Umeå University's logo

umu.sePublications
Change search
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf
Feasibility and performance of cross-clone Raman calibration models in CHO cultivation
Umeå University, Faculty of Science and Technology, Department of Chemistry. Sartorius Stedim Biotech GmbH, Göttingen, Germany.
Sartorius Stedim Biotech GmbH, Göttingen, Germany.
Sartorius Stedim Biotech GmbH, Göttingen, Germany.
Sartorius Stedim UK Ltd., Epsom, United Kingdom.
Show others and affiliations
2024 (English)In: Biotechnology Journal, ISSN 1860-6768, E-ISSN 1860-7314, Vol. 19, no 1, article id 2300289Article in journal (Refereed) Published
Abstract [en]

Raman spectroscopy is widely used in monitoring and controlling cell cultivations for biopharmaceutical drug manufacturing. However, its implementation for culture monitoring in the cell line development stage has received little attention. Therefore, the impact of clonal differences, such as productivity and growth, on the prediction accuracy and transferability of Raman calibration models is not yet well described. Raman OPLS models were developed for predicting titer, glucose and lactate using eleven CHO clones from a single cell line. These clones exhibited diverse productivity and growth rates. The calibration models were evaluated for clone-related biases using clone-wise linear regression analysis on cross validated predictions. The results revealed that clonal differences did not affect the prediction of glucose and lactate, but titer models showed a significant clone-related bias, which remained even after applying variable selection methods. The bias was associated with clonal productivity and lead to increased prediction errors when titer models were transferred to cultivations with productivity levels outside the range of their training data. The findings demonstrate the feasibility of Raman-based monitoring of glucose and lactate in cell line development with high accuracy. However, accurate titer prediction requires careful consideration of clonal characteristics during model development.

Place, publisher, year, edition, pages
John Wiley & Sons, 2024. Vol. 19, no 1, article id 2300289
Keywords [en]
bioprocess development, bioprocess engineering, bioprocess monitoring, CHO cells
National Category
Analytical Chemistry
Identifiers
URN: urn:nbn:se:umu:diva-218135DOI: 10.1002/biot.202300289PubMedID: 38015079Scopus ID: 2-s2.0-85178957570OAI: oai:DiVA.org:umu-218135DiVA, id: diva2:1820417
Available from: 2023-12-18 Created: 2023-12-18 Last updated: 2024-04-30Bibliographically approved

Open Access in DiVA

fulltext(1919 kB)532 downloads
File information
File name FULLTEXT02.pdfFile size 1919 kBChecksum SHA-512
36ff8b7b36ffa6304d38a3bb76f9a0aa5f5d379a26b8b791bf6287f0a163a1a900e79a4c111670dbde050285fc2cd70e96bfedca7ba61f9663a06e2728a48f77
Type fulltextMimetype application/pdf

Other links

Publisher's full textPubMedScopus

Authority records

Machleid, RafaelNilsson, DavidTrygg, Johan

Search in DiVA

By author/editor
Machleid, RafaelNilsson, DavidTrygg, Johan
By organisation
Department of Chemistry
In the same journal
Biotechnology Journal
Analytical Chemistry

Search outside of DiVA

GoogleGoogle Scholar
Total: 589 downloads
The number of downloads is the sum of all downloads of full texts. It may include eg previous versions that are now no longer available

doi
pubmed
urn-nbn

Altmetric score

doi
pubmed
urn-nbn
Total: 692 hits
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf