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Influence of the flow field on α-cyclodextrin glycosyltransferase production by Escherichia coli BL21

Overview of attention for article published in Bioprocess and Biosystems Engineering, March 2018
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Title
Influence of the flow field on α-cyclodextrin glycosyltransferase production by Escherichia coli BL21
Published in
Bioprocess and Biosystems Engineering, March 2018
DOI 10.1007/s00449-018-1916-1
Pubmed ID
Authors

Xiao Li, Chao-Qun Xu, Yu-Di Luo, Song Zhang, Cong Huang, Kun Zou, Ya-Li Tan, Ye-Xu Wu, Zhang-Shuang Deng

Abstract

The computational fluid dynamics (CFD) software package Fluent was utilized to simulate the flow field of Escherichia coli (E. coli) BL21 fermentation in a 50 L automatic bioreactor for producing α-cyclodextrin glycosyltransferase (α-CGTase) in this study. 4-down-pumping propeller (4DPP), 6-curved-blade disc turbine (6CBDT), and Rushton turbine (RT) were assembled to form eight impeller combinations (C1-C8). Through flow field simulating, four referential impeller combinations, in which C6, C7, and C8 were three layers stirring blades and C1 as a control, were selected to carry out batch fermentation experiments (TC1, TC6, TC7, and TC8) for validation. The correlation analysis between simulation results and experimental measurements indicated that TC6 (tank equipped with C6 impeller combination) exhibited lower enzymatic activity though it had the better mixing effect, fastest oxygen uptake rate (OUR), and maximum specific growth rate (µ) in the initial stage, which was just to the contrary in TC8. It was revealed by next fed-batch fermentation experiments in TC6 and TC8 that TC6 was considered as excellent flow field properties brought about the higher µ of E. coli BL21 and fast acetic acid (HAc) accumulation, which resulting in a serious inhibition on α-CGTase expression and this negative effect could not be removed. As a result, there should be a threshold of HAc accumulation rate which brought about a terrible inhibitory effect on α-CGTase expression. Moreover, the yield of α-CGTase activity reached 231.38 U mL- 1in TC8, which elevated 31.74% compared to that obtained in TC1.

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Geographical breakdown

Country Count As %
Unknown 6 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 2 33%
Student > Bachelor 1 17%
Researcher 1 17%
Other 1 17%
Unknown 1 17%
Readers by discipline Count As %
Agricultural and Biological Sciences 2 33%
Biochemistry, Genetics and Molecular Biology 1 17%
Veterinary Science and Veterinary Medicine 1 17%
Unknown 2 33%
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 March 2018.
All research outputs
#22,834,739
of 25,461,852 outputs
Outputs from Bioprocess and Biosystems Engineering
#477
of 604 outputs
Outputs of similar age
#307,490
of 347,578 outputs
Outputs of similar age from Bioprocess and Biosystems Engineering
#1
of 1 outputs
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