• H.I. Velázquez-Sánchez Centro de Investigación y Estudios Avanzados del Instituto Politécnico Nacional
  • M.C. Montes-Horcasitas Centro de Investigación y Estudios Avanzados del Instituto Politécnico Nacional
  • R. Aguilar-López Centro de Investigación y Estudios Avanzados del Instituto Politécnico Nacional
Keywords: modeling, biofuels, Clostridium, butanol, phenomenological


At the present work the construction of an unstructured kinetic model guided by a phenomenological perspective was carried out to reproduce and simulate experiments regarding butanol production by Clostridium beijerinckii considering the ABE metabolic pathway reported for this genre as a biochemical basis for it. Fit and parametric sensitivity analyzes were performed to ensure the model could reproduce experimental kinetics at an overall correlation coefficient of 0.9882 and determined its high sensitivity thereof to the determination of the specific cell growth and death rates (µmaxX and kd) butanol production (µmaxBut) and biomass / substrate yield calculation (YX/S g). Finally, in silico batch analyzes were conducted at 60, 100, 150 and 200 g / L of initial glucose concentration values obtaining final butanol titers of 12.97, 13.95, 14.2 and 14.3 g / L respectively, which are consistent with the reported in the literature for in vitro experiments.


Chen, Y., Zhou, T., Liu, D., Li, An., Xu, S., Liu, Q., Li, B. and Ying, H. (2013). Production of Butanol from Glucose and Xylose with Immobilized Cells of Clostridium acetobutylicum. Biotechnology and Bioprocess Engineering 18, 234-241.

Chong, W. (2010). Acetone-Butanol-Ethanol Fermentation by Engineered Clostridium beijerinckii and Clostridium tyrobutyricum. Food Science and Technology PhD Thesis, Ohio State University, USA.

Ezeji, T., Qureshi, N. and Blaschek, H. P. (2007). Butanol Production From Agricultural Residues: Impact of Degradation Products on Clostridium beijerinckii Growth and Butanol Fermentation. Biotechnology and Bioengineering 97-6, 1460-1469.

Gottwald, M. and Gottschalk, G. (1985). The Internal pH of Clostridium acetobutylicum and its Effect on the Shift from Acid to Solvent Formation. Archives of Microbiology 143, 42- 46.

Grosfils, A., Wouwer, A. V. and Bogaerts, P. (2007). On a general model structure for macroscopic biological reaction rates. Journal of Biotechnology 130, 253-264.

Gunawan, R., Cao, Y., Petzold, L. and Doyle, F J. (2005). Sensitivity Analysis of Discrete Stochastic Systems. Biophysical Journal 88, 2530-2540.

Haus, S., Jabbari, S., Millat, T., Janssen, H., Fischer, R-J., Bahl, H., King, J. R. and Wolkenhauer, O. (2011). A systems biology approach to investigate the effect of pH-induced gene regulation on solvent production by Clostridium acetobutylicum in continuous culture. BMC Systems Biology 5, 5-10.

Lee, S. Y., Park, J. H., Jang, S. H., Nielsen, L. K., Kim, J. and Jung, K. S. (2008). Fermentative Butanol Production by Clostridia. Biotechnology and Bioengineering 101- 2, 209- 228.

Letisse, F., Lindley, N.D. and Roux, G. (2003). Development of a Phenomenological Modeling Approach for Prediction of Growth and Xanthan Gum Production Using Xanthomonas campestris. Biotechnology Progress 19, 822- 827.

Levenspiel, O. (1980). The Monod Equation: A Revisit and a Generalization to Product Inhibition Situations. Biotechnology and Bioengineering 22-8, 1671-1687.

Mayank, R., Ranjan, A., and Moholkar, V. S. (2012). Mathematical models of ABE fermentation: review and analysis. Critical Reviews in Biotechnology, 1-29.

Qureshi, N., Ezeji, T.C., Ebener, J., Dien, B.S., Cotta, M.A. and Blaschek, H.P. (2008). Butanol production by Clostridium beijerinckii. Part I. Use of acid and enzyme hydrolyzed corn fiber.

Bioresources Technology 99, 5915-5922.

Qureshi, N., Saha, B.C., J. and Cotta, M.A. (2007). Butanol production from wheat stray hydrolysate using Clostridium beijerinckii. Bioprocess Biosystems Engineering 30, 419- 427.

Sweere, A. P. J., Giesselbach, J. R., Barendse, de Krieger, R., Honderd, G. and Luyben, K. C. A. M. (1988). Modelling the dynamic behaviour of Saccharomyces cerevisiae and its application in control experiments. Applied Microbiology and Biotechnology 28, 116-127.

Tejada, A. (2007). Estadística para ciencias sociales, del comportamiento y de la salud. 3a Edición, CENGAGE Learning, Mexico.
How to Cite
Velázquez-Sánchez, H., Montes-Horcasitas, M., & Aguilar-López, R. (2020). DEVELOPMENT OF A PHENOMENOLOGICAL KINETIC MODEL FOR BUTANOL PRODUCTION USING Clostridium beijerinckii. Revista Mexicana De Ingeniería Química, 13(1), 103-112. Retrieved from