School of Aeronautics and Astronautics, Purdue University, 701 W. Stadium Ave., West Lafayette, IN, 47907, USA.
AAPS PharmSciTech. 2019 Oct 31;20(8):328. doi: 10.1208/s12249-019-1532-7.
This work presents a new user-friendly lyophilization simulation and process optimization tool, freely available under the name LyoPRONTO. This tool comprises freezing and primary drying calculators, a design-space generator, and a primary drying optimizer. The freezing calculator performs 0D lumped capacitance modeling to predict the product temperature variation with time which shows reasonably good agreement with experimental measurements. The primary drying calculator performs 1D heat and mass transfer analysis in a vial and predicts the drying time with an average deviation of 3% from experiments. The calculator is also extended to generate a design space over a range of chamber pressures and shelf temperatures to predict the most optimal setpoints for operation. This optimal setpoint varies with time due to the continuously varying product resistance and is taken into account by the optimizer which provides varying chamber pressure and shelf temperature profiles as a function of time to minimize the primary drying time and thereby, the operational cost. The optimization results in 62% faster primary drying for 5% mannitol and 50% faster primary drying for 5% sucrose solutions when compared with typical cycle conditions. This optimization paves the way for the design of the next generation of lyophilizers which when coupled with accurate sensor networks and control systems can result in self-driving freeze dryers.
这项工作提出了一个新的用户友好型冷冻干燥模拟和工艺优化工具,名为 LyoPRONTO,可以免费使用。该工具包括冷冻和初级干燥计算器、设计空间生成器和初级干燥优化器。冷冻计算器采用 0D 集总电容建模来预测产品随时间的温度变化,与实验测量结果具有相当好的一致性。初级干燥计算器在瓶中进行 1D 热质传递分析,并预测干燥时间,平均偏差为实验值的 3%。该计算器还扩展到生成一个在腔室压力和搁板温度范围内的设计空间,以预测最优化的操作设定点。由于产品阻力不断变化,这个最佳设定点随时间而变化,优化器会考虑到这一点,提供随时间变化的腔室压力和搁板温度曲线,以最小化初级干燥时间,从而降低运营成本。与典型的循环条件相比,优化结果使 5%甘露醇的初级干燥时间缩短了 62%,5%蔗糖溶液的初级干燥时间缩短了 50%。这种优化为下一代冷冻干燥机的设计铺平了道路,当与精确的传感器网络和控制系统相结合时,可以实现自动驾驶的冷冻干燥机。