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A dynamic mathematical model of the chemostat
Author(s) -
Young T. B.,
Bruley D. F.,
Bungay H. R.
Publication year - 1970
Publication title -
biotechnology and bioengineering
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.136
H-Index - 189
eISSN - 1097-0290
pISSN - 0006-3592
DOI - 10.1002/bit.260120506
Subject(s) - chemostat , steady state (chemistry) , hysteresis , substrate (aquarium) , lag , limiting , dilution , thermodynamics , biological system , control theory (sociology) , dynamic equation , mechanics , chemistry , biochemical engineering , physics , computer science , biology , ecology , engineering , nonlinear system , mechanical engineering , computer network , genetics , control (management) , quantum mechanics , artificial intelligence , bacteria
A number of experimental studies on the dynamic, behavior of the chemostat have shown that the specific growth rate does not, instantaneously adjust to changes in the concentration of limiting substrate in the chemostat following disturbances in the steady state input limiting substrate concentration or in the steady state dilution rate. Instead of an instantaneous response, as would be predicted by the Monod equation, experimental studies have shown that the specific growth rate experiences a dynamic lag in responding to the changes in the concentration of limiting substrate in the culture vessel. The observed dynamic lag has been recognized by researchers in such terms as an inertial phenomenon and as a hysteresis effect , but as yet a systems engineering approach has not been applied to the observed data. The present paper criticizes the use of the Monod equation as a dynamic relationship and offers as an alternative a dynamic equation relating specific growth rate to the limiting substrate concentration in the chemostat. Following the development of equations, experimental methods of evaluating parameters are discussed. Dynamic responses of analog simulations (incorporating the newly derived equations) are compared with the dynamic responses predicted by the Monod equation and with the dynamic responses of experimental chemostats.