Matematicheskoe modelirovanie
RUS  ENG    JOURNALS   PEOPLE   ORGANISATIONS   CONFERENCES   SEMINARS   VIDEO LIBRARY   PACKAGE AMSBIB  
General information
Latest issue
Archive
Impact factor

Search papers
Search references

RSS
Latest issue
Current issues
Archive issues
What is RSS



Matem. Mod.:
Year:
Volume:
Issue:
Page:
Find






Personal entry:
Login:
Password:
Save password
Enter
Forgotten password?
Register


Matematicheskoe modelirovanie, 2004, Volume 16, Number 4, Pages 17–22 (Mi mm303)  

Polyhydroxyalkanoat synthesis by the bacteria Ralstonia eutropha in the presence of inhibitor (carbon monoxide) as a substrate component

Yu. V. Barkhatova, T. G. Volova, Yu. B. Dolgopolovaa

a Institute of Biophysics Siberian Branch of RAS
References:
Abstract: We proposed the mathematical model for polyhydroxyalkanoate synthesis by hydrogen bacteria Ralstonia eutropha on gas substrate (CO$_2$+H$_2$+O$_2$) in presence of high-toxic carbon monoxide (CO), that is component of industrial hydrogenous products such as synthesis gas, conversion gas etc. The modi represents system of differential equations. Verification of the model was carried out by experiment: data. A considerable inhibit action of CO to grown rate of R. eutropha biomass and extremely weak influence of CO to polyhydroxyalkanoate synthesis is revealed.
Received: 15.02.2002
Revised: 05.08.2003
Bibliographic databases:
Language: Russian
Citation: Yu. V. Barkhatov, T. G. Volova, Yu. B. Dolgopolova, “Polyhydroxyalkanoat synthesis by the bacteria Ralstonia eutropha in the presence of inhibitor (carbon monoxide) as a substrate component”, Matem. Mod., 16:4 (2004), 17–22
Citation in format AMSBIB
\Bibitem{BarVolDol04}
\by Yu.~V.~Barkhatov, T.~G.~Volova, Yu.~B.~Dolgopolova
\paper Polyhydroxyalkanoat synthesis by the bacteria \textit{Ralstonia eutropha} in the presence of inhibitor (carbon monoxide) as a substrate component
\jour Matem. Mod.
\yr 2004
\vol 16
\issue 4
\pages 17--22
\mathnet{http://mi.mathnet.ru/mm303}
\zmath{https://zbmath.org/?q=an:1046.82526}
Linking options:
  • https://www.mathnet.ru/eng/mm303
  • https://www.mathnet.ru/eng/mm/v16/i4/p17
  • Citing articles in Google Scholar: Russian citations, English citations
    Related articles in Google Scholar: Russian articles, English articles
    Математическое моделирование
    Statistics & downloads:
    Abstract page:767
    Full-text PDF :225
    References:62
    First page:1
     
      Contact us:
     Terms of Use  Registration to the website  Logotypes © Steklov Mathematical Institute RAS, 2024