Digital twins : tools and concepts for smart biomanufacturing / Christoph Herwig, Ralf Pörtner, Johannes Möller, editors ; with contributions by C. Appl [and more].
Herwig, Christoph, editor.; Pörtner, Ralf, editor.; Möller, Johannes, editor.
2021
TP248.3
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Title
Digital twins : tools and concepts for smart biomanufacturing / Christoph Herwig, Ralf Pörtner, Johannes Möller, editors ; with contributions by C. Appl [and more].
ISBN
9783030716608 (electronic bk.)
3030716600 (electronic bk.)
9783030716592 (print)
3030716597
DOI
https://doi.org/10.1007/978-3-030-71660-8
Published
Cham, Switzerland : Springer, [2021]
Language
English
Description
1 online resource (vii, 262 pages) : illustrations (some color)
Item Number
10.1007/978-3-030-71660-8 doi
Call Number
TP248.3
Dewey Decimal Classification
660.6/3
Summary
This is the first 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 explains the mathematical structure of digital twins, their development and the model's respective parts, as well as concepts for the knowledge-driven generation and structural variability of digital twins. Covering fundamentals as well as applications, the two volumes offer the ideal introduction to the topic for researchers in academy and industry alike.
Access Note
Access limited to authorized users.
Source of Description
Online resource; title from PDF title page (SpringerLink, viewed April 26, 2021).
Added Author
Herwig, Christoph, editor.
Pörtner, Ralf, editor.
Möller, Johannes, editor.
Series
Advances in biochemical engineering/biotechnology ; 176. 0724-6145
Available in Other Form
Print version: 9783030716592
Linked Resources
Online Access
Record Appears in
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All Resources
Towards the development of digital twins for the biomanufacturing industry
When is an In silico representation a digital twin? A biopharmaceutical industry approach to the digital twin concept
Digitalization and bioprocessing, regulatory aspects
Usage of Digital Twins along a typical process development cycle
Mechanistic Mathematical Models as a Basis for Process Optimization and Digital Twins
Digital Seed Train Twins and Statistical Methods
Digital Twins in Biomanufacturing.

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