Computational modelling of separation processes for green continuous pharmaceutical manufacturing

与目前使用但效率低下的批量生产方法相比，连续制药制造(CPM)已被证明能够显著节省成本并减少材料需求和浪费。由于研发成本是所有工业部门中最高的，而且商业化成本在历史上不断上升，技术创新对制药公司保持盈利和可持续发展至关重要。要让工业界实现CPM的好处，证明其可行性和可行性是至关重要的。拟议的PHD项目着眼于通过药物纯化和分离阶段的过程建模和模拟来关注CPM的环境效益。将使用严格的热力学模型对分离过程进行非线性规划，以提供对最佳分离过程选择的见解。这将展示CPM在当前批量生产模式下的绿色效益，并有助于推动当今制药业从批量生产向连续生产的转变。

Continuous pharmaceutical manufacturing (CPM) has been shown to provide significant cost savings and reduction of material requirements and waste compared to the currently used, yet inefficient, batch methods. With the highest research and development costs of all industrial sectors, and historically increasing commercialisation costs, technological innovation is essential for pharmaceutical firms to remain profitable and sustainable. For the benefits of CPM to be realised by industry, demonstration of its feasibility and viability is paramount. The proposed PhD project looks to focus on the environmental benefits of CPM by process modelling and simulation of drug purification and separation stages. Non-linear programming of separation processes using rigorous thermodynamic modelling will be implemented to provide insights into the best separation process options. This will showcase the green benefits of CPM over the current batch paradigm, and contribute work to further the switch from batch to continuous manufacturing in the pharmaceutical industry today.