One of the mass transfer resistances for the gas exchange of shaking flasks is the sterile plug. The gas exchange through the sterile plug is described by an extended model of Henzler and Schedel [Bioprocess Eng. 7 (1991) 123]. Based on this model, a new method was developed to obtain the mass trans
Characterisation of the gas–liquid mass transfer in shaking bioreactors
✍ Scribed by Ulrike Maier; Jochen Büchs
- Publisher
- Elsevier Science
- Year
- 2001
- Tongue
- English
- Weight
- 378 KB
- Volume
- 7
- Category
- Article
- ISSN
- 1369-703X
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✦ Synopsis
The maximum gas-liquid mass transfer capacity of 250ml shaking flasks on orbital shaking machines has been experimentally investigated using the sulphite oxidation method under variation of the shaking frequency, shaking diameter, filling volume and viscosity of the medium. The distribution of the liquid within the flask has been modelled by the intersection between the rotational hyperboloid of the liquid and the inner wall of the shaking flask. This model allows for the calculation of the specific exchange area (a), the mass transfer coefficient (k(L)) and the maximum oxygen transfer capacity (OTR(max)) for given operating conditions and requires no fitting parameters. The model agrees well with the experimental results. It was furthermore shown that the liquid film on the flask wall contributes significantly to the specific mass transfer area (a) and to the oxygen transfer rate (OTR).
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In many fermentation processes, oxygen transfer is the rate limiting step. Correct measurement and subsequent estimation of the volumetric mass transfer coefficient is a crucial step in the design procedure of bioreactors. This article discusses some of the methods that are commonly used for the mea
## Abstract **BACKGROUND:** Oxygen mass transfer can be described and analyzed by means of the mass transfer coefficient __k__~__L__~__a__, which is the most important parameter involved in the design and operation of mixing–sparging equipment for bioreactors. In the present study, the effect of bi