Skip to main content
SpringerLink
Log in

Mathematical modelling of ethanol production from glucose/xylose mixtures by recombinant Zymomonas mobilis

  • Published:
Biotechnology Letters Aims and scope Submit manuscript

Abstract

A model has been developed for the fermentation of mixtures of glucose and xylose by recombinant Zymomonas mobilis strain ZM4(pZB5), containing additional genes for xylose assimilation and metabolism. A two-substrate model based on substrate limitation, substrate inhibition, and product (ethanol) inhibition was evaluated, and experimental data was compared with model simulations using a Microsoft EXCEL based program and methods of statistical analysis for error minimization. From the results it was established that the model provides good predictions of experimental batch culture data for 25/25, 50/50, and 65/65 g l−1 glucose/xylose media.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Log in via an institution

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Institutional subscriptions

Similar content being viewed by others

References

  • Bates DM, Watts DG (1988) Nonlinear Regression Analysis and its Applications. New York: J. Wiley, 123 pp.

    Google Scholar 

  • DiMarco A, Romano A (1985) Appl. Env. Microbiol. 49: 151-157.

    Google Scholar 

  • Draper NR, Smith H (1981) In: Applied Regression Analysis, 2nd edn. New York: J. Wiley, pp. 458-529.

    Google Scholar 

  • Gadgil CJ, Bhat PJ, Venkatesh KV (1996) Biotechnol. Prog. 12: 744-750.

    Google Scholar 

  • Garro OA, Rodriguez E, Unda RP, Callieri DAS (1995) J. Chem. Technol. Biotechnol. 63: 367-373.

    Google Scholar 

  • Ho NWY, Toon S, Chen ZD, Brainard A, Lumpkin RE, Riley CJ, Philippidis GP (1996) 18th Symposium on Biotechnology for Fuels and Chemicals, Gatlinburg, TN, May 5–9, 1996.

  • Joachimsthal EL, Rogers PL (2000) Appl. Biochem. Biotechnol. 84–86: 343-356.

    Google Scholar 

  • Joachimsthal EL, Haggett KD, Rogers PL (1999) Appl. Biochem. Biotechnol. 77–79: 147-157.

    Google Scholar 

  • Krishnan MS, Blanco M, Shattuck CK, Ngheim NP, Davidson BH (2000) Appl. Biochem. Biotechnol. 84–86: 525-541.

    Google Scholar 

  • Krishnan MS, Ho NWWY, Tsao GT (1999) Appl. Biochem. Biotechnol. 77–79: 373-388.

    Google Scholar 

  • Laplace JM, Delgenes JP, Moletta R, Navarro JM (1995) Appl. Microbiol. Biotechnol. 36: 158-162.

    Google Scholar 

  • Lawford HG, Rousseau JD (1999) Appl. Biochem. Biotechnol. 77–79: 235-249.

    Google Scholar 

  • Lawford HG, Rousseau JD (2000) Appl. Biochem. Biotechnol. 84–86: 277-293.

    Google Scholar 

  • Lawford HG, Rousseau JD, Tolan JS (2000) 22nd Symposium on Biotechnology for Fuels and Chemicals, Gatlinburg, TN, May 7–11, 2000.

  • Lee KJ, Rogers PL (1983) Chem. Eng. J. 27: B31-B38.

    Google Scholar 

  • Lee Y-S, Lee WG, Chang YK (1995) Biotechnol. Lett. 17: 791-796.

    Google Scholar 

  • Lee W-C, Huang C-T (2000) Biochem. Eng. J. 4: 217-227.

    Google Scholar 

  • Monod J (1941) Recherches sur la Croissance Bacteriennes. Paris: Masson.

    Google Scholar 

  • Myers RH (1990) Classical and Modern Regression with Applications, 2nd edn. California: Duxbury Press.

    Google Scholar 

  • Nipkow A, Sonnleitner B, Fiechter A (1986) J. Microbiol. 4: 35-47.

    Google Scholar 

  • Olsson L, Hahn-Hägerdal B, Zacchi G (1995) Biotechnol. Bioeng. 45: 356-365.

    Google Scholar 

  • Parker C, Barnell W, Snoep J, Ingram L, Conway T (1995) Mol. Microbiol. 15: 795-802.

    Google Scholar 

  • Ratkowsky DA (1990) Handbook of Nonlinear Regression Models. New York: Marcel Dekker.

    Google Scholar 

  • Turner BS, Ramkrishna D, Jansen NB (1988) Biotechnol. Bioeng. 32: 46-54.

    Google Scholar 

  • Veermallu U, Agrawal P (1990) Biotechnol. Bioeng. 36: 694-704.

    Google Scholar 

  • Weisser P, Krämer R, Sahm H, Sprenger GA (1995) J. Bacteriol. 177: 3351-3354.

    Google Scholar 

  • Weisser P, Krämer R, Sprenger GA (1996) Appl. Environ. Microbiol. 62: 4155-4161.

    Google Scholar 

  • Zhang M, Eddy C, Deanda K, Finkelstein M, Picataggio S (1995) Science 267: 240-243.

    Google Scholar 

Download references

Author information

Authors and Affiliations

  1. Department of Biotechnology, University of New South Wales, Sydney, NSW, 2052, Australia

    Noppol Leksawasdi, Eva L. Joachimsthal & Peter L. Rogers

Authors
  1. Noppol Leksawasdi
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Eva L. Joachimsthal
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Peter L. Rogers
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Peter L. Rogers.

Rights and permissions

Reprints and permissions

About this article

Cite this article

Leksawasdi, N., Joachimsthal, E.L. & Rogers, P.L. Mathematical modelling of ethanol production from glucose/xylose mixtures by recombinant Zymomonas mobilis. Biotechnology Letters 23, 1087–1093 (2001). https://doi.org/10.1023/A:1010599530577

Download citation

  • Issue Date:

  • DOI: https://doi.org/10.1023/A:1010599530577

Search

Navigation