Literature DB >> 8987498

A complete computer monitoring and control system using commercially available, configurable software for laboratory and pilot plant Escherichia coli fermentations.

R S Blackmore1, J S Blome, J O Neway.   

Abstract

The advent of inexpensive computers and associated control and data acquisition software makes possible the development of sophisticated, configurable, integrated monitoring and control systems for small-scale laboratory and pilot-scale fermentors at low cost. We describe here the implementation of such a system, the interfacing of off-line instruments to enhance real time data analysis, low level process control and several substrate feeding protocols.

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Year:  1996        PMID: 8987498     DOI: 10.1007/bf01570121

Source DB:  PubMed          Journal:  J Ind Microbiol        ISSN: 0169-4146


  12 in total

1.  Application of a microcomputer-based system to control and monitor bacterial growth.

Authors:  J A Titus; G W Luli; M L Dekleva; W R Strohl
Journal:  Appl Environ Microbiol       Date:  1984-02       Impact factor: 4.792

2.  Development of a direct digital-controlled fermentor using a microminicomputer hierarchical system.

Authors:  M J Rolf; P J Hennigan; R D Mohler; W A Weigand; H C Lim
Journal:  Biotechnol Bioeng       Date:  1982-05       Impact factor: 4.530

3.  General characteristics of optimal feed rate profiles for various fed-batch fermentation processes.

Authors:  J M Modak; H C Lim; Y J Tayeb
Journal:  Biotechnol Bioeng       Date:  1986-09       Impact factor: 4.530

4.  Computational algorithms for optimal feed rates for a class of fed-batch fermentation: Numerical results for penicillin and cell mass production.

Authors:  H C Lim; Y J Tayeb; J M Modak; P Bonte
Journal:  Biotechnol Bioeng       Date:  1986-09       Impact factor: 4.530

5.  Simple nonsingular control approach to fed-batch fermentation optimization.

Authors:  J M Modak; H C Lim
Journal:  Biotechnol Bioeng       Date:  1989-01-05       Impact factor: 4.530

6.  Pilot scale exponential growth of Escherichia coli W to high cell concentration with temperature variation.

Authors:  S Bauer; M D White
Journal:  Biotechnol Bioeng       Date:  1976-06       Impact factor: 4.530

7.  A predictive and feedback control algorithm maintains a constant glucose concentration in fed-batch fermentations.

Authors:  G L Kleman; J J Chalmers; G W Luli; W R Strohl
Journal:  Appl Environ Microbiol       Date:  1991-04       Impact factor: 4.792

8.  Comparison of growth, acetate production, and acetate inhibition of Escherichia coli strains in batch and fed-batch fermentations.

Authors:  G W Luli; W R Strohl
Journal:  Appl Environ Microbiol       Date:  1990-04       Impact factor: 4.792

9.  Acetate metabolism by Escherichia coli in high-cell-density fermentation.

Authors:  G L Kleman; W R Strohl
Journal:  Appl Environ Microbiol       Date:  1994-11       Impact factor: 4.792

10.  Modeling and optimization of cloned invertase expression in Saccharomyces cerevisiae.

Authors:  A Patkar; J H Seo; H C Lim
Journal:  Biotechnol Bioeng       Date:  1993-05       Impact factor: 4.530

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