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Measurement, Monitoring, Modelling and Control of Bioprocesses

Overview of attention for book
Attention for Chapter 170: Modelling Approaches for Bio-Manufacturing Operations.
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Chapter title
Modelling Approaches for Bio-Manufacturing Operations.
Chapter number 170
Book title
Measurement, Monitoring, Modelling and Control of Bioprocesses
Published in
Advances in biochemical engineering biotechnology, November 2012
DOI 10.1007/10_2012_170
Pubmed ID
Book ISBNs
978-3-64-236837-0, 978-3-64-236838-7
Authors

Chhatre S, Sunil Chhatre

Abstract

Fast and cost-effective methods are needed to reduce the time and money needed for drug commercialisation and to determine the risks involved in adopting specific manufacturing strategies. Simulations offer one such approach for exploring design spaces before significant process development is carried out and can be used from the very earliest development stages through to scale-up and optimisation of operating conditions and resource deployment patterns both before and after plant start-up. The advantages this brings in terms of financial savings can be considerable, but to achieve these requires a full appreciation of the complexities of processes and how best to represent them mathematically within the context of in silico software. This chapter provides a summary of some of the work that has been carried out in the areas of mathematical modelling and discrete event simulations for production, recovery and purification operations when designing bio-pharmaceutical processes, looking at both financial and technical modelling.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 25 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 25 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 8 32%
Researcher 4 16%
Student > Bachelor 2 8%
Student > Master 2 8%
Professor 2 8%
Other 3 12%
Unknown 4 16%
Readers by discipline Count As %
Engineering 7 28%
Chemical Engineering 6 24%
Agricultural and Biological Sciences 5 20%
Biochemistry, Genetics and Molecular Biology 2 8%
Chemistry 1 4%
Other 1 4%
Unknown 3 12%