Casas-Orozco Daniel, Laky Daniel, Wang Vivian, Abdi Mesfin, Feng X, Wood E, Laird Carl, Reklaitis Gintaras V, Nagy Zoltan K
Davidson School of Chemical Engineering, Purdue University, West Lafayette, IN 47906, USA.
Office of Pharmaceutical Quality, Center for Drug Evaluation and Research, Food & Drug Administration, Silver Spring, MD, USA.
Comput Chem Eng. 2021 Oct;153. doi: 10.1016/j.compchemeng.2021.107408.
Process design and optimization continue to provide computational challenges as the chemical engineering and process optimization communities seek to address more complex and larger scale applications. Software tools for digital design and flowsheet simulation are readily available for traditional chemical processing applications such as in commodity chemicals and hydrocarbon processing; however, tools for pharmaceutical manufacturing are much less well developed. This paper introduces, PharmaPy, a Python-based modelling platform for pharmaceutical manufacturing systems design and optimization. The versatility of the platform is demonstrated in simulation and optimization of both continuous and batch processes. The structure and features of a Python-based modeling platform, PharmaPy are presented. Illustrative examples are shown to highlight key features of the platform and framework.
随着化学工程和过程优化领域寻求解决更复杂、更大规模的应用,过程设计和优化持续带来计算方面的挑战。用于数字设计和流程图模拟的软件工具在传统化学加工应用中很容易获得,比如在大宗商品化学品和烃加工领域;然而,用于制药生产的工具则远未得到充分发展。本文介绍了PharmaPy,这是一个用于制药生产系统设计和优化的基于Python的建模平台。该平台的通用性在连续和间歇过程的模拟与优化中得到了体现。文中展示了基于Python的建模平台PharmaPy的结构和特性。通过示例突出了该平台和框架的关键特性。