Estimation of biomass and specific growth rate in a recombinant Escherichia coli batch cultivation process using a chemical multisensor array

A chemical multisensor array is used in combination with an artificial neural network to estimate the biomass concentration and specific growth rate in a recombinant Escherichia coli batch cultivation. It is shown that by providing sufficient information to the artificial neural network, an accuracy...

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Bibliographic Details
Published in:Journal of biotechnology 1998-02, Vol.60 (1-2), p.55-66
Main Authors: Bachinger, Th, Mårtensson, P, Mandenius, C.-F
Format: Article
Language:English
Subjects:
Ammonia - analysis
Biological and medical sciences
Biomass
Biotechnology
DNA, Recombinant
Escherichia coli
Escherichia coli - genetics
Escherichia coli - growth & development
Ethanol - analysis
Fermentation
Fundamental and applied biological sciences. Psychology
Gases - analysis
Hydrocarbons - analysis
Hydrogen - analysis
Methods. Procedures. Technologies
Microbial engineering. Fermentation and microbial culture technology
Multisensor array
Neural Networks (Computer)
Specific growth rate
Time Factors
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Summary:A chemical multisensor array is used in combination with an artificial neural network to estimate the biomass concentration and specific growth rate in a recombinant Escherichia coli batch cultivation. It is shown that by providing sufficient information to the artificial neural network, an accuracy comparable to that of an established dry weight method can be achieved. The obtained prediction error (1σ) of 0.043 g l−1 for biomass compares well with the error of the dry weight method in this low biomass concentration range (0.1–3 g l−1). The prediction for the specific growth rate is accurate during important parts of the cell growth (1σ=0.025 h−1). The results show that this non-invasive method is potentially useful for estimating biomass and specific growth rate on-line in bioprocesses.
ISSN:0168-1656
1873-4863
DOI:10.1016/S0168-1656(97)00187-9