BioProNET2 and PSE have come together to host a workshop entitled Chromtography Modelling for Protein Separation.

Siemens Process Systems Engineering provides model-based solutions spanning the entire process lifecycle via a unified and integrated set of tools that are widely acknowledged to be leaders in their respective fields. Our technology is used within digital R&D, design and operations in the process industries to help make fast, safe and more efficient decisions through rapid and effective exploration of the decision space.  

Chromatography processes are the downstream purification workhorses for many industries. They are the most expensive sections of the manufacturing process and are often the processing bottleneck. Process development is a significant task due to the large decision space, limited material availability and constricted timelines. Inherent variability in feed streams, high purity constraints, and maintenance issues such as resin fouling pose additional challenges.

Chromatography science-based digital twins can bring value to businesses across R&D, engineering, and manufacturing functions through digital design and optimisation, risk assessment, design space exploration and scale up/tech transfer. The result is accelerated innovation with faster time-to-market, improved process and product design, enhanced operations, more efficient and effective R&D and experimental programmes, and better-managed risk.

This introductory virtual training covers the use of PSE’s chromatography model libraries in gPROMS FormulatedProducts. During the training attendees will learn the capabilities of the tool through guided hands-on exercises, presentations and video demonstrations. Attendees will gain hands-on experience configuring and calibrating a mechanistic chromatography model using experimental data. Then they will learn how to perform a global system analysis to assess the system’s sensitivity to a wide range of process parameters, including elution settings and load variability. The last exercise will cover how mechanistic models can be used to de-risk the move from a batch to a continuous chromatography process.

The workshop will be held on the afternoon of 24th June 2021 and as places are limited, we can only permit a maximum of two individuals from a company or institute to attend. Attendees with roles in both industry and academia are welcome. Once you have submitted your completed registration form, your application will be reviewed and you will be notified of the outcome by BioProNET2. Details of the full programme and workshop material will be shared by PSE ahead of the workshop and will involve pre-workshop reading by the selected participants.



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* 1. Name

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* 2. Company or University

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* 3. Your role within either Company or University

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* 4. Email address

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* 5. In no more that 10 lines please outline why you are interested in attending the workshop and what you expect to achieve?

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* 6. What is your previous modelling experience, if any?

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* 7. Is there any additional information you would like to share?

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* 8. Do you give BioProNET2 permission to share your email address and answers with PSE?

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* 9. You will not receive an acknowledgement from this system.
The application closing date is June 7th and we will aim to let you know by June 11th if you have a place at the workshop. There are a limited number of places for the workshop so we will have a waiting list and if oversubscribed we will run another workshop later in 2021.

If you have any questions about workshop registration please contact Jo Flannelly (joanne.flannelly@manchester.ac.uk)

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