Study on biodegradation process of polyethylene glycol with exponential glowth of microbial population

Masaji Watanabe, Fusako Kawai

Research output: Chapter in Book/Report/Conference proceedingChapter

2 Citations (Scopus)

Abstract

Biodegradation of polyethylene glycol is studied mathematically. A mathematical model for depolymerization process of exogenous type is described. When a degradation rate is a product of a time factor and a molecular factor, a time dependent model can be transformed into a time independent model, and techniques developed in previous studies can be applied to the time independent model to determine the molecular factor. The time factor can be determined assuming the exponential growth of the microbial population. Those techniques are described, and numerical results are presented. A comparison between a numerical result and an experimental result shows that the mathematical method is appropriate for practical applications.

Original languageEnglish
Title of host publicationBiomedical Engineering Systems and Technologies
Subtitle of host publicationInternational Joint Conference, BIOSTEC 2009 Porto, Portugal, January 14-17, 2009, Revised Selected Papers
EditorsAna Fred, Hugo Gamboa, Joaquim Filipe
Pages145-157
Number of pages13
DOIs
Publication statusPublished - Apr 8 2010

Publication series

NameCommunications in Computer and Information Science
Volume52
ISSN (Print)1865-0929

Keywords

  • Biodegradation
  • Mathematical modeling
  • Numerical simulation
  • Polyethylene Glycol

ASJC Scopus subject areas

  • Computer Science(all)
  • Mathematics(all)

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  • Cite this

    Watanabe, M., & Kawai, F. (2010). Study on biodegradation process of polyethylene glycol with exponential glowth of microbial population. In A. Fred, H. Gamboa, & J. Filipe (Eds.), Biomedical Engineering Systems and Technologies: International Joint Conference, BIOSTEC 2009 Porto, Portugal, January 14-17, 2009, Revised Selected Papers (pp. 145-157). (Communications in Computer and Information Science; Vol. 52). https://doi.org/10.1007/978-3-642-11721-3_11