Literature DB >> 24998767

Characterization of oxygen transfer in a 24-well microbioreactor system and potential respirometric applications.

Rocio Ramirez-Vargas1, Miguel Vital-Jacome1, Enrique Camacho-Perez2, Loe Hubbard3, Frederic Thalasso4.   

Abstract

The assessment of microbial processes is often done in Microbioreactor systems (MBRs), which allow for parallel cultivation in multiple independent wells. MBRs often include dissolved oxygen sensors, which are convenient for process characterization through oxygen uptake rate and other respirometric determinations. In order to assess respirometric potential of MBRs, a complete assessment of the DO fluorescent quenching sensors was done, showing that they presented a typical error of 0.56%, a signal to noise ratio of 189, a response time from 5.7 to 7.2 s and no drift over a period of 24 h. Then, KLa in the MBR was measured with different cassette and cap designs, liquid volumes, agitation rates, gas flow rates, temperatures and ionic strengths. KLa ranged from 8 to 90 h(-1), with a standard deviation between replicates from 2.8 to 17.5%. From these results and a numerical simulation, it was shown that the MBR tested allow the determination of oxygen uptake rates in a range from 0.038 to 3390 mg L(-1) h(-1), with a determination error less than 15%. Besides OUR determination, it was concluded that the MBR tested is also a convenient tool for dynamic pulse respirometry methods, based on experimental confirmation with four different cultures.
Copyright © 2014 The Authors. Published by Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Micro-24; Microbioreactor; Microreactor; Pall; PreSens

Mesh:

Substances:

Year:  2014        PMID: 24998767     DOI: 10.1016/j.jbiotec.2014.06.031

Source DB:  PubMed          Journal:  J Biotechnol        ISSN: 0168-1656            Impact factor:   3.307


  2 in total

1.  Microtiter miniature shaken bioreactor system as a scale-down model for process development of production of therapeutic alpha-interferon2b by recombinant Escherichia coli.

Authors:  Joo Shun Tan; Sahar Abbasiliasi; Saeid Kadkhodaei; Yew Joon Tam; Teck-Kim Tang; Yee-Ying Lee; Arbakariya B Ariff
Journal:  BMC Microbiol       Date:  2018-01-04       Impact factor: 3.605

2.  High throughput automated microbial bioreactor system used for clone selection and rapid scale-down process optimization.

Authors:  M Lourdes Velez-Suberbie; John P J Betts; Kelly L Walker; Colin Robinson; Barney Zoro; Eli Keshavarz-Moore
Journal:  Biotechnol Prog       Date:  2017-08-10
  2 in total

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