Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Experiment Videos

Control of fed-batch fermentations.

J Lee1, S Y Lee, S Park

  • 1Department of Chemical Engineering, Korea Advanced Institute of Science and Technology, 373-1 Kusong-dong, Yusong-gu, Taejon 305-701, South Korea.

Biotechnology Advances
|October 11, 2003
PubMed
Summary
This summary is machine-generated.

Related Concept Videos

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Selective precipitation of DNA by spermine during the chemical extraction of insoluble cytoplasmic protein.

Biotechnology progress·2001
Same author

Direct chemical extraction of a recombinant viral coat protein from Escherichia coli at high cell density.

Biotechnology and bioengineering·2001
Same author

Measuring the interaction forces between protein inclusion bodies and an air bubble using an atomic force microscope.

Biotechnology progress·2001
Same author

Physicochemical characteristics of LR3-IGF1 protein inclusion bodies: electrophoretic mobility studies.

Biotechnology progress·2001
Same author

Metabolic and kinetic analysis of poly(3-hydroxybutyrate) production by recombinant Escherichia coli.

Biotechnology and bioengineering·2001
Same author

The mechanical properties of Saccharomyces cerevisiae.

Proceedings of the National Academy of Sciences of the United States of America·2000
Same journal

Advancing synthetic biology with engineered chemically inducible gene regulatory systems.

Biotechnology advances·2026
Same journal

Technology-driven revolution in CO<sub>2</sub> fixation: From natural pathways to programmable Biosystems.

Biotechnology advances·2026
Same journal

Enzymes for CO<sub>2</sub> fixation: Discovery, engineering, and applications.

Biotechnology advances·2026
Same journal

Technological advances in extrachromosomal circular DNA detection.

Biotechnology advances·2026
Same journal

Codon compression and novel codon creation for multiplex non-canonical amino acid incorporation.

Biotechnology advances·2026
Same journal

Toward next-generation biosurfactants: Engineering rhamnolipid production from safe chassis design to scalable bioprocessing.

Biotechnology advances·2026
See all related articles

Fed-batch fermentation controls nutrient supply to prevent growth inhibition. Advanced control methods, including fuzzy logic and neural networks, show promise for optimizing complex fermentation systems.

Area of Science:

  • Biotechnology
  • Chemical Engineering
  • Process Control

Background:

  • Fed-batch fermentation is a key bioprocess strategy to mitigate substrate-associated growth inhibition.
  • Controlling nutrient supply is crucial for managing microbial growth and productivity in fed-batch systems.

Purpose of the Study:

  • To review recent advancements in the control strategies for fed-batch fermentations.
  • To compare traditional feeding methods with emerging advanced control techniques.

Main Methods:

  • Review of existing literature on fed-batch fermentation control.
  • Examination of simple exponential feeding and inferential control methods.
  • Analysis of advanced control approaches, including fuzzy logic and neural networks.

Related Experiment Videos

Main Results:

  • Simple exponential feeding and inferential methods are established techniques.
  • Fuzzy control and neural networks represent newer, promising approaches.
  • Advanced methods offer potential for optimizing complex fermentation processes.

Conclusions:

  • Advanced control strategies like fuzzy logic and neural networks are gaining traction in fed-batch fermentation.
  • These methods hold significant potential for enhancing the efficiency and outcomes of complex bioprocesses.
  • Continued research into advanced control is vital for optimizing fed-batch fermentation technology.