Prerequisites for the on-line control of microbial processes by flow injection analysis

Area of Science:

• Biotechnology
• Analytical Chemistry
• Process Engineering

Background:

• Biosensors offer potential for real-time process monitoring but face challenges like sterilization and sensor fouling.
• These limitations hinder reliable and continuous application in industrial settings.
• Addressing these issues is crucial for advancing biosensor technology in process control.

Purpose of the Study:

• To outline methods for overcoming common problems associated with biosensor use in process control.
• To highlight the advantages of flow injection analysis (FIA) for biosensing applications.
• To propose a novel computer-controlled, self-calibrating FIA system for enhanced process monitoring.

Main Methods:

• Review of existing literature on biosensor challenges and solutions.
• Demonstration of flow injection analysis (FIA) principles and benefits.
• Presentation of efficient sampling systems and problem-oriented sample pretreatment techniques.
• Proposal of a computer-controlled, self-calibrating FIA system architecture.

Main Results:

• Identification of sterilization and sensor fouling as key obstacles in biosensor application.
• Demonstration of FIA's efficiency in overcoming some of these limitations.
• Examples of effective sample pretreatment strategies to prevent enzyme inactivation.
• Conceptualization of a self-calibrating FIA system for improved automation and accuracy.

Conclusions:

• Flow injection analysis (FIA) combined with strategic sample pretreatment offers a viable solution to biosensor limitations in process control.
• The proposed computer-controlled, self-calibrating FIA system has the potential to significantly enhance the reliability and automation of biosensing processes.
• Further development and validation of such integrated systems are recommended for practical implementation.