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Raman Spectroscopy-Based Glucose Feed Control Automates Malic Acid Fermentation.

Luca Antonia Grebe1, Katharina Hürter1, Dominik Engel1

  • 1AVT.BioVT - Biochemical Engineering, RWTH Aachen University, Aachen, Germany.

Biotechnology and Bioengineering
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Summary
This summary is machine-generated.

This study introduces Raman spectroscopy for automated glucose control in malic acid fermentation. This advanced monitoring system optimizes substrate feeding, enhancing biotechnological production efficiency.

Keywords:
bioprocess automationglucose feedingmalic acidprocess analytical technologyraman spectroscopyreal‐time monitoring

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Area of Science:

  • Biotechnology and metabolic engineering
  • Process analytical technology (PAT)
  • Chemical engineering

Background:

  • Fermentation optimization is crucial for the economic viability of biotechnology.
  • Traditional substrate feeding lacks precise control, leading to limitations or inefficiencies.
  • Online monitoring is essential for real-time adjustments in bioprocesses.

Purpose of the Study:

  • To implement Raman spectroscopy for closed-loop glucose feed control during malic acid production.
  • To develop an automated feedback system for precise substrate management.
  • To optimize the production of malic acid, a valuable platform chemical.

Main Methods:

  • Utilized Raman spectroscopy for real-time online monitoring of glucose and malic acid concentrations.
  • Developed a Partial Least Squares (PLS) regression model for accurate concentration prediction.
  • Implemented a Proportional-Integral-Derivative (PID) controller for automated feedback-controlled glucose feeding.

Main Results:

  • Achieved real-time monitoring with a root mean square error of prediction of 2.7 g/L for glucose and 5.3 g/L for malic acid.
  • Maintained a constant glucose concentration of 20 g/L during the production phase via automated feedback.
  • Successfully stopped substrate feeding automatically upon monitoring product inhibition to prevent substrate loss.

Conclusions:

  • Raman spectroscopy provides a practical and effective method for real-time fermentation monitoring and control.
  • Automated feedback systems based on online monitoring significantly improve bioprocess efficiency and yield.
  • This approach demonstrates the practical relevance and feasibility of advanced PAT in industrial biotechnology.