设定值
工艺工程
冷冻干燥
工艺优化
燃烧室压力
计算器
计算机科学
温度控制
过程(计算)
模拟
机械工程
材料科学
化学
工程类
化学工程
色谱法
操作系统
冶金
人工智能
作者
Gayathri Shivkumar,Petr Kazarin,Andrew Strongrich,Alina Alexeenko
出处
期刊:Aaps Pharmscitech
[Springer Science+Business Media]
日期:2019-10-31
卷期号:20 (8): 328-328
被引量:35
标识
DOI:10.1208/s12249-019-1532-7
摘要
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.
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