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- W2348842016 abstract "Objective To optimize the preparation of doxorubicin-loaded albumin nanoparticles using response surface methodology(RSM).Methods Albumin nanoparticles were prepared through a desolvation method and optimized in the aid of central composite design.Albumin concentration(X1:ρ1,g·L-1),amount of doxorubicin(X2:ρ2,g·L-1),pH values(X3),and theoretical degree of crosslinking of albumin(X4,%)were selected as independent variables,and nanoparticle size,zeta potential,drug loading and encapsulation efficiency as response variables.A central composite design(CCD)for four factors at five levels was used in this study.Response surface methodology and multiple response optimizations utilizing a quadratic polynomial equation were used to obtain an optimal formulation.The appearance and shape of the particles were also researched through transmission electron microscope.Results In the optimal formulation for doxorubicin-loaded albumin nanoparticles was as follows:albumin concentration was 17 g·L-1,amount of doxorubicin was 2 g·L-1,pH value was 9 and theoretical degree was 125% crosslinking of albumin;under the optimized conditions,the average value of mean particle size was(151±0.43)nm,zeta potential was(-18.8±0.21)mV,drug loading efficiency was(21.4±0.70)%,drug entrapment efficiency was(76.9±0.21)%.Conclusions This study shows that the RSM-CCD method can efficiently and precisely be applied for the modeling of albumin nanoparticles." @default.
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- W2348842016 date "2011-01-01" @default.
- W2348842016 modified "2023-09-28" @default.
- W2348842016 title "Optimization on the preparation of doxorubicin-loaded albumin nanoparticles using central composite design-response surface methodology" @default.
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