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Related Concept Videos

Fermentation01:29

Fermentation

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Most eukaryotic organisms require oxygen to survive and function adequately. Such organisms produce large amounts of energy during aerobic respiration by metabolizing glucose and oxygen into carbon dioxide and water. However, most eukaryotes can generate some energy in the absence of oxygen by anaerobic metabolism.
Fermentation is a type of metabolic process that occurs in the absence of oxygen, where organic molecules such as glucose are broken down to produce energy. During this process, the...
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Related Experiment Video

Updated: Feb 18, 2026

Author Spotlight: Exploring the Fermentation Microbiome Through Next-Generation Sequencing
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An autosampler for fermentation

W J Page1, B Rudy

  • 1Department of Microbiology, University of Alberta, Edmonton, Canada.

Biotechniques
|February 1, 1993
PubMed
Summary
This summary is machine-generated.

An automated sampler using a peristaltic pump, interval timer, and fraction collector was developed for fermentation broth sampling. This autosampler accurately captures subtle changes in substrate consumption during fermentation, outperforming manual sampling.

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Area of Science:

  • Biotechnology
  • Fermentation Technology
  • Process Automation

Background:

  • Automated sampling is crucial for real-time monitoring of fermentation processes.
  • Manual sampling can be labor-intensive and may miss subtle dynamic changes.
  • Developing efficient and reliable sampling methods is essential for optimizing fermentation yields.

Purpose of the Study:

  • To describe the construction and operation of an automated fermentation broth sampler.
  • To evaluate the performance of the autosampler compared to manual sampling.
  • To assess the autosampler's ability to detect subtle changes in fermentation kinetics.

Main Methods:

  • Constructed an autosampler using a peristaltic pump, interval timer, and fraction collector.
  • Implemented repetitive, user-defined sample removal at set time intervals.
  • Conducted comparative analysis with manual sampling during Azotobacter vinelandii fermentation.

Main Results:

  • The autosampler demonstrated good correlation with manual sampling for substrate consumption rates with significant changes.
  • The autosampler provided superior results in detecting subtle substrate consumption changes during diauxic fermentation.
  • Consistent and user-defined sample volumes were achieved at regular intervals.

Conclusions:

  • The developed autosampler is effective for low containment fermentation monitoring.
  • Automated sampling enhances the detection of subtle kinetic variations in fermentation.
  • This technology offers an improvement over manual sampling for detailed fermentation analysis.