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On-line glucose monitoring by near infrared spectroscopy during the scale up steps of mammalian cell cultivation process development
NIR spectroscopy is a non-destructive tool for in-situ, on-line bioprocess monitoring. One of its most frequent applications is the determination of metabolites during cultivation, especially glucose. Previous studies have usually investigated the applicability of Near Infrared (NIR) spectroscopy at...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer Berlin Heidelberg
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6527534/ https://www.ncbi.nlm.nih.gov/pubmed/30806782 http://dx.doi.org/10.1007/s00449-019-02091-z |
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author | Kozma, Bence Salgó, András Gergely, Szilveszter |
author_facet | Kozma, Bence Salgó, András Gergely, Szilveszter |
author_sort | Kozma, Bence |
collection | PubMed |
description | NIR spectroscopy is a non-destructive tool for in-situ, on-line bioprocess monitoring. One of its most frequent applications is the determination of metabolites during cultivation, especially glucose. Previous studies have usually investigated the applicability of Near Infrared (NIR) spectroscopy at one bioreactor scale but the effect of scale up was not explored. In this study, the complete scale up from shake flask (1 L) through 20 L, 100 L and 1000 L up to 5000 L bioreactor volume level was monitored with on-line NIR spectroscopy. The differences between runs and scales were examined using principal component analysis. The bioreactor runs were relatively similar regardless of scales but the shake flasks differed strongly from bioreactor runs. The glucose concentration throughout five 5000 L scale bioreactor runs were predicted by partial least squares regression models that were based on pre-processed spectra of bioreactor runs and combinations of them. The model that produced the lowest error of prediction (4.18 mM on a 29 mM concentration range) for all five runs in the prediction set was based on the combination of 20 L and 100 L data. This result demonstrated the capabilities and the limitations of an NIR system for glucose monitoring in mammalian cell cultivations. |
format | Online Article Text |
id | pubmed-6527534 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | Springer Berlin Heidelberg |
record_format | MEDLINE/PubMed |
spelling | pubmed-65275342019-06-07 On-line glucose monitoring by near infrared spectroscopy during the scale up steps of mammalian cell cultivation process development Kozma, Bence Salgó, András Gergely, Szilveszter Bioprocess Biosyst Eng Research Paper NIR spectroscopy is a non-destructive tool for in-situ, on-line bioprocess monitoring. One of its most frequent applications is the determination of metabolites during cultivation, especially glucose. Previous studies have usually investigated the applicability of Near Infrared (NIR) spectroscopy at one bioreactor scale but the effect of scale up was not explored. In this study, the complete scale up from shake flask (1 L) through 20 L, 100 L and 1000 L up to 5000 L bioreactor volume level was monitored with on-line NIR spectroscopy. The differences between runs and scales were examined using principal component analysis. The bioreactor runs were relatively similar regardless of scales but the shake flasks differed strongly from bioreactor runs. The glucose concentration throughout five 5000 L scale bioreactor runs were predicted by partial least squares regression models that were based on pre-processed spectra of bioreactor runs and combinations of them. The model that produced the lowest error of prediction (4.18 mM on a 29 mM concentration range) for all five runs in the prediction set was based on the combination of 20 L and 100 L data. This result demonstrated the capabilities and the limitations of an NIR system for glucose monitoring in mammalian cell cultivations. Springer Berlin Heidelberg 2019-02-26 2019 /pmc/articles/PMC6527534/ /pubmed/30806782 http://dx.doi.org/10.1007/s00449-019-02091-z Text en © The Author(s) 2019 OpenAccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. |
spellingShingle | Research Paper Kozma, Bence Salgó, András Gergely, Szilveszter On-line glucose monitoring by near infrared spectroscopy during the scale up steps of mammalian cell cultivation process development |
title | On-line glucose monitoring by near infrared spectroscopy during the scale up steps of mammalian cell cultivation process development |
title_full | On-line glucose monitoring by near infrared spectroscopy during the scale up steps of mammalian cell cultivation process development |
title_fullStr | On-line glucose monitoring by near infrared spectroscopy during the scale up steps of mammalian cell cultivation process development |
title_full_unstemmed | On-line glucose monitoring by near infrared spectroscopy during the scale up steps of mammalian cell cultivation process development |
title_short | On-line glucose monitoring by near infrared spectroscopy during the scale up steps of mammalian cell cultivation process development |
title_sort | on-line glucose monitoring by near infrared spectroscopy during the scale up steps of mammalian cell cultivation process development |
topic | Research Paper |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6527534/ https://www.ncbi.nlm.nih.gov/pubmed/30806782 http://dx.doi.org/10.1007/s00449-019-02091-z |
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