ON-LINE ANALYSIS AND MODELING OF MICROBIAL GROWTH USING A HYBRID SYSTEM APPROACH

Abstract An on-line estimator based on the biomass concentration was developed for detecting and quantifying the growth phases encountered in batch cultures. The bioprocess is considered to be a hybrid system. Its evolution is characterized by different successive phases, each of them being described by a specific model of the growth dynamics. For each new biomass concentration value, the estimator selects the most appropriate model in terms of growth simulation from time of inoculation and estimates the corresponding kinetics parameters. This estimator generates a smooth growth rate trend, thus facilitating its on-line monitoring. The detection of the transitions between phases favours the discovery of possible factors affecting the growth. Finally, the duration of the respective phases, along with the kinetic parameters of the model selected at the last measurement summarize microbial growth and allow comparison between different batches experiments. A culture of recombinant Escherichia coli in a 2.5 l bioreactor, with its biomass concentration assessed every 20 min. is described as an example. The transitions between growth phases are well detected and the simulations generated by the successive estimated models accurately reflect the experimental data.

[1]  Martin R. Okos,et al.  Kinetic model of growth and lactic acid production from lactose by Lactobacillus bulgaricus , 1993 .

[2]  D. Ollis,et al.  Kinetics of batch fermentations with Kluyveromyces fragilis , 1988 .

[3]  C. Curless,et al.  Chemostat study of kinetics of human lymphokine synthesis in recombinant Escherichia coli. , 1989, Biotechnology and bioengineering.

[4]  C. Diaz,et al.  Adaptive predictive control of dissolved oxygen concentration in a laboratory-scale bioreactor. , 1995, Journal of biotechnology.

[5]  Richard M. Felder,et al.  Kinetics and Modeling of Lactic Acid Production by Lactobacillus plantarum , 1994, Applied and environmental microbiology.

[6]  Shih-Yow Huang,et al.  Analysis of the kinetics of ethanol fermentation with Zymomonas mobilis considering temperature effect , 1988 .

[7]  H. Ohrem,et al.  Process model of the oxidation of glycerol with Gluconobacter oxydans , 1996 .

[8]  Shangtian Yang,et al.  Kinetics and modeling of temperature effects on batch xanthan gum fermentation , 1991, Biotechnology and bioengineering.

[9]  Denis Dochain,et al.  On-line estimation of microbial specific growth rates , 1986, Autom..

[10]  P. Dhurjati,et al.  Growth kinetics of Eschericia coli containing temperature‐sensitive plasmid pOU140 , 1987, Biotechnology and bioengineering.

[11]  R. M. Ben-Hassan,et al.  Kinetics of batch production of single-cell protein from cheese whey , 1995 .

[12]  S Shioya,et al.  An algorithmic approach to constructing the on‐line estimation system for the specific growth rate , 1989, Biotechnology and bioengineering.

[13]  Ashok Mulchandani,et al.  Microbial inhibition kinetics revisited , 1989 .

[14]  G. Kretzmer,et al.  Influence of the medium composition and plasmid combination on the growth of recombinant Escherichia coli JM109 and on the production of the fusion protein EcoRI::SPA. , 1997, Journal of biotechnology.

[15]  Tor Arne Johansen,et al.  Identification of non-linear system structure and parameters using regime decomposition , 1995, Autom..

[16]  V. Santos,et al.  Lactic acid from wood , 1996 .

[17]  Peter J.T. Verheijen,et al.  Modelling and simulation of the operation of an industrial batch plant using gPROMS , 1995 .

[18]  R. Korus,et al.  Kinetics of Peroxidase Production by Streptomyces viridosporus and Recombinant Streptomyces lividans , 1991 .

[19]  J. Luong.  Kinetics of ethanol inhibition in alcohol fermentation , 1985, Biotechnology and bioengineering.

[20]  Anthony J. Sinskey,et al.  Mathematical descriptions of hybridoma culture kinetics. III. Simulation of fed-batch bioreactors , 1989 .

[21]  M. Kishimoto,et al.  On-line measurement of cell mass and specific growth rate by a laser turbidity meter coupled with data smoothing using a one-pass method , 1994 .

[22]  C. W. Robinson,et al.  Kinetics of the simultaneous batch degradation of p-cresol and phenol by Pseudomonas putida , 1988, Applied Microbiology and Biotechnology.

[23]  J. Guest,et al.  Metabolic engineering in Escherichia coli: lowering the lipoyl domain content of the pyruvate dehydrogenase complex adversely affects the growth rate and yield. , 1995, Microbiology.

[24]  J H Luong,et al.  Generalization of monod kinetics for analysis of growth data with substrate inhibition , 1987, Biotechnology and bioengineering.

[25]  J. Almeida,et al.  Concomitant substrate and product inhibition kinetics in lactic acid production , 1991 .

[26]  A. Hortaçsu,et al.  The effect of glucose concentration on the growth rate and some intracellular components of a recombinant E. coli culture , 1995 .

[27]  Toshiomi Yoshida,et al.  On-Line Monitoring of Representative Structural Variables in Fed-Batch Cultivation of Recombinant Escherichia coli for Phenylalanine Production , 1990 .

[28]  S. J. Parulekar,et al.  An alternate method for estimation of cell growth kinetics from batch cultures , 1991, Biotechnology and bioengineering.

[29]  A. Mulchandani,et al.  Kinetics of biopolymer synthesis: A revisit , 1988 .