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Cross-section perimeter is a suitable parameter to describe the effects of different baffle geometries in shaken microtiter plates

Overview of attention for article published in Journal of Biological Engineering, July 2014
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Title
Cross-section perimeter is a suitable parameter to describe the effects of different baffle geometries in shaken microtiter plates
Published in
Journal of Biological Engineering, July 2014
DOI 10.1186/1754-1611-8-18
Pubmed ID
Authors

Clemens Lattermann, Matthias Funke, Sven Hansen, Sylvia Diederichs, Jochen Büchs

Abstract

Biotechnological screening processes are performed since more than 8 decades in small scale shaken bioreactors like shake flasks or microtiter plates. One of the major issues of such reactors is the sufficient oxygen supply of suspended microorganisms. Oxygen transfer into the bulk liquid can in general be increased by introducing suitable baffles at the reactor wall. However, a comprehensive and systematic characterization of baffled shaken bioreactors has never been carried out so far. Baffles often differ in number, size and shape. The exact geometry of baffles in glass lab ware like shake flasks is very difficult to reproduce from piece to piece due to the hard to control flow behavior of molten glass during manufacturing. Thus, reproducibility of the maximum oxygen transfer capacity in such baffled shake flasks is hardly given.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 43 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 1 2%
Unknown 42 98%

Demographic breakdown

Readers by professional status Count As %
Researcher 11 26%
Student > Ph. D. Student 8 19%
Student > Master 7 16%
Other 4 9%
Student > Bachelor 2 5%
Other 6 14%
Unknown 5 12%
Readers by discipline Count As %
Agricultural and Biological Sciences 12 28%
Biochemistry, Genetics and Molecular Biology 11 26%
Engineering 10 23%
Chemical Engineering 2 5%
Chemistry 1 2%
Other 0 0%
Unknown 7 16%