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Experimental simulation of glucose fluctuations

The influence of continually changing glucose concentrations on the fed-batch baker's yeast production

  • Biotechnology
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Summary

In large-scale bioreactors inadequate mixing may impose a continually changing environment to a microbial culture. How the culture will response to such conditions can be studied by means of well designed laboratory-scale experiments. In a two-fermentor-system the influence of continually changing glucose concentrations on the fed-batch baker's yeast production was investigated. Experiments were carried out at different circulation rates and different ratios of the fermentor volumes. The imperfect mixing of the system caused a reduction of the biomass yield and an increase in the ethanol formation. Acetic acid and glyerol were produced as well, but no clear relationship between the circulation rate and the amount of metabolites formed could be observed. The difference in performance of the culture in both fermentors was exposed clearly by the respiration quotient and the (maximum) specific oxygen consumption rate.

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Abbreviations

C i :

concentration (kg/m3)

DOT:

dissolved-oxygen tension (% air saturation)

F cir :

circulation flow (m3/s)

F s :

substrate flow to the fermentor (m3/s)

K i :

saturation constant (kg/m3)

m s :

maintenance coefficient (kg/(kg DW·h))

Q max :

(maximum) specific consumption (kg/(kg DW·h)) or production rate

RQ :

respiration quotient (mol CO2/mol O2)

TFS:

two-fermentor-system

t :

time (s)

t cir :

circulation time (s)

V :

volume (m3)

Y ij :

yield of componentj oni (kg/kg)

μ:

specific growth rate (h-1)

τ:

residence time

τ:

gas flow rate (m3/h)

0:

value att=0

1:

smallest, uppermost fermentor

2:

biggest, lowest fermentor

e :

ethanol

f :

feed concentration

i :

componenti

j :

componentj

lim:

oxidation capacity

O:

O2, oxygen

s :

substrate, glucose

x :

biomass

ox:

oxidation

References

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Sweere, A.P.J., Matla, Y.A., Zandvliet, J. et al. Experimental simulation of glucose fluctuations. Appl Microbiol Biotechnol 28, 109–115 (1988). https://doi.org/10.1007/BF00694297

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  • DOI: https://doi.org/10.1007/BF00694297

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