Modeling of enzyme production kinetics View Full Text


Ontology type: schema:ScholarlyArticle     


Article Info

DATE

2006-11-23

AUTHORS

Mani Thilakavathi, Tanmay Basak, Tapobrata Panda

ABSTRACT

Models of single cells, cell populations, and cultures can be most useful in organizing information in a comprehensive system description, as well as in optimizing and controlling actual production operations. Models discussed in this article are of various degrees of biological structure and mathematical complexity. The models are developed based on the biomass formation, substrate consumption, and product formation. The potentials and the limitations of all the models have been reported. The parameter estimation by different methods has been discussed in this communication. These parameters will be helpful to explore the areas where future-modeling studies may be especially valuable. More... »

PAGES

991-1007

References to SciGraph publications

  • 1996-11-20. Effect of product inhibition on lactic acid fermentation: simulation and modelling in APPLIED MICROBIOLOGY AND BIOTECHNOLOGY
  • 1992-01. Production of sophorose lipids byTorulopsis bombicola from safflower oil and glucose in JOURNAL OF THE AMERICAN OIL CHEMISTS' SOCIETY
  • 1999-10. A semi-structured model for the growth and β-Galactosidase production by fed-batch fermentation of Kluyveromyces marxianus in BIOPROCESS AND BIOSYSTEMS ENGINEERING
  • 1992. Carbon Mass Balance Analysis of Sophorose Lipid Production by Torulopsis bombicola in BIOCHEMICAL ENGINEERING FOR 2001
  • 1994-01. Modeling of cell culture processes in CYTOTECHNOLOGY
  • 1982. Application of simple structured models in bioengineering in MICROBES AND ENGINEERING ASPECTS
  • 1988-09-01. Microbial production, structure elucidation and bioconversion of sophorose lipids in JOURNAL OF THE AMERICAN OIL CHEMISTS' SOCIETY
  • 1991-05. Structured model for cell growth and enzyme production by recombinant Escherichia coli in APPLIED MICROBIOLOGY AND BIOTECHNOLOGY
  • 2002-09. A simple structured model for biomass and extracellular enzyme production with recombinant Saccharomyces cerevisiae YPB-G in JOURNAL OF INDUSTRIAL MICROBIOLOGY & BIOTECHNOLOGY
  • 1988-09. A simulation program based on a structured population model for biotechnological yeast processes in APPLIED MICROBIOLOGY AND BIOTECHNOLOGY
  • 2000. Bioreaction Engineering, Modeling and Control in NONE
  • 1980-03. A kinetic model for growth and synthesis of poly-β-hydroxybutyric acid (PHB) in Alcaligenes eutrophus H 16 in APPLIED MICROBIOLOGY AND BIOTECHNOLOGY
  • Identifiers

    URI

    http://scigraph.springernature.com/pub.10.1007/s00253-006-0667-0

    DOI

    http://dx.doi.org/10.1007/s00253-006-0667-0

    DIMENSIONS

    https://app.dimensions.ai/details/publication/pub.1007541850

    PUBMED

    https://www.ncbi.nlm.nih.gov/pubmed/17338073


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