A New Method of On-Line Measurement of Buffer Capacity and Alkali Consumption Rate of a Fermentation Process.

The article contains sections titled: 1. Introduction 2. Characteristics of Bioprocesses 2.1. System Definition 2.2. System Description 2.3. Dynamics of Biosystems and Real‐Time Considerations 3. Biotechnological Measurement Systems 3.1. Process Requirements Concerning Measuring Quantities 3.2. Online Sensing Devices 3.3. Further Aspects Concerning Measuring Systems 4. Cognitive Computing 4.1. Fuzzy Logic Systems 4.2. Artificial Neural Networks (ANN) 5. Modeling Aspects of Biological Systems 5.1. Steps in Creating a Model 5.2. Reasons for Making a Model 5.3. Different Types and Basic Approaches for Building a Model

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Future Aspects of Bioprocess Monitoring

Becker

Hitzmann

Muffler

et al. 2006

Advances in Biochemical Engineering/Biotechnology

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Nature has the impressive ability to efficiently and precisely control biological processes by applying highly evolved principles and using minimal space and relatively simple building blocks. The challenge is to transfer these principles into technically applicable and precise analytical systems that can be used for many applications. This article summarizes some of the new approaches in sensor technology and control strategies for different bioprocesses such as fermentations, biotransformations, and downstream processes. It focuses on bio- and chemosensors, optical sensors, DNA and protein chip technology, software sensors, and modern aspects of data evaluation for improved process monitoring and control.

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A New Method of On-Line Measurement of Buffer Capacity and Alkali Consumption Rate of a Fermentation Process.

Cited by 4 publications

References 6 publications

Biotechnology

Biotechnology

Biotechnology, 5. Monitoring and Modeling of Bioprocesses

Future Aspects of Bioprocess Monitoring

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