Literature DB >> 17787006

Electrooptical measurements for monitoring metabolite fluxes in acetone-butanol-ethanol fermentations.

Stefan Junne1, Eva Klein, Alexander Angersbach, Peter Goetz.   

Abstract

Anisotropy of electrical polarizability in Clostridium acetobutylicum cells during pH 5 controlled acetone butanol ethanol fermentations was observed. Cell length was determined from the electrooptical data. Mean length was determined as being 2.5 microm in the growth phase and 3.5 microm in the early stationary phase. Based on the obtained frequency dispersion of polarizability anisotropy (FDPA) in the range of 190 to 2,100 kHz, the switch from the acidogenic to the solventogenic phase could be monitored. The slope of polarizability versus the frequency made it possible to differentiate between phases of dominating acid and solvent production. Metabolite fluxes determined from concentration measurements correlated well to the polarizability. A partial least-squares (PLS) model was established and validated by applying data from several fermentations. The root mean square error of calibration (RMSEC) was 0.09 for the acid fluxes and 0.11 for the solvent fluxes. The root mean square error of prediction (RMSEP) was 0.20 for acid fluxes and 0.24 for solvent fluxes. The ratio of polarizability at high and low frequencies correlated to the ongoing sporulation process. At ratios below 0.25, spore formation in the cells became visible under the microscope. The advantage of using electrooptical measurements is the ability to observe metabolite fluxes rather than concentrations, which provides useful information on productivity during a bioprocess. Copyright 2007 Wiley Periodicals, Inc.

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Year:  2008        PMID: 17787006     DOI: 10.1002/bit.21639

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


  3 in total

1.  Electrooptical monitoring of cell polarizability and cell size in aerobic Escherichia coli batch cultivations.

Authors:  Stefan Junne; M Nicolas Cruz-Bournazou; Alexander Angersbach; Peter Götz
Journal:  J Ind Microbiol Biotechnol       Date:  2010-05-29       Impact factor: 3.346

2.  Development and application of flow-cytometric techniques for analyzing and sorting endospore-forming clostridia.

Authors:  Bryan P Tracy; Stefan M Gaida; Eleftherios T Papoutsakis
Journal:  Appl Environ Microbiol       Date:  2008-10-17       Impact factor: 4.792

3.  Single bacteria movement tracking by online microscopy--a proof of concept study.

Authors:  Andreas Ziegler; Daniel Schock-Kusch; Dominik Bopp; Sandra Dounia; Matthias Rädle; Ulf Stahl
Journal:  PLoS One       Date:  2015-04-07       Impact factor: 3.240

  3 in total

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