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OPTIMIZATION OF LUTEOLIN-LOADED TRANSFERSOME USING RESPONSE SURFACE METHODOLOGY
Author(s) -
Damai Ria Setyawati,
Silvia Surini,
Etik Mardliyati
Publication year - 2017
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.2017.v9s1.64_71
Subject(s) - luteolin , zeta potential , dispersity , particle size , central composite design , sonication , response surface methodology , chemistry , analytical chemistry (journal) , pulmonary surfactant , chromatography , particle (ecology) , materials science , nanotechnology , nanoparticle , organic chemistry , flavonoid , biochemistry , oceanography , geology , antioxidant
Objective: This research was carried out to optimize luteolin-loaded transfersome formula with independent variables such as lipid–surfactant (totallipid) concentration and luteolin concentration.Methods: Luteolin-loaded transfersome was optimized by response surface methodology based on four parameters, namely, particle size (Z-average),polydispersity index, zeta potential, and entrapment efficiency. The transfersome formula was prepared using central composite design, and theselected independent variables were the total lipid (mixture of phospholipid and Tween 80) and luteolin concentrations. 14 formulas of luteolinloadedtransfersome were prepared by thin film hydration, followed by the sonication method.Results: The total lipid and luteolin concentration significantly affected the entrapment efficiency only. The other parameters were not affected by achange in these variables. The optimum formula of 4.88% total lipid and 0.5% luteolin with desirability value of 0.609 conformed with the predictionparameters. Vesicle imaging using transmission electron microscopy revealed spherical particles and the occurrence of particle aggregation. Theoptimum formula of luteolin-loaded transfersome possessed the following characteristics: Particle size of 286.03±8.46 nm, polydispersity indexof 0.480±0.013, zeta potential of -18.67±0.379 mV, and entrapment efficiency of 94.97±0.28 %. However, these values did not correspond to thepredicted values and were confirmed by the low adjusted and predicted R-squared values.Conclusion: This method can be applied to optimize the entrapment efficiency, and in the future, it can be used for further optimizing formula oftransfersome by including more variables.

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