Case studies in the modeling and control of continuous pharmaceutical manufacturing processes

The pharmaceutical industry employs a myriad of modalities; ranging from small molecules to biologics such as peptides, monoclonal antibodies, bi-specific antibodies, and viral vectors. The manufacturing of these products is as varied as the products themselves. Small molecules are synthesized chemically; i.e. by a series of key chemical transformation, work-up, and recovery steps. Larger molecules can be isolated from naturally occurring sources (i.e. humans, plants, or other microorganisms), or produced via recombinant hosts such as Chinese hamster ovary (CHO), Escherichia coli, or Saccharomyces cerevisiae, with some products requiring both a recombinant host and transient transfection or infection with additional genetic material. Across these modalities, industry, regulatory agencies and academia are investigating technologies for improved quality, efficiency, capability, and consistency. Of these technologies, continuous manufacturing (CM) is of particular interest due to its ability to allow for reduced equipment sizing and footprint, improved environmental sustainability, and improved process control. This thesis supports the implementation of continuous pharmaceutical manufacturing through advanced modeling, simulation, and control as described in three independent case studies. The first work considers the development of a virtual plant for manufacturing of a small molecule active pharmaceutical intermediate (API) through four chemical transformation, workup, and recovery steps. The plant is used for uncertainty quantification, improved process design, and novel process control strategy development. The second work considers the production of small, globular proteins by the yeast Pichia pastoris. A model for copy number stability is developed and validated using data in open literature and data generated at MIT. The third work concerns the production of monoclonal antibodies (mAbs) using Chinese hamster ovary cells as a production host. Hardware considerations, lower level regulatory controls, and advanced process modeling and control for a heavily-instrumented mAb manufacturing testbed are discussed. Across this thesis, the benefits of systems-level analysis in the continuous manufacturing of pharmaceuticals is documented and demonstrated.

Name thesis:degree_name

Doctoral

Department dc:contributor.department

Massachusetts Institute of Technology. Department of Chemical Engineering

Grantor dc:publisher

Massachusetts Institute of Technology

Year dc:date.issued

2021

Author dc:creator

• Maloney, Andrew John

Advisor dc:contributor.advisor

• Braatz, Richard D.

Statement dc:rights

• In Copyright - Educational Use Permitted
• Copyright MIT

Licence dc:rights.uri

• http://rightsstatements.org/page/InC-EDU/1.0/

Handle dc:identifier.uri

https://hdl.handle.net/1721.1/158315

OAI identifier oai:identifier

oai:dspace.mit.edu:1721.1/158315