scholarly journals Preventing Overflow Metabolism in Crabtree-Positive Microorganisms through On-Line Monitoring and Control of Fed-Batch Fermentations

Fermentation ◽  
2018 ◽  
Vol 4 (3) ◽  
pp. 79 ◽  
Author(s):  
Loïc Habegger ◽  
Kelly Rodrigues Crespo ◽  
Michal Dabros

At specific growth rates above a particular critical value, Crabtree-positive microorganisms exceed their respiratory capacity and enter diauxic growth metabolism. Excess substrate is converted reductively to an overflow metabolite, resulting in decreased biomass yield and productivity. To prevent this scenario, the cells can be cultivated in a fed-batch mode at a growth rate maintained below the critical value, µcrit. This approach entails two major challenges: accurately estimating the current specific growth rate and controlling it successfully over the course of the fermentation. In this work, the specific growth rate of S. cerevisiae and E. coli was estimated from enhanced on-line biomass concentration measurements obtained with dielectric spectroscopy and turbidity. A feedforward-feedback control scheme was implemented to maintain the specific growth rate at a setpoint below µcrit, while on-line FTIR measurements provided the early detection of the overflow metabolites. The proposed approach is in line with the principles of Bioprocess Analytical Technology (BioPAT), and provides a means to increase the productivity of Crabtree-positive microorganisms.

2001 ◽  
Vol 9 (3) ◽  
pp. 221-231 ◽  
Author(s):  
Zairossani M. Nor ◽  
Melih I. Tamer ◽  
Jeno M. Scharer ◽  
Murray Moo-Young ◽  
Eric J. Jervis

Processes ◽  
2020 ◽  
Vol 8 (6) ◽  
pp. 679 ◽  
Author(s):  
Yann Brignoli ◽  
Brian Freeland ◽  
David Cunningham ◽  
Michal Dabros

Accurate control of the specific growth rate (µ) of microorganisms is dependent on the ability to quantify the evolution of biomass reliably in real time. Biomass concentration can be monitored online using various tools and methods, but the obtained signal is often very noisy and unstable, leading to inaccuracies in the estimation of μ. Furthermore, controlling the growth rate is challenging as the process evolves nonlinearly and is subject to unpredictable disturbances originating from the culture’s metabolism. In this work, a novel feedforward-feedback controller logic is presented to counter the problem of noise and oscillations in the control variable and to address the exponential growth dynamics more effectively. The controller was tested on fed-batch cultures of Kluyveromyces marxianus, during which μ was estimated in real time from online biomass concentration measurements obtained with dielectric spectroscopy. It is shown that the specific growth rate can be maintained at different setpoint values with an average root mean square control error of 23 ± 6%.


2001 ◽  
Vol 75 (3) ◽  
pp. 355-361 ◽  
Author(s):  
Niels Thomas Eriksen ◽  
Irina Kratchmarova ◽  
S�ren Neve ◽  
Karsten Kristiansen ◽  
Jens J�rgen L�nsmann Iversen

2010 ◽  
Vol 45 (8) ◽  
pp. 1334-1341 ◽  
Author(s):  
Juan-Miguel Puertas ◽  
Jordi Ruiz ◽  
Mónica Rodríguez de la Vega ◽  
Julia Lorenzo ◽  
Glòria Caminal ◽  
...  

1989 ◽  
Vol 33 (3) ◽  
pp. 354-364 ◽  
Author(s):  
Hiroshi Shimizu ◽  
Takeichiro Takamatsu ◽  
Suteaki Shioya ◽  
Ken-Ichi Suga

1989 ◽  
Vol 33 (1) ◽  
pp. 115-125 ◽  
Author(s):  
Pramod Agrawal ◽  
George Koshy ◽  
Michael Ramseier

1993 ◽  
Vol 26 (2) ◽  
pp. 185-188
Author(s):  
M. Keulers ◽  
L. Ariaans ◽  
M. Giuseppin ◽  
R. Soeterboek

Sign in / Sign up

Export Citation Format

Share Document