Low energy nanoemulsion preparation is an effective method in nanosized droplets formation. The composition and ratio of each phase played key role in formulation of low energy nanoemulsion. This present work is aimed to optimize, formulate and evaluate low-energy nanoemulsions using D-Optimal Mixture Design (DMD). The independent variables were grape seed oil as oil phase (X1) and Tween 80:PEG (X2) as surfactant-cosurfactant (S-mix) and water as aquaeous phase (X3). The response (dependent) variables were particles size (Y1), polydispersity index (PDI) (Y2) and zeta potential (Y3). The low energy nanoemulsions were prepared using Phase Inversion Composition (PIC). The ontained data experiments were analyzed by ANOVA analyses showed a significant model for particle size response following the quadratic model. Three optimum formulas were obtained and verification between prediction and observation of the responses bias (%) was less than 10%. The low-energy nanoemulsion of grape seed oil can be can be optimized using D-Optimal Mixture Design (DMD) and prepared using Phase Inversion Composition (PIC) technique.
Low energy nanoemulsion preparation is an effective method in nanosized droplets formation. The composition and ratio of each phase played key role in formulation of low energy nanoemulsion. This present work is aimed to optimize, formulate and evaluate low-energy nanoemulsions using D-Optimal Mixture Design (DMD). The independent variables were grape seed oil as oil phase (X1) and Tween 80:PEG (X2) as surfactant-cosurfactant (S-mix) and water as aquaeous phase (X3). The response (dependent) variables were particles size (Y1), polydispersity index (PDI) (Y2) and zeta potential (Y3). The low energy nanoemulsions were prepared using Phase Inversion Composition (PIC). The ontained data experiments were analyzed by ANOVA analyses showed a significant model for particle size response following the quadratic model. Three optimum formulas were obtained and verification between prediction and observation of the responses bias (%) was less than 10%. The low-energy nanoemulsion of grape seed oil can be can be optimized using D-Optimal Mixture Design (DMD) and prepared using Phase Inversion Composition (PIC) technique.
Pembuatan emulsi dengan energi rendah membutuhkan surfaktan dalam jumlah besar. Pembuatan nanoemulsi dengan energi tinggi dapat mengurangi jumlah surfaktan dalam pembuatan nanoemulsi yang stabil. Penelitian ini bertujuan untuk melakukan optimasi formulasi nanoemulsi minyak bijij anggur dengan energi tinggi menggunakan Box Behnken Design (BBD). Variabel bebas yang digunakan adalah persentase Smix (X1), waktu sonikasi (X2), dan pulsar rate (X3). Variabel respon (dependen) adalah ukuran partikel (Y1), indeks polidispersitas (PDI) (Y2) dan potensial zeta (Y3). Eksperimen data yang diperoleh dianalisis dengan analisis ANOVA menunjukkan model yang signifikan untuk respon ukuran partikel mengikuti model kuadratik. Verifikasi antara prediksi dan pengamatan pada 3 respon (Y1, Y2 dan Y3) di 3 formula optimal yang diperoleh, menunjukkan nilai bias (%) kurang dari 10%. Formula optimal terpilih mempunyai karakteristik ukuran partikel yang kecil < 100 nm (77,8±11,4 nm), nilai PDI yang kecil <0,7 (0,474±0,14) dan memiliki nilai zeta potensial yang besar >±30mV (-54,7±2,31 mV). Sehingga dapat disimpulkan bahwa Box Behnken Design (BBD) dapat digunakan untuk optimasi nanoemulsi minyak biji anggur dengan energi tinggi.
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