2018
DOI: 10.1002/jctb.5696
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Hybrid fed‐batch bioreactor operation design: control of substrate uptake enhances recombinant protein production in high‐cell‐density fermentations

Abstract: BACKGROUND The hybrid fed‐batch bioreactor (HFBB) operation is a novel design method for high‐cell‐density fermentations. It employs fed‐batch and batch operations, starting with fed‐batch that in turn shifts to the next, and proceeds in successive cycles to enhance production and productivity by controlling the substrate uptake rate. RESULTS The method was tested for the production of recombinant human growth hormone (rhGH) in Pichia pastoris under GAP promoter with carbon sources of (i) glucose and (ii) pre… Show more

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Cited by 9 publications
(6 citation statements)
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“…Additionally, the application of different types of cell stress has been demonstrated to have a significant positive effect on RPP, so the established process strategies can be remarkably improved (García-Ortega et al, 2019;Chen et al, 2021). Some examples are the application of substrate starving periods (Garcia-Ortega et al, 2016;Çalık et al, 2018) and the implementation of oxygen limiting conditions (Baumann et al, 2008), which have shown a positive effect on RPP under P GAP regulation.…”
Section: Introductionmentioning
confidence: 99%
“…Additionally, the application of different types of cell stress has been demonstrated to have a significant positive effect on RPP, so the established process strategies can be remarkably improved (García-Ortega et al, 2019;Chen et al, 2021). Some examples are the application of substrate starving periods (Garcia-Ortega et al, 2016;Çalık et al, 2018) and the implementation of oxygen limiting conditions (Baumann et al, 2008), which have shown a positive effect on RPP under P GAP regulation.…”
Section: Introductionmentioning
confidence: 99%
“…By applying the proposed feedback feeding control system based on RNN, the efficiency of already established large‐scale production plants producing HBsAg in methylotrophic yeasts could be enhanced without considerable time and money investment. In general, this tool can be combined with other feeding strategies and other fed‐batch designs, especially novel and more complicated ones, to reduce any unexpected deviations in key parameters . The combination of mathematical models with computational models, based on machine learning, in the future, could significantly reduce the costs and time related to bioprocess development and scale‐up by decreasing the number of experimental investigations.…”
Section: Discussionmentioning
confidence: 99%
“…In general, this tool can be combined with other feeding strategies and other fed-batch designs, especially novel and more complicated ones, to reduce any unexpected deviations in key parameters. 11,21,36 The combination of mathematical models with computational models, based on machine learning, in the future, could significantly reduce the costs and time related to bioprocess development and scale-up by decreasing the number of experimental investigations.…”
Section: Discussionmentioning
confidence: 99%
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