(697a) Process Modelling, Simulation and Optimisation for Continuous Biopharmaceutical Manufacturing
- Conference: AIChE Annual Meeting
- Year: 2018
- Proceeding: 2018 AIChE Annual Meeting
- Group: Pharmaceutical Discovery, Development and Manufacturing Forum
- Time: Thursday, November 1, 2018 - 3:30pm-3:50pm
Process systems engineering (PSE) methodologies are valid alternatives to laborious experimental campaigns at the early stages of process development, allowing screening for promising candidate process configurations prior to further development and scale-up , as well as in retrofitting . For sterile filling of biopharmaceuticals, a systematic decision-making procedure has been developed to support the selection of equipment technology, in order to choose between conventional multi-use or novel single-use options . Process modelling and nonlinear optimisation studies have also been used to establish cost optimal operating configurations for the CPM of pharmaceutical  and biopharmaceutical products . However, plantwide modelling, simulation and technoeconomic optimisation of a continuous biopharmaceutical manufacturing plant has yet to be implemented to establish such cost optimal operating configurations.
This paper presents the nonlinear optimisation for total cost minimisation of the upstream continuous manufacturing of a biopharmaceutical product. Kinetic parameter estimation for biopharmaceutical synthesis modelling has been performed on the basis of available literature data for a batch culture of hybridoma cell line  and for a continuous culture of budding yeasts . Plantwide models for both upstream synthesis and downstream separation process models are then discussed, and the formulation of the objective function (plant cost) for total cost minimisation is presented, along with the illustration of minima for various process configurations, followed by a critical discussion of the implemented methodology. This work illustrates potential advantages attainable via end-to-end continuous biopharmaceutical manufacturing, and the importance of process modelling and optimisation studies at the early stages of design.
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