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Related Experiment Videos

Mathematical modeling of ethanol production in solid-state fermentation based on solid medium' dry weight variation.

Davood Mazaheri1, Seyed Abbas Shojaosadati2, Seyed Morteza Zamir2

  • 1a Faculty of Engineering , Mahallat Institute of Higher Education , Mahallat , Iran.

Preparative Biochemistry & Biotechnology
|March 7, 2018
PubMed
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Mathematical modeling of ethanol production in solid-state fermentation (SSF) was achieved by tracking solid medium dry weight. This approach accurately predicted volatile ethanol formation, with the logistic model showing superior results.

Area of Science:

  • Biotechnology
  • Biochemical Engineering
  • Fermentation Technology

Background:

  • Mathematical modeling is crucial for optimizing bioprocesses.
  • Previous models focused on enzyme production, requiring adaptation for volatile compounds like ethanol.
  • Solid-state fermentation (SSF) offers advantages for producing various biomolecules.

Purpose of the Study:

  • To develop and validate a mathematical model for ethanol production in SSF.
  • To adapt existing modeling techniques for volatile product prediction.
  • To assess the efficacy of using solid medium dry weight variation for modeling.

Main Methods:

  • Mathematical modeling based on solid medium dry weight variation.
  • Utilizing Zymomonas mobilis for bioethanol production from carob pods and wheat bran in SSF.
Keywords:
Bioethanoldry weight variationmathematical modelingmicrobial kineticssolid-state fermentationvolatile product

Related Experiment Videos

  • Employing exponential and logistic kinetic models to describe microbial growth.
  • Validating model predictions against experimental bioethanol production data.

    • Main Results:

    • The mathematical model accurately predicted ethanol production during the exponential growth phase.
    • Both exponential and logistic models showed good agreement with experimental data.
    • The logistic model provided improved prediction accuracy compared to the exponential model.
    • The solid medium dry weight variation method proved effective for modeling volatile product formation in SSF.

    Conclusions:

    • Solid medium dry weight variation is a viable method for mathematical modeling of volatile product formation in SSF.
    • The logistic kinetic model offers enhanced accuracy for predicting ethanol production in this system.
    • This modeling approach can aid in optimizing bioethanol production processes.