Kinetic studies of ethanol fermentation using Kluyveromyces sp. IIPE453

Abstract

Background To operate the fermentation process effectively and efficiently, the kinetic modeling of cell growth and ethanol fermentation is necessary to predict the results of industrial fermentations under the optimized conditions. Results A kinetic study was conducted for glucose utilization for growth of the yeast strain Kluyveromyces sp. IIPE453 and ethanol formation. Effect of temperature, pH and initial glucose concentration on cell growth and ethanol formation was studied. The data obtained experimentally were validated with existing kinetic models for product and/or substrate inhibition. Conclusion Of all the models, the Aiba model for substrate inhibition was found to be the best fit to the experimental data for the growth of Kluyveromyces sp. IIPE453, and the Luong model for product inhibition was found to be the best fit for ethanol formation using Kluyveromyces sp. IIPE453. © 2013 Society of Chemical Industry

Identifyability measures to select the parameters to be estimated in a solid‐state fermentation distributed parameter model

“…However, the substrate inhibition hypothesis has resulted in smaller residuals; therefore, more precision was obtained with this model. Furthermore, the yield coefficient value is a little different from the ones found in literature, though with different yields the model would not describe with accuracy the state variables. It shall be highlighted that these results are suitable for this solid‐state fermentation process using this Kluyveromyces marxianus strain.…”

“…5, is, also, implicitly a function of time and bioreactor length. Equations (9)(10)(11)(12) are intimately linked with the cells growth kinetics, since all of them-substrate consumption (total reducing sugar-TRS), S, and production of ethanol, P, carbon dioxide, CO 2 , and oxygen, O 2 ,-are dependent on the Eq. 5, considering its respective conversion rate.…”

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“…Yeast growth is commonly described by the Verhulst–Pearl equation (i.e., the logistic equation) as follows : Finally, the cell growth function can be derived as follows: …”

Bioprospecting thermophilic/thermotolerant microbes for production of lignocellulosic ethanol: A future perspective

“…The ethanol productivities upon mixture of bagasse hydrolysate with sugarcane juice, molasses and extract of mahua flowers were 1.7, 1.75 and 2.57 g l À 1 h À 1 , respectively [63]. The optimum temperature, pH and initial glucose concentration were 50 1C, 5.0 and 10 g l À 1 , respectively for growth and same temperature and pH 5.0 except glucose tolerance upto 300 g l À 1 for ethanol fermentation [64].…”

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