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Phenotyping the quality of complex medium components by simple online-monitored shake flask experiments

Overview of attention for article published in Microbial Cell Factories, November 2014
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Title
Phenotyping the quality of complex medium components by simple online-monitored shake flask experiments
Published in
Microbial Cell Factories, November 2014
DOI 10.1186/s12934-014-0149-5
Pubmed ID
Authors

Sylvia Diederichs, Anna Korona, Antje Staaden, Wolfgang Kroutil, Kohsuke Honda, Hisao Ohtake, Jochen Büchs

Abstract

BackgroundMedia containing yeast extracts and other complex raw materials are widely used for the cultivation of microorganisms. However, variations in the specific nutrient composition can occur, due to differences in the complex raw material ingredients and in the production of these components. These lot-to-lot variations can affect growth rate, product yield and product quality in laboratory investigations and biopharmaceutical production processes. In the FDA¿s Process Analytical Technology (PAT) initiative, the control and assessment of the quality of critical raw materials is one key aspect to maintain product quality and consistency. In this study, the Respiration Activity Monitoring System (RAMOS) was used to evaluate the impact of different yeast extracts and commercial complex auto-induction medium lots on metabolic activity and product yield of four recombinant Escherichia coli variants encoding different enzymes.ResultsUnder non-induced conditions, the oxygen transfer rate (OTR) of E. coli was not affected by a variation of the supplemented yeast extract lot. The comparison of E. coli cultivations under induced conditions exhibited tremendous differences in OTR profiles and volumetric activity for all investigated yeast extract lots of different suppliers as well as lots of the same supplier independent of the E. coli variant. Cultivation in the commercial auto-induction medium lots revealed the same reproducible variations. In cultivations with parallel offline analysis, the highest volumetric activity was found at different cultivation times. Only by online monitoring of the cultures, a distinct cultivation phase (e.g. glycerol depletion) could be detected and chosen for comparable and reproducible offline analysis of the yield of functional product.ConclusionsThis work proves that cultivations conducted in complex media may be prone to significant variation in final product quality and quantity if the quality of the raw material for medium preparation is not thoroughly checked. In this study, the RAMOS technique enabled a reliable and reproducible screening and phenotyping of complex raw material lots by online measurement of the respiration activity. Consequently, complex raw material lots can efficiently be assessed if the distinct effects on culture behavior and final product quality and quantity are visualized.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 57 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 57 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 12 21%
Student > Ph. D. Student 9 16%
Student > Bachelor 7 12%
Student > Doctoral Student 6 11%
Researcher 6 11%
Other 7 12%
Unknown 10 18%
Readers by discipline Count As %
Agricultural and Biological Sciences 12 21%
Biochemistry, Genetics and Molecular Biology 12 21%
Engineering 10 18%
Chemical Engineering 5 9%
Chemistry 3 5%
Other 3 5%
Unknown 12 21%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 08 November 2014.
All research outputs
#20,242,136
of 22,769,322 outputs
Outputs from Microbial Cell Factories
#1,359
of 1,595 outputs
Outputs of similar age
#219,364
of 262,838 outputs
Outputs of similar age from Microbial Cell Factories
#29
of 32 outputs
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