optimum formula is based on the desirability value, the formula with the largest desirability value is chosen as the optimum formula. The results showed the optimum formula chosen had a desirability value of 0.860 consisting of a ɛCL/PEG ratio of 5 and SV concentration of 10 % w/w, with the PS, PI dan EE value was 322.1±3.51 nm, 0.471±0.09 and 87.08±1.17 %, respectively. Conclusion: The 22 full factorial design has been proven to be used as an optimization method to determine the optimum formula of SV-loaded PCEC triblock copolymer micelles with a good result of the PS, PI and EE responses.

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