Visualizing integrated bioprocess designs through "windows of operation"

• Published in: Biotechnology and bioengineering 1999-12, Vol.65 (5), p.550-557
• Main Authors: Zhou, Y. H., Titchener-Hooker, N. J.
• Format: Article
• Language: English
• Subjects: Alcohol Dehydrogenase - biosynthesis; Alcohol Dehydrogenase - isolation & purification; Biological and medical sciences; Biomedical Engineering; bioprocess modeling; Biotechnology; Biotechnology - methods; Computer simulation; Computer-Aided Design; Enzyme engineering; Enzymes; feasible space; Fermentation; Fundamental and applied biological sciences. Psychology; Improved methods for extraction and purification of enzymes; interactions; Mathematical models; Methods. Procedures. Technologies; Models, Biological; Production of selected enzymes; Saccharomyces cerevisiae - enzymology; simulation; Visualization; windows of operation; Yeast
• ISSN: 0006-3592; 1097-0290
• DOI: 10.1002/(SICI)1097-0290(19991205)65:5<550::AID-BIT8>3.0.CO;2-0

This paper demonstrates a simple graphical approach for the design and analysis of a bioprocess flowsheet in which process interactions are significant. Results are presented showing how the feasible space for operation can be simulated and used both to address key design and operating decisions and to identify suitable trade‐offs between operating variables, such as fermentation growth rate and disruption conditions, in order to achieve prespecified levels of process performance. Using verified models to describe the production and isolation of an intracellular protein alcohol dehydrogenase (ADH) in yeast as a test bed, a series of so‐called “windows of operation” are developed at growth rates in the range of 0.06–0.28 h−1 and for a range of overall process specifications. The effects of altering the process design performance specification as defined by the level of cell debris removal and the overall process productivity on the size and position of the feasible space were investigated to demonstrate the sensitivity of the flowsheet to changes in process objectives. Using the approach it has been possible to visualise the processing trade‐offs required to increase performance in terms of the level of cell debris removal by 50% and the overall process productivity by 400% from a defined base level. The approach provides a convenient tool when designing integrated bioprocesses by enabling process options to be compared visually and can help in achieving better process designs and accelerating process development for the biological process industry. © 1999 John Wiley & Sons, Inc. Biotechnol Bioeng 65: 550–557, 1999.