Literature DB >> 27861738

Online measurement of viscosity for biological systems in stirred tank bioreactors.

Maximilian Schelden1, William Lima1,2, Eric Will Doerr1,3, Martin Wunderlich1, Lars Rehmann1,3, Jochen Büchs1, Lars Regestein1.   

Abstract

One of the most critical parameters in chemical and biochemical processes is the viscosity of the medium. Its impact on mixing, as well as on mass and energy transfer is substantial. An increase of viscosity with reaction time can be caused by the formation of biopolymers like xanthan or by filamentous growth of microorganisms. In either case the properties of fermentation broth are changing and frequently non-Newtonian behavior are observed, resulting in major challenges for the measurement and control of mixing and mass transfer. This study demonstrates a method for the online determination of the viscosity inside a stirred tank reactor. The presented method is based on online measurement of heat transfer capacity from the bulk medium to the jacket of the reactor. To prove the feasibility of the method, fermentations with the xanthan producing bacterium Xanthomonas campestris pv. campestris B100 as model system were performed. Excellent correlation between offline measured apparent viscosity and online determined heat transfer capacity were found. The developed tool should be applicable to any other process with formation of biopolymers and filamentous growth. Biotechnol. Bioeng. 2017;114: 990-997.
© 2016 Wiley Periodicals, Inc. © 2016 Wiley Periodicals, Inc.

Entities:  

Keywords:  Xanthomonas campestris; biopolymer; viscosity

Mesh:

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Year:  2016        PMID: 27861738     DOI: 10.1002/bit.26219

Source DB:  PubMed          Journal:  Biotechnol Bioeng        ISSN: 0006-3592            Impact factor:   4.530


  3 in total

1.  Digital Twins in Biomanufacturing.

Authors:  Steffen Zobel-Roos; Axel Schmidt; Lukas Uhlenbrock; Reinhard Ditz; Dirk Köster; Jochen Strube
Journal:  Adv Biochem Eng Biotechnol       Date:  2021       Impact factor: 2.635

2.  Use of inline near-infrared spectroscopy to predict the viscosity of shampoo using multivariate analysis.

Authors:  K Haroon; A Arafeh; P Martin; T Rodgers; Ć Mendoza; M Baker
Journal:  Int J Cosmet Sci       Date:  2019-06-28       Impact factor: 2.970

3.  Comparison of Individual and Integrated Inline Raman, Near-Infrared, and Mid-Infrared Spectroscopic Models to Predict the Viscosity of Micellar Liquids.

Authors:  Kiran Haroon; Ali Arafeh; Stephanie Cunliffe; Philip Martin; Thomas Rodgers; Ćesar Mendoza; Michael Baker
Journal:  Appl Spectrosc       Date:  2020-05-29       Impact factor: 2.388

  3 in total

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