Literature DB >> 14505014

The tuning of a model-based estimator for the specific growth rate of Candida utilis.

E J November1, J F Van Impe.   

Abstract

Control of microbial conversion processes is frequently inhibited by the infeasibility of measuring important process variables. In order to circumvent this lack of measurements, an accurate or valuable and conveniently measurable on-line hardware measurement can be combined with the balance equations describing the process to obtain estimates of less easily measurable variables. In this article the on-line estimation of the specific growth rate of Candida utilis is evaluated. The observer-based estimator requires a hardware measurement of the biomass during fermentations in conjuction with a model of the process; therefore the Biomass Monitor, giving an on-line measurement of viable biomass, is used in the bioreactor experiments described. The optimal tuning of the estimation for the experimental conditions is described and several alternative adaptations of the design of the estimator are presented. The influence of implemented time intervals for discretization of the estimator on the reliability of the estimated growth rate values is discussed. Additionally, the necessary choice of an initial value of the estimated specific growth rate has proven to be of great importance in practice.

Entities:  

Year:  2002        PMID: 14505014     DOI: 10.1007/s004490100239

Source DB:  PubMed          Journal:  Bioprocess Biosyst Eng        ISSN: 1615-7591            Impact factor:   3.210


  2 in total

Review 1.  Biomass measurement online: the performance of in situ measurements and software sensors.

Authors:  Kristiina Kiviharju; Kalle Salonen; Ulla Moilanen; Tero Eerikäinen
Journal:  J Ind Microbiol Biotechnol       Date:  2008-04-08       Impact factor: 3.346

2.  Use of equivalent circuit analysis and Cole-Cole model in evaluation of bioreactor operating conditions for biomass monitoring by impedance spectroscopy.

Authors:  Adrián Díaz Pacheco; Raul Jacobo Delgado-Macuil; Ángel Díaz-Pacheco; Claudia Patricia Larralde-Corona; Jabel Dinorín-Téllez-Girón; Victor Eric López-Y-López
Journal:  Bioprocess Biosyst Eng       Date:  2021-04-21       Impact factor: 3.210

  2 in total

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