Simulation for microbial depolymerization processes of polyethylene glycol

Masaji Watanabe, Fusako Kawai

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Numerical techniques are applied to a set of experimental data to study depolymerization process of xenobiotic polymers. The molecular factor of the degradation rate is obtained numerically from the weight distribution before and after cultivation of microorganisms. The temporal factor of the degradation rate corresponds to the microbial population, and its essential parameters are determined numerically. The transition of the weight distribution is simulated by solving an initial value problem numerically. Numerical results are obtained for a microbial depolymerization process of polyethylene glycol.

Original languageEnglish
Title of host publicationAdvances in Intelligent Systems
PublisherWITPress
Pages97-107
Number of pages11
ISBN (Print)9781845648695
DOIs
Publication statusPublished - Jan 1 2014
Event2013 International Conference on Advances in Intelligent Systems in Bioinformatics, Chem-Informatics, Business Intelligence, Social Media and Cybernetics, IntelSys 2013 - Jakarta, Indonesia
Duration: Oct 11 2013Oct 12 2013

Publication series

NameWIT Transactions on Information and Communication Technologies
Volume53
ISSN (Print)1743-3517

Other

Other2013 International Conference on Advances in Intelligent Systems in Bioinformatics, Chem-Informatics, Business Intelligence, Social Media and Cybernetics, IntelSys 2013
CountryIndonesia
CityJakarta
Period10/11/1310/12/13

Keywords

  • Biodegradation
  • Mathematical model
  • Numerical simulation
  • Polyethylene glycol
  • Polymers

ASJC Scopus subject areas

  • Management Information Systems
  • Computer Science(all)

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  • Cite this

    Watanabe, M., & Kawai, F. (2014). Simulation for microbial depolymerization processes of polyethylene glycol. In Advances in Intelligent Systems (pp. 97-107). (WIT Transactions on Information and Communication Technologies; Vol. 53). WITPress. https://doi.org/10.2495/Intelsys130111