---
_id: '3349'
abstract:
- lang: eng
  text: "Model-based concepts and simulation techniques in combination with digital
    tools emerge as a key to explore the full potential of biopharmaceutical production
    processes, which contain several challenging development and process steps. One
    of these steps is the time- and cost-intensive cell proliferation process (also
    called seed train) to increase cell number from cell thawing up to production
    scale. Challenges like complex cell metabolism, batch-to-batch variation, variabilities
    in cell behavior, and influences of changes in cultivation conditions necessitate
    adequate digital solutions to provide information about the current and near future
    process state to derive correct process decisions.\r\nFor this purpose digital
    seed train twins have proved to be efficient, which digitally display the time-dependent
    behavior of important process variables based on mathematical models, strategies,
    and adaption procedures.\r\nThis chapter will outline the needs for digitalization
    of seed trains, the construction of a digital seed train twin, the role of parameter
    estimation, and different statistical methods within this context, which are applicable
    to several problems in the field of bioprocessing. The results of a case study
    are presented to illustrate a Bayesian approach for parameter estimation and prediction
    of an industrial cell culture seed train for seed train digitalization."
author:
- first_name: Tanja
  full_name: Hernández Rodriguez, Tanja
  id: '52466'
  last_name: Hernández Rodriguez
- first_name: Björn
  full_name: Frahm, Björn
  id: '45666'
  last_name: Frahm
citation:
  ama: 'Hernández Rodriguez T, Frahm B. Digital Seed Train Twins and Statistical Methods.
    In: Herwig C, Pörtner R, Möller J, eds. <i>Digital Twins Tools and Concepts for
    Smart Biomanufacturing</i>. Vol 176. Advances in Biochemical Engineering/Biotechnology.
    Springer; 2021:97-131. doi:<a href="https://doi.org/10.1007/10_2020_137">https://doi.org/10.1007/10_2020_137</a>'
  apa: Hernández Rodriguez, T., &#38; Frahm, B. (2021). Digital Seed Train Twins and
    Statistical Methods. In C. Herwig, R. Pörtner, &#38; J. Möller (Eds.), <i>Digital
    Twins Tools and Concepts for Smart Biomanufacturing</i> (Vol. 176, pp. 97–131).
    Springer. <a href="https://doi.org/10.1007/10_2020_137">https://doi.org/10.1007/10_2020_137</a>
  bjps: '<b>Hernández Rodriguez T and Frahm B</b> (2021) Digital Seed Train Twins
    and Statistical Methods. In Herwig C, Pörtner R and Möller J (eds), <i>Digital
    Twins Tools and Concepts for Smart Biomanufacturing</i>, vol. 176. Berlin, Heidelberg:
    Springer, pp. 97–131.'
  chicago: 'Hernández Rodriguez, Tanja, and Björn Frahm. “Digital Seed Train Twins
    and Statistical Methods.” In <i>Digital Twins Tools and Concepts for Smart Biomanufacturing</i>,
    edited by Christoph  Herwig, Ralf  Pörtner, and Johannes  Möller, 176:97–131.
    Advances in Biochemical Engineering/Biotechnology. Berlin, Heidelberg: Springer,
    2021. <a href="https://doi.org/10.1007/10_2020_137">https://doi.org/10.1007/10_2020_137</a>.'
  chicago-de: 'Hernández Rodriguez, Tanja und Björn Frahm. 2021. Digital Seed Train
    Twins and Statistical Methods. In: <i>Digital Twins Tools and Concepts for Smart
    Biomanufacturing</i>, hg. von Christoph  Herwig, Ralf  Pörtner, und Johannes  Möller,
    176:97–131. Advances in Biochemical Engineering/Biotechnology. Berlin, Heidelberg:
    Springer. doi:<a href="https://doi.org/10.1007/10_2020_137">https://doi.org/10.1007/10_2020_137</a>,
    .'
  din1505-2-1: '<span style="font-variant:small-caps;">Hernández Rodriguez, Tanja</span>
    ; <span style="font-variant:small-caps;">Frahm, Björn</span>: Digital Seed Train
    Twins and Statistical Methods. In: <span style="font-variant:small-caps;">Herwig,
    C.</span> ; <span style="font-variant:small-caps;">Pörtner, R.</span> ; <span
    style="font-variant:small-caps;">Möller, J.</span> (Hrsg.): <i>Digital Twins Tools
    and Concepts for Smart Biomanufacturing</i>, <i>Advances in Biochemical Engineering/Biotechnology</i>.
    Bd. 176. Berlin, Heidelberg : Springer, 2021, S. 97–131'
  havard: 'T. Hernández Rodriguez, B. Frahm, Digital Seed Train Twins and Statistical
    Methods, in: C. Herwig, R. Pörtner, J. Möller (Eds.), Digital Twins Tools and
    Concepts for Smart Biomanufacturing, Springer, Berlin, Heidelberg, 2021: pp. 97–131.'
  ieee: 'T. Hernández Rodriguez and B. Frahm, “Digital Seed Train Twins and Statistical
    Methods,” in <i>Digital Twins Tools and Concepts for Smart Biomanufacturing</i>,
    vol. 176, C. Herwig, R. Pörtner, and J. Möller, Eds. Berlin, Heidelberg: Springer,
    2021, pp. 97–131. doi: <a href="https://doi.org/10.1007/10_2020_137">https://doi.org/10.1007/10_2020_137</a>.'
  mla: Hernández Rodriguez, Tanja, and Björn Frahm. “Digital Seed Train Twins and
    Statistical Methods.” <i>Digital Twins Tools and Concepts for Smart Biomanufacturing</i>,
    edited by Christoph  Herwig et al., vol. 176, Springer, 2021, pp. 97–131, <a href="https://doi.org/10.1007/10_2020_137">https://doi.org/10.1007/10_2020_137</a>.
  short: 'T. Hernández Rodriguez, B. Frahm, in: C. Herwig, R. Pörtner, J. Möller (Eds.),
    Digital Twins Tools and Concepts for Smart Biomanufacturing, Springer, Berlin,
    Heidelberg, 2021, pp. 97–131.'
  ufg: '<b>Hernández Rodriguez, Tanja/Frahm, Björn</b>: Digital Seed Train Twins and
    Statistical Methods, in: <i>Herwig, Christoph/Pörtner, Ralf/Möller, Johannes (Hgg.)</i>:
    Digital Twins Tools and Concepts for Smart Biomanufacturing, Bd. 176, Berlin,
    Heidelberg 2021 (Advances in Biochemical Engineering/Biotechnology),  S. 97–131.'
  van: 'Hernández Rodriguez T, Frahm B. Digital Seed Train Twins and Statistical Methods.
    In: Herwig C, Pörtner R, Möller J, editors. Digital Twins Tools and Concepts for
    Smart Biomanufacturing. Berlin, Heidelberg: Springer; 2021. p. 97–131. (Advances
    in Biochemical Engineering/Biotechnology; vol. 176).'
date_created: 2020-08-19T07:14:11Z
date_updated: 2023-08-16T06:48:35Z
department:
- _id: DEP4021
doi: https://doi.org/10.1007/10_2020_137
editor:
- first_name: 'Christoph '
  full_name: 'Herwig, Christoph '
  last_name: Herwig
- first_name: 'Ralf '
  full_name: 'Pörtner, Ralf '
  last_name: Pörtner
- first_name: 'Johannes '
  full_name: 'Möller, Johannes '
  last_name: Möller
intvolume: '       176'
keyword:
- Bayes
- Digital twin
- Parameter estimation
- Seed train
- Uncertainty
language:
- iso: eng
page: 97–131
place: Berlin, Heidelberg
publication: Digital Twins Tools and Concepts for Smart Biomanufacturing
publication_identifier:
  eisbn:
  - 978-3-030-71660-8
  eissn:
  - 1616-8542
  isbn:
  - 978-3-030-71659-2
  issn:
  - 0724-6145
publication_status: published
publisher: Springer
quality_controlled: '1'
series_title: Advances in Biochemical Engineering/Biotechnology
status: public
title: Digital Seed Train Twins and Statistical Methods
type: book_chapter
user_id: '83781'
volume: 176
year: '2021'
...