TY - JOUR
T1 - Computational analysis for biodegradation of exogenously depolymerizable polymer
AU - Watanabe, M.
AU - Kawai, F.
N1 - Funding Information:
The authors thank Dr. K. Yamamoto for his technical support. KAKENHI Grant Number 16K05276.
Funding Information:
This work was supported by JSPS
PY - 2018/4/6
Y1 - 2018/4/6
N2 - This study shows that microbial growth and decay in a biodegradation process of exogenously depolymerizable polymer are controlled by consumption of monomer units. Experimental outcomes for residual polymer were incorporated in inverse analysis for a degradation rate. The Gauss-Newton method was applied to an inverse problem for two parameter values associated with the microbial population. A biodegradation process of polyethylene glycol was analyzed numerically, and numerical outcomes were obtained.
AB - This study shows that microbial growth and decay in a biodegradation process of exogenously depolymerizable polymer are controlled by consumption of monomer units. Experimental outcomes for residual polymer were incorporated in inverse analysis for a degradation rate. The Gauss-Newton method was applied to an inverse problem for two parameter values associated with the microbial population. A biodegradation process of polyethylene glycol was analyzed numerically, and numerical outcomes were obtained.
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U2 - 10.1088/1757-899X/324/1/012015
DO - 10.1088/1757-899X/324/1/012015
M3 - Conference article
AN - SCOPUS:85046262911
VL - 324
JO - IOP Conference Series: Materials Science and Engineering
JF - IOP Conference Series: Materials Science and Engineering
SN - 1757-8981
IS - 1
M1 - 012015
T2 - 2017 5th International Conference on Mechanical Engineering, Materials Science and Civil Engineering, ICMEMSCE 2017
Y2 - 15 December 2017 through 16 December 2017
ER -