Computational study of bacterial depolymerization process of xenobiotic polymer

Masaji Watanabe; Fusako Kawai

doi:10.1051/matecconf/201818902007

Computational study of bacterial depolymerization process of xenobiotic polymer

Masaji Watanabe, Fusako Kawai

Research output: Contribution to journal › Conference article › peer-review

Abstract

This study shows an efficient applicability of computational techniques to analyses of microbial depolymerisation process. Microorganisms were cultivated in a culture media in which a polymer was a sole carbon source, and weight distributions before and after cultivation were introduced into inverse analysis for a molecular factor and a time factor of a degradation rate. An inverse problem for two parameter values associated with the time factor was solved numerically. Once the molecular factor and the time factor were given, microbial depolymerization process was simulated.

Original language	English
Article number	02007
Journal	MATEC Web of Conferences
Volume	189
DOIs	https://doi.org/10.1051/matecconf/201818902007
Publication status	Published - Aug 10 2018
Event	2nd International Conference on Material Engineering and Advanced Manufacturing Technology, MEAMT 2018 - Beijing, China Duration: May 25 2018 → May 27 2018

ASJC Scopus subject areas

Chemistry(all)
Materials Science(all)
Engineering(all)

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10.1051/matecconf/201818902007

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title = "Computational study of bacterial depolymerization process of xenobiotic polymer",

abstract = "This study shows an efficient applicability of computational techniques to analyses of microbial depolymerisation process. Microorganisms were cultivated in a culture media in which a polymer was a sole carbon source, and weight distributions before and after cultivation were introduced into inverse analysis for a molecular factor and a time factor of a degradation rate. An inverse problem for two parameter values associated with the time factor was solved numerically. Once the molecular factor and the time factor were given, microbial depolymerization process was simulated.",

author = "Masaji Watanabe and Fusako Kawai",

note = "Funding Information: The authors thank Ms. <. Shimizu for her technical support. This work was supported by JSPS KAKEN+I Grant Number 16K05276. Publisher Copyright: {\textcopyright} 2018 The Authors, published by EDP Sciences.; 2nd International Conference on Material Engineering and Advanced Manufacturing Technology, MEAMT 2018 ; Conference date: 25-05-2018 Through 27-05-2018",

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T1 - Computational study of bacterial depolymerization process of xenobiotic polymer

AU - Watanabe, Masaji

AU - Kawai, Fusako

N1 - Funding Information: The authors thank Ms. <. Shimizu for her technical support. This work was supported by JSPS KAKEN+I Grant Number 16K05276. Publisher Copyright: © 2018 The Authors, published by EDP Sciences.

PY - 2018/8/10

Y1 - 2018/8/10

N2 - This study shows an efficient applicability of computational techniques to analyses of microbial depolymerisation process. Microorganisms were cultivated in a culture media in which a polymer was a sole carbon source, and weight distributions before and after cultivation were introduced into inverse analysis for a molecular factor and a time factor of a degradation rate. An inverse problem for two parameter values associated with the time factor was solved numerically. Once the molecular factor and the time factor were given, microbial depolymerization process was simulated.

AB - This study shows an efficient applicability of computational techniques to analyses of microbial depolymerisation process. Microorganisms were cultivated in a culture media in which a polymer was a sole carbon source, and weight distributions before and after cultivation were introduced into inverse analysis for a molecular factor and a time factor of a degradation rate. An inverse problem for two parameter values associated with the time factor was solved numerically. Once the molecular factor and the time factor were given, microbial depolymerization process was simulated.

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U2 - 10.1051/matecconf/201818902007

DO - 10.1051/matecconf/201818902007

M3 - Conference article

AN - SCOPUS:85053151584

SN - 2261-236X

VL - 189

JO - MATEC Web of Conferences

JF - MATEC Web of Conferences

M1 - 02007

T2 - 2nd International Conference on Material Engineering and Advanced Manufacturing Technology, MEAMT 2018

Y2 - 25 May 2018 through 27 May 2018

ER -

Computational study of bacterial depolymerization process of xenobiotic polymer

Abstract

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