Literature DB >> 18611454

Model based substrate set point control of yeast cultivation processes based on FIA measurements.

Christine Klockow1, Dirk Hüll, Bernd Hitzmann.   

Abstract

In this contribution a model based substrate control system for Saccharomyces cerevisiae fed batch cultivations is presented. The intention is to keep the concentration of the substrate glucose at a fixed selected set point during the process run. Set points of 0.07 g L(-1) and 0.5 g L(-1) are chosen, as the cells change their metabolism from pure oxidative to oxidative-reductive depending on the glucose concentration. The precise control of glucose concentration during cultivations still poses a challenge as the analysis with available on-line measurement systems still has the problem of noise and a time delay of at least 6 min. To compensate these effects a control system based on an ordinary FIA system for glucose measurements complemented by an extended Kalman filter is employed. The Kalman filter could handle the dynamics of the process accurately. Based on the glucose measurement every 3 min it estimated the biomass and glucose concentration as well as the growth rate factor and the volume of the culture broth. Utilising the estimated values of the process variables a feed forward controller was complemented by a PI controller to adjust the glucose concentration at the desired set points. During the control phase the standard deviation of the measurements are 0.002 g L(-1) and 0.022 g L(-1) for the set points of 0.07 g L(-1) and 0.5 g L(-1), respectively.

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Year:  2008        PMID: 18611454     DOI: 10.1016/j.aca.2008.06.011

Source DB:  PubMed          Journal:  Anal Chim Acta        ISSN: 0003-2670            Impact factor:   6.558


  4 in total

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Journal:  Adv Biochem Eng Biotechnol       Date:  2021       Impact factor: 2.635

2.  Mechanistic Mathematical Models as a Basis for Digital Twins.

Authors:  André Moser; Christian Appl; Simone Brüning; Volker C Hass
Journal:  Adv Biochem Eng Biotechnol       Date:  2021       Impact factor: 2.635

Review 3.  Fluorescence spectroscopy and chemometric modeling for bioprocess monitoring.

Authors:  Saskia M Faassen; Bernd Hitzmann
Journal:  Sensors (Basel)       Date:  2015-04-30       Impact factor: 3.576

4.  Parameter and state estimation of backers yeast cultivation with a gas sensor array and unscented Kalman filter.

Authors:  Abdolrahimahim Yousefi-Darani; Olivier Paquet-Durand; Jörg Hinrichs; Bernd Hitzmann
Journal:  Eng Life Sci       Date:  2020-12-04       Impact factor: 2.678

  4 in total

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