Comparison of optimization algorithms for modeling of Haldane-type growth kinetics during phenol and benzene degradation

Authors
Kang, Su-YounLee, Sang-GilKim, Dong-JuShin, JaeminKim, JunseokLee, SoonjaeChoi, Jae-Woo
Issue Date
2016-02
Publisher
ELSEVIER
Citation
BIOCHEMICAL ENGINEERING JOURNAL, v.106, pp.118 - 124
Abstract
In this study, three optimization algorithms (discretized domain, Monte Carlo, steepest descent) were compared to determine the best algorithm for estimation of Haldane-type microbial growth kinetic parameters. Application of these algorithms to growth data measured during phenol and benzene degradation showed different results in the estimated parameters obtained under various boundary conditions and growth phases. Regardless of the specific algorithm used, the factor with the greatest influence on parameter estimation was the boundary condition for the half-saturation constant (K-S), although the parameters were also sensitive to the growth phase for phenol. Among the three algorithms, Monte Carlo was found to be the best and most consistent. The estimated parameters of phenol and benzene using an appropriate boundary value of K-S were comparable with the outputs reported in previous studies, but those derived with inappropriate boundary values were not consistent with previously reported data. (c) 2015 Elsevier B.V. All rights reserved.
Keywords
PSEUDOMONAS-PUTIDA; BIODEGRADATION KINETICS; TOLUENE; SUBSTRATE; CARBON; SINGLE; Modeling; Optimization; Kinetic parameters; Growth kinetics; Microbial growth; Phenol; Benzene
ISSN
1369-703X
URI
https://pubs.kist.re.kr/handle/201004/124472
DOI
10.1016/j.bej.2015.11.012
Appears in Collections:
KIST Article > 2016
Files in This Item:
There are no files associated with this item.
Export
RIS (EndNote)
XLS (Excel)
XML

qrcode

Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.

BROWSE