Literature DB >> 1368463

On-line measurement in biotechnology: exploitation, objectives and benefits.

G Locher1, B Sonnleitner, A Fiechter.   

Abstract

Sound data biologically relevant are prerequisites when developing high-performance bioprocesses. Understanding of physiological regulation as well as sophisticated control strategies are highly dependent on the observability of the culture, i.e. the generation and exploitation of suited signals even under complex environmental measurement conditions. Against this background, the increasing number of analytical systems is very supportive and, accordingly, an appropriate handling of sensors and measured data is of decisive importance. This article reports on practical experience with routines for maintenance, service and calibration of hardware sensors which improve the quality of measurements significantly. Verification and validation of signals is outlined in order to make the value of data exploitation tools obvious. A method for the characterization of information is introduced by practical examples of Saccharomyces cerevisiae cultures when explaining the specific properties of extracting biological information from raw data. Finally, examples for advantageous exploitation of on-line data are given.

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Year:  1992        PMID: 1368463     DOI: 10.1016/0168-1656(92)90109-m

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


  3 in total

Review 1.  Flow cytometry and cell sorting of heterogeneous microbial populations: the importance of single-cell analyses.

Authors:  H M Davey; D B Kell
Journal:  Microbiol Rev       Date:  1996-12

Review 2.  Methods for quantification of growth and productivity in anaerobic microbiology and biotechnology.

Authors:  Lisa-Maria Mauerhofer; Patricia Pappenreiter; Christian Paulik; Arne H Seifert; Sébastien Bernacchi; Simon K-M R Rittmann
Journal:  Folia Microbiol (Praha)       Date:  2018-11-16       Impact factor: 2.099

3.  Current good manufacturing practice in plant automation of biological production processes.

Authors:  R C Dorresteijn; G Wieten; P T van Santen; M C Philippi; C D de Gooijer; J Tramper; E C Beuvery
Journal:  Cytotechnology       Date:  1997-01       Impact factor: 2.058

  3 in total

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