DocumentCode :
139995
Title :
A CMI (Cell metabolic indicator)-based controller for achieving high growth rate Escherichia coli cultures
Author :
Pepper, Matthew E. ; Li Wang ; Padmakumar, Ajay ; Burg, Timothy C. ; Harcum, Sarah W. ; Groff, Richard E.
Author_Institution :
Dept. of Electr. & Comput. Eng., Clemson Univ., Clemson, SC, USA
fYear :
2014
fDate :
26-30 Aug. 2014
Firstpage :
2911
Lastpage :
2915
Abstract :
A large fraction of biopharmaceuticals are produced in Escherichia coli, where each new product and strain currently requires a high degree of growth characterization in benchtop and industrial bioreactors to achieve economical production protocols. The capability to use a standard set of sensors to characterize a system quickly without the need to conduct numerous experiments to determine stable growth rate for the strain would significantly decrease development time. This paper presents a cell metabolic indicator (CMI) which provides better insight into the E. coli metabolism than a growth rate value. The CMI is the ratio of the oxygen uptake rate (OUR) of the culture and the base addition rate (BAR) required to keep pH at a desired setpoint. The OUR and BAR are measured using a off-gas sensor and pH probe, respectively, and thus the CMI can be computed online. Experimental results demonstrate the relationship between CMI and the different cell metabolic states. A previously published model is augmented with acid production dynamics, allowing for comparison of the CMI-based controller with an open-loop controller in simulation. The CMI-based controller required little a priori knowledge about the E. coli strain in order to achieve a high growth rate. Since many different types of cells exhibit similar behaviors, the CMI concept can be extended to mammalian and stem cells.
Keywords :
biochemistry; cellular biophysics; gas sensors; microorganisms; pH; BAR; CMI indicator-based controller; CMI-based controller; E. coli metabolism; E. coli strain; OUR; base addition rate; benchtop bioreactors; biopharmaceuticals; cell metabolic indicator-based controller; cell metabolic states; economical production protocols; high-growth rate Escherichia Coli cultures; industrial bioreactors; mammalian cells; off-gas sensor; oxygen uptake rate; pH probe; stem cells; Biochemistry; Biological system modeling; Biomass; Bioreactors; Sensors; Sugar;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Engineering in Medicine and Biology Society (EMBC), 2014 36th Annual International Conference of the IEEE
Conference_Location :
Chicago, IL
ISSN :
1557-170X
Type :
conf
DOI :
10.1109/EMBC.2014.6944232
Filename :
6944232
Link To Document :
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