Digital twins : applications to the design and optimization of bioprocesses /

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Bibliographic Details
Imprint:Cham, Switzerland : Springer, 2021.
Description:1 online resource (vii, 254 pages) : illustrations (some color)
Language:English
Series:Advances in biochemical engineering/biotechnology, 0724-6145 ; 177
Advances in biochemical engineering/biotechnology ; 177.
Subject:
Format: E-Resource Book
URL for this record:http://pi.lib.uchicago.edu/1001/cat/bib/12612440
Hidden Bibliographic Details
Varying Form of Title:Applications to the design and optimization of bioprocesses
Other authors / contributors:Herwig, Christoph, editor.
Pörtner, Ralf, editor.
Möller, Johannes, editor.
ISBN:9783030716561
3030716562
9783030716554
3030716554
Notes:Online resource; title from PDF title page (SpringerLink, viewed April 26, 2021).
Summary:This is the second of two volumes that together provide an overview of the latest advances in the generation and application of digital twins in bioprocess design and optimization. Both processes have undergone significant changes over the past few decades, moving from data-driven approaches into the 21st-century digitalization of the bioprocess industry. Moreover, the high demand for biotechnological products calls for efficient methods during research and development, as well as during tech transfer and routine manufacturing. In this regard, one promising tool is the use of digital twins, which offer a virtual representation of the bioprocess. They reflect the mechanistics of the biological system and the interactions between process parameters, key performance indicators and product quality attributes in the form of a mathematical process model. Furthermore, digital twins allow us to use computer-aided methods to gain an improved process understanding, to test and plan novel bioprocesses, and to efficiently monitor them. This book focuses on the application of digital twins in various contexts, e.g. computer-aided experimental design, seed train prediction, and lifeline analysis. Covering fundamentals as well as applications, the two volumes offers the ideal introduction to the topic for researchers in academy and industry alike.
Other form:Original 3030716554 9783030716554
Standard no.:10.1007/978-3-030-71656-1