OPTIMIZATION OF PCL-PEG-PCL TRIBLOCK COPOLYMER MICELLES AS HYDROPHOBIC DRUG CARRIER WITH A 22 FULL FACTORIAL DESIGN

DEWI PATMAYUNI; T. N. SAIFULLAH SULAIMAN; ABDUL KARIM ZULKARNAIN

doi:10.22159/ijap.2019v11i6.35036

Authors

DEWI PATMAYUNI Departement of Pharmaceutics, Faculty of Pharmacy, Gadjah Mada University, Yogyakarta 55281 Indonesia
T. N. SAIFULLAH SULAIMAN Departement of Pharmaceutics, Faculty of Pharmacy, Gadjah Mada University, Yogyakarta 55281 Indonesia
ABDUL KARIM ZULKARNAIN Departement of Pharmaceutics, Faculty of Pharmacy, Gadjah Mada University, Yogyakarta 55281 Indonesia

DOI:

https://doi.org/10.22159/ijap.2019v11i6.35036

Keywords:

Factorial design, Triblock copolymer, PCL, PEG, Simvastatin

Abstract

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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