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Model based soft-sensor for on-line determination of substrate.

Andréa M Salgado1, Rossana O M Folly, Belkis Valdman

  • 1Departamento de Engenharia Química, Escola de Química, Universidade Federal do Rio de Janeiro, CT-Bl E, sl 211, Rio de Janeiro, Brasil.

Applied Biochemistry and Biotechnology
|April 1, 2004
PubMed
Summary

A novel software sensor accurately monitors substrate concentration during fed-batch alcoholic fermentation. This real-time system utilizes ethanol, biomass, and feed flow signals for efficient process control.

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Area of Science:

  • Biotechnology
  • Chemical Engineering
  • Fermentation Technology

Background:

  • Fed-batch alcoholic fermentation requires precise substrate monitoring for optimal yield.
  • Existing methods for real-time substrate determination can be complex or limited in scope.

Purpose of the Study:

  • To develop and validate a software sensor for continuous on-line substrate concentration determination in fed-batch alcoholic fermentation.
  • To integrate data from ethanol, biomass, and feed flow sensors into a predictive model.

Main Methods:

  • A mathematical model of the fed-batch alcoholic fermentation process was employed.
  • On-line signals from a colorimetric biosensor (ethanol) and an optical sensor (biomass) were utilized.
  • Feed flow measurements were used to continuously calculate fermentor volume.

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Main Results:

  • The developed software sensor accurately determined substrate concentration in real-time.
  • The system demonstrated efficiency and security in monitoring the fermentation process.
  • The model proved adequate for the proposed software sensor's continuous substrate determination.

Conclusions:

  • The software sensor provides a reliable and continuous method for substrate monitoring in alcoholic fermentation.
  • This technology enhances process control and efficiency in industrial fermentation applications.
  • The integration of multiple sensor signals offers a robust approach to real-time fermentation analysis.