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Control systems are everywhere in contemporary society, influencing diverse applications from aerospace to automated manufacturing. These systems can be found naturally within biological processes, such as blood sugar regulation and heart rate adjustment in response to stress, as well as in man-made systems like elevators and automated vehicles. A control system is essentially a network of subsystems and processes that collaboratively convert specific inputs into desired outputs.
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Controlled current coulometry, also known as amperostatic coulometry, is a technique used in electrochemical analysis to measure the quantity of a substance through the controlled passage of current. It involves the application of a constant current to an electrochemical cell containing the analyte of interest. As the current flows through the cell, the analyte undergoes a redox reaction at the electrode surface, resulting in a charge transfer. By monitoring the time required for a certain...
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Biological agents offer an effective means of controlling microbial growth by leveraging natural processes like predation, competition, and the secretion of antimicrobial substances.Predatory bacteria such as Bdellovibrio species target and kill pathogens like Salmonella and E. coli. They are widely used in poultry farms to control infections. Myxococcus species help combat plant-pathogenic fungi. These naturally occurring predators serve as eco-friendly alternatives to chemical pesticides and...
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Microbial growth control refers to various methods employed to inhibit, reduce, or eliminate microorganisms to ensure safety and hygiene across different settings. These methods are categorized based on the target environment and the level of microbial control required.Biocides are versatile agents designed to control microorganisms by either inhibiting their growth or outright killing them. These agents work through various physical, chemical, mechanical, or biological mechanisms. The...
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Updated: Oct 31, 2025

Process Optimization using High Throughput Automated Micro-Bioreactors in Chinese Hamster Ovary Cell Cultivation
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Bioprocess Control: Current Progress and Future Perspectives.

Anurag S Rathore1, Somesh Mishra1, Saxena Nikita1

  • 1Department of Chemical Engineering, Indian Institute of Technology Delhi, New Delhi 110016, India.

Life (Basel, Switzerland)
|July 2, 2021
PubMed
Summary
This summary is machine-generated.

Modern bioprocess control strategies address challenges in cell growth and product synthesis. This review covers advanced methods like fuzzy logic and neural networks for optimized bioprocessing.

Keywords:
automationbioprocess controlclosed loopcontrol systemsfuzzy logicneural networksopen loopprocess monitoring

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Area of Science:

  • Biotechnology and Biochemical Engineering
  • Process Control and Automation

Background:

  • Bioprocesses require optimal environments for cell growth and product synthesis.
  • Biotech processes present unique control challenges due to non-linearity, variability, and complexity.

Purpose of the Study:

  • To review modern control strategies in bioprocessing.
  • To highlight the effectiveness of various control schemes.

Main Methods:

  • Review of conventional (open loop, closed loop) and modern control strategies.
  • Illustration of fuzzy logic, model predictive control, adaptive control, and neural network-based control.
  • Discussion of system architecture, software, hardware, and interfaces in bioprocess control.

Main Results:

  • Modern control strategies offer improved solutions for complex bioprocesses.
  • Bioprocess control encompasses automation, system integration, and optimization.
  • Consideration of process requirements, cost, market value, and regulations is crucial.

Conclusions:

  • Advanced control strategies are essential for efficient and effective bioprocessing.
  • Holistic approach to bioprocess control, including automation and system design, is necessary.
  • Best practices in bioprocess control, monitoring, and automation are continually evolving.