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Lactic acid, an important organic acid extensively applied in food, pharmaceutical, and biodegradable polymer industries, is primarily produced via microbial fermentation. This method is favored over chemical synthesis due to its environmental sustainability and capacity for enantiomerically pure product formation. Among various microbial processes, the fermentation of starch-based substrates stands out due to the abundance and renewability of raw materials like corn and potatoes.Hydrolysis of...
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Microbial fermentation is central to food biotechnology, enhancing flavor, texture, preservation, and stability. Fermentative microorganisms metabolize carbohydrates into organic acids, alcohols, and other metabolites that inhibit spoilage organisms and improve digestibility while contributing distinctive sensory qualities.In baking, amylases naturally present in flour hydrolyze starch into monosaccharides such as glucose, which Saccharomyces cerevisiae ferments anaerobically. Through...
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Modeling the continuous lactic acid production process from wheat flour.

Karen Gonzalez1,2, Sihem Tebbani3, Filipa Lopes4

  • 1LGPM, CentraleSupélec, Grande Voie des Vignes, 92295, Châtenay-Malabry, France. karen.gonzalez@centralesupelec.fr.

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Summary

A new kinetic model for simultaneous saccharification, protein hydrolysis, and fermentation (SSPHF) accurately predicts lactic acid production from wheat flour. This model aids in optimizing conditions for maximum lactic acid yield.

Keywords:
Continuous process modelingLactic acid productionProduction rate maximizationWheat flour

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Area of Science:

  • Biochemical Engineering
  • Industrial Biotechnology
  • Process Modeling

Background:

  • Wheat flour is a viable substrate for lactic acid production.
  • Simultaneous saccharification, protein hydrolysis, and fermentation (SSPHF) offers an efficient bioprocess.
  • Accurate kinetic models are crucial for process optimization and scale-up.

Purpose of the Study:

  • To develop a kinetic model for the SSPHF process of lactic acid production from wheat flour.
  • To describe key process variables including bacterial growth, substrate consumption, and product formation.
  • To validate the model using experimental data and predict optimal operating conditions.

Main Methods:

  • Development of a comprehensive kinetic model incorporating bacterial growth, substrate consumption (glucose, maltose), protein hydrolysis, and lactic acid production.
  • Fitting and validation of the model against experimental data from SSPHF conducted at various dilution rates.
  • Utilizing the validated model for steady-state analysis to predict concentrations of biomass, lactic acid, glucose, and maltose.

Main Results:

  • The developed kinetic model demonstrated good agreement with experimental data from SSPHF.
  • Model predictions accurately reflected observed trends in biomass, substrate, and lactic acid concentrations.
  • Steady-state analysis provided insights into the relationship between dilution rate and key process variables.

Conclusions:

  • The kinetic model provides a robust framework for understanding and optimizing the SSPHF of lactic acid from wheat flour.
  • The model's predictive capability is valuable for determining operating conditions that maximize lactic acid productivity.
  • This research contributes to the efficient biomanufacturing of lactic acid using agricultural feedstocks.