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Power Input Measurements in Stirred Bioreactors at Laboratory Scale
Published on: May 16, 2018
Dynamic pressure method for kla measurement in large-scale bioreactors
1Chemical Engineering Department, Institute of Chemical Technology, 166 28 Prague 6, Czechoslovakia.
Biotechnology and Bioengineering
|May 1, 1989
Summary
A new dynamic method accurately measures the oxygen transfer coefficient (k(l)a) in reactors by adjusting total pressure. This approach overcomes limitations of existing methods, ensuring reliable k(l)a values for aerated and agitated systems.
Area of Science:
- Chemical Engineering
- Reaction Engineering
- Mass Transfer
Background:
- Accurate measurement of the oxygen transfer coefficient (k(l)a) is crucial for optimizing aerated and agitated reactors.
- Existing dynamic methods for k(l)a determination can be prone to significant errors due to gas phase non-idealities and interfacial transport phenomena.
Purpose of the Study:
- To propose and validate a novel dynamic method for k(l)a measurement that mitigates errors associated with non-ideal gas mixing.
- To demonstrate the reliability and applicability of the proposed method in comparison to established techniques.
Main Methods:
- A dynamic method involving a ~20% change in total reactor pressure, inducing a simultaneous change in oxygen concentration within all bubbles.
- Validation through comparison with a standard dynamic method (oxygen absorption in a degassed liquid) and the steady-state sulfite method.
- Testing oxygen probe signal independence from pressure variations.
Main Results:
- The proposed pressure-based dynamic method effectively suppresses errors caused by non-ideal gas mixing, unlike conventional dynamic methods.
- Reliable k(l)a values were obtained, validated against established methods.
- The method is suitable for large-scale reactors and can utilize air, not just pure oxygen.
Conclusions:
- The dynamic pressure method offers a more reliable and robust approach for k(l)a measurement in aerated and agitated reactors.
- This method provides a significant improvement over existing dynamic techniques, reducing potential errors.
- Its suitability for industrial-scale applications and use of air broadens its practical utility.
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