ABSTRACT
Objective: With nonionic surfactants as the carrier material to prepare glycyrrhetinic acid (GC) niosomes (NI) and to evaluate the quality. Methods: The thin film dispersion-ultrasound method was used for establishing the preparation process of GC - NI, reverse dialysis method and ultraviolet spectrophotometer method were used to determine the encapsulation efficiency (EE), the prescription and preparation process were optimized through single factor and central composite design-response surface methodology (CCD-RSM), and the properties of morphology, particle size, Zeta potential, and EE in optimized NI were investigated. Results: The optimum prescription process as Span 80-cholesterol was 2:1, hydration temperature was 70℃, hydration time was 51 min, ultrasonic time was 60 min, its forecast EE was 80.66%, bias between the observed and predicted values was 4.95%, and regression coefficient of binomial fitting complex model was as high as 0.989 9. Conclusion: CCD-RSM is used to optimize the preparation, which has the stable, feasible, high precision, and good predictability advantage.