A supervision and control tool based on artificial intelligence for high cell density cultivations
| Autor: | M. C. Gonzaga, Roberto C. Giordano, A. M. Velez, Antonio Carlos Luperni Horta, Cintia Regina Sargo, Teresa Cristina Zangirolami, Adilson José da Silva, Viviane Maimoni Gonçalves |
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| Rok vydání: | 2014 |
| Předmět: |
Artificial intelligence
Oxygen supply Automatic control business.industry Fed-batch General Chemical Engineering lcsh:TP155-156 chemistry.chemical_element Biomass Monitoring and control system High cell Oxygen Biotechnology Recombinant E. coli chemistry Oxygen delivery Environmental science lcsh:Chemical engineering High cell density cultivations Process engineering business |
| Zdroj: | Brazilian Journal of Chemical Engineering v.31 n.2 2014 Brazilian Journal of Chemical Engineering Associação Brasileira de Engenharia Química (ABEQ) instacron:ABEQ Brazilian Journal of Chemical Engineering, Vol 31, Iss 2, Pp 457-468 (2014) Brazilian Journal of Chemical Engineering, Volume: 31, Issue: 2, Pages: 457-468, Published: JUN 2014 |
| ISSN: | 0104-6632 |
| DOI: | 10.1590/0104-6632.20140312s00002304 |
| Popis: | High cell density cultivations of recombinant E. coli have been increasingly used for the production of heterologous proteins. However, it is a challenge to maintain these cultivations within the desired condi- tions, given that some variables such as dissolved oxygen concentration (DOC) and feed flow rate are difficult to control. This paper describes the software SUPERSYS_HCDC, a tool developed to supervise fed-batch cultures of rE. coli with biomass concentrations up to 150 gDCW/L and cell productivities up to 9 gDCW.L -1 .h -1 . The tool includes automatic control of the DOC by integrated action of the stirrer speed as well as of the air and oxygen flow rates; automatic start-up of the feed flow of fresh medium (system based on a neural network committee); and automatic slowdown of feeding when oxygen consumption exceeds the maximum capacity of the oxygen supply. |
| Databáze: | OpenAIRE |
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