a Department of Chemical Engineering , University of Massachusetts Lowell , Lowell , MA , USA.
Pharm Dev Technol. 2018 Dec;23(10):1097-1107. doi: 10.1080/10837450.2018.1425429. Epub 2018 Jan 17.
Continuous manufacturing techniques are increasingly being adopted in the pharmaceutical industry and powder blending is a key operation for solid-dosage tablets. A modeling methodology involving axial and radial tanks-in-series flowsheet models is developed to describe the residence time distribution (RTD) and blend uniformity of a commercial powder blending system. Process data for a six-component formulation processed in a continuous direct compression line (GEA Pharma Systems) is used to test the methodology. Impulse tests were used to generate experimental RTDs which are used along with parameter estimation to determine the number of axial tanks in the flowsheet. The weighted residual from the parameter estimation was less than the χ value at a 95% confidence indicating a good fit between the model and measured data. In-silico impulse tests showed the tanks-in-series modeling methodology could successfully describe the RTD behavior of the blenders along with blend uniformity through the use of radial tanks. The simulation output for both impulse weight percentage and blend uniformity were within the experimentally observed variance.
连续制造技术在制药行业中越来越多地被采用,粉末混合是固体制剂片剂的关键操作。本研究开发了一种涉及轴向和径向罐串联流动模型的建模方法,用于描述商业粉末混合系统的停留时间分布(RTD)和混合均匀度。使用在连续直接压缩线(GEA Pharma Systems)中处理的六组分配方的过程数据来测试该方法。使用脉冲测试生成实验 RTD,这些 RTD 与参数估计一起用于确定流程图中轴向罐的数量。参数估计的加权残差小于 95%置信区间的 χ 值,表明模型与测量数据之间具有良好的拟合度。仿真脉冲测试表明,串联罐模型方法可以通过使用径向罐成功描述混合器的 RTD 行为以及混合均匀度。脉冲权重百分比和混合均匀度的模拟输出均在实验观察到的方差范围内。