College of Pharmacy and Health Sciences, St. John's University, Queens, NY, USA.
College of Pharmacy and Health Sciences, St. John's University, Queens, NY, USA; SE Tylose USA Inc., Pharmaceutical Application Laboratory, 140 Commerce Way, Totowa, NJ, USA.
Int J Pharm. 2021 Jan 25;593:120101. doi: 10.1016/j.ijpharm.2020.120101. Epub 2020 Dec 10.
The purpose of this study was to optimize the melt granulation process of fenofibrate using twin-screw granulator. Initial screening was performed to select the excipients required for melt granulation process. A 3 × 3 factorial design was used to optimize the processing conditions using the % drug loading (X) and screw speed (X) as the independent parameters and granule friability (Y) % yield (Y) as the dependent parameters. The effect of the independent parameters on the dependent parameters was determined using response surface plots and contour plots. A linear relationship was observed between % drug loading (X) and % friability (Y) and a quadratic relationship was observed between the independent parameters (X and X) and % yield (Y). The processing conditions for optimum granules were determined using numerical and graphical optimization and it was found that 15% drug loading at 50 rpm results in maximum % yield of 82.38% and minimum friability of 7.88%. The solid-state characterization of the optimized granules showed that the drug turned from crystalline state to amorphous state during melt granulation process. The optimized granules were compressed into tablets using Purolite® as the super disintegrating agent. The optimized formulation showed >85% drug release in 0.75% SLS solution within 60 min.
本研究旨在使用双螺杆造粒机优化非诺贝特的熔融制粒工艺。首先进行了初步筛选,以选择熔融制粒过程所需的赋形剂。采用 3×3 析因设计,以药物负载量(X)和螺杆转速(X)为独立参数,颗粒脆碎度(Y)%和产率(Y)为依赖参数,优化加工条件。使用响应面图和等高线图确定独立参数对依赖参数的影响。药物负载量(X)与脆碎度(Y)呈线性关系,独立参数(X 和 X)与产率(Y)呈二次关系。通过数值和图形优化确定最佳颗粒的加工条件,发现 15%的药物负载量在 50rpm 下可获得最大产率 82.38%和最小脆碎度 7.88%。优化颗粒的固态特性表明,药物在熔融制粒过程中从结晶态转变为无定形态。使用 Purolite®作为超级崩解剂将优化的颗粒压制成片剂。优化的配方在 60 分钟内,在 0.75% SLS 溶液中释放超过 85%的药物。