Heidari Hamidreza, Muanpaopong Nontawat, Guner Gulenay, Yao Helen F, Clancy Donald J, Bilgili Ecevit
Otto H. York Department of Chemical and Materials Engineering, New Jersey Institute of Technology, Newark, NJ 07102, USA.
Drug Product Development, GlaxoSmithKline, Collegeville, PA 19426, USA.
Pharmaceutics. 2024 Mar 2;16(3):353. doi: 10.3390/pharmaceutics16030353.
We examined the evolution of fenofibrate (FNB, drug) particle size distribution (PSD) during the production of nanosuspensions via wet stirred media milling (WSMM) with a cell-based population balance model (PBM). Our objective was to elucidate the potential impacts of batch size, suspension volumetric flow rate, and imperfect mixing in a recirculating WSMM. Various specific breakage rate functions were fitted to experimental PSD data at baseline conditions assuming perfect mixing. Then, the best function was used to simulate the PSD evolution at various batch sizes and flow rates to validate the model. A novel function, which is a product of power-law and logistic functions, fitted the evolution the best, signifying the existence of a transition particle size commensurate with a grinding limit. Although larger batches yielded coarser and wider PSDs, the suspensions had identical PSDs when milled for the same effective milling time. The flow rate had an insignificant influence on the PSD. Furthermore, the imperfect mixing in the mill chamber was simulated by considering more than one cell and different back-mixing flow ratios. The effects were weak and restricted to the first few turnovers. These insights contribute to our understanding of recirculating WSMM, providing valuable guidance for process development.
我们使用基于细胞的总体平衡模型(PBM),通过湿式搅拌介质研磨(WSMM)研究了非诺贝特(FNB,药物)纳米悬浮液生产过程中粒径分布(PSD)的演变。我们的目的是阐明批量大小、悬浮液体积流速以及循环式WSMM中混合不充分的潜在影响。在假设完全混合的基线条件下,将各种特定破碎速率函数拟合到实验PSD数据。然后,使用最佳函数模拟不同批量大小和流速下的PSD演变,以验证模型。一种由幂律函数和逻辑函数相乘得到的新函数对演变的拟合效果最佳,这表明存在与研磨极限相对应的转变粒径。尽管较大的批次会产生更粗且更宽的PSD,但当研磨相同的有效研磨时间时,悬浮液具有相同的PSD。流速对PSD的影响不显著。此外,通过考虑多个单元和不同的返混流率来模拟研磨室内的混合不充分情况。影响较弱且仅限于最初的几个周转。这些见解有助于我们理解循环式WSMM,为工艺开发提供有价值的指导。