Completed Chemistry Materials & Manufacturing

Intelligent Decision Support and Control Technologies for Continuous Manufacturing of Pharmaceuticals and Fine Chemicals

In plain English

AI plain-English summary

Continuous crystallisation can make pharmaceuticals and fine chemicals faster and more efficiently, but manufacturers currently cannot monitor the shape, size, and form of particles in real time across multiple production steps. This matters because particle attributes directly determine how well a drug powder flows, compresses into tablets, or dissolves in the body. Without reliable, real-time data from in-line sensors, manufacturers cannot adjust processes on the fly to keep quality consistent. The project aims to build an intelligent decision-support and control system that extracts those attributes from sensor data and uses them to automatically steer production. If successful, the research will create a flexible test-bed platform that connects sensor data, process control, and user interfaces. This platform will be made available to national and international users, accelerating adoption across the pharmaceutical and fine-chemical sectors. The project will also produce a technology roadmap for industry and train a cohort of cross-disciplinary engineers capable of deploying these solutions. The immediate impact is on manufacturing efficiency and product consistency—things the public rarely sees but that determine whether a medicine is affordable and reliable.

View original technical description
Although continuous crystallisation provides significant benefits to innovative manufacture, the key challenge of real time, robust monitoring of quantitative attributes (form, shape, size) of particulate products still remains a massive challenge. While particle attributes are crucial for downstream processing of products, no current solution allows the processing of data from in-line sensors to reliably extract these attributes in real time across multiple manufacturing steps and the subsequent use of this knowledge for IDS and control of processes. The development of solutions for the sector requires expertise across many technologies driven by end user requirements. Industrial co-creators will provide the requirements, the range of expertise within the applicants ensuring that the goals of the programme are met. The grant will enable the establishment of a process test-bed which as the project matures, will be made available to a range of national and international user and application communities. This activity will support the creation of a requirement and technology roadmap, in so doing informing both the research and commercial communities on future opportunities. The project will also yield the following added value to the community: - the cross-disciplinary nature of the project and participating teams will stimulate new solutions and promote creativity through sharing best practice in executing research from different perspectives - the PDRAs will be applying their know-how to joint development tasks, allowing them to gain comprehensive knowledge and expertise across a range of field and in so doing provide trained, talented engineers that will fuel the deployment of these innovative solutions - the project addresses the integration of a number of distinct architectural layers to transform a physical infrastructure into a flexible platform which supports a range of applications whilst accessible to users

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Researchers

Alastair Florence (Co-Investigator)Alison Nordon (Co-Investigator)Anthony Gachagan (Co-Investigator)Anthony John Mulholland (Co-Investigator)Blair Johnston (Co-Investigator)Chris Rielly (Co-Investigator)Ivan Andonovic (Principal Investigator)Jan Sefcik (Co-Investigator)Massimiliano Vasile (Co-Investigator)Stephen Marshall (Co-Investigator)Umit Bititci (Co-Investigator)Walter Michie (Co-Investigator)Zoltan Nagy (Co-Investigator)

Related Research

Grants with similar aims, by meaning.

Autonomous MicroScale Manufacture of Active Pharmaceutical Ingredients (APIs)
EPSRC Centre for Innovative Manufacturing for Continuous Manufacturing and Crystallisation
Data-driven approaches for in-line monitoring of particle attributes in chemical and pharmaceutical manufacturing processes.
Development of an Innovative Modular System for Continuous Chemical Processing
Advanced Crystal Shape Descriptors for Precision Particulate Design, Characterisation and Processing (Shape4PPD)

Original classification

Research Grant

Plain English summaries and category classifications on this site are generated by AI and may not perfectly reflect the original research.