Literature DB >> 22426089

An explicit expression for determining cometabolism kinetics using progress curve analysis.

Chetan T Goudar1.   

Abstract

We present an explicit expression for describing the kinetics of cometabolic biotransformation of environmental pollutants. This expression is based on the Lambert W function and explicitly relates the substrate concentration, S, to time, t, the two experimentally measured variables. This explicit relationship simplifies kinetic parameter estimation as differential equation solution and iterative estimation of the substrate concentration are eliminated. The applicability of this new expression for nonlinear kinetic parameter estimation was first demonstrated using noise containing synthetic data where final estimates of the kinetic parameters were very close to their actual values. Subsequently 1.1.1-trichloroethane degradation data at initial concentrations of 750 and 375 μM were described using the explicit expression resulting in r and K(s) estimates of 0.26 μM/mg d and 28.08 μM and 0.30 μM/mg d and 28.70 μM, respectively, very similar to 0.276 μM/mg d and 31.2 μM, respectively, that were reported in the original study. The new explicit expression presented in this study simplifies estimation of cometabolic kinetic parameters and can be easily used across all computational platforms thereby providing an attractive alternative for progress curve analysis.
Copyright © 2012 Elsevier B.V. All rights reserved.

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Year:  2012        PMID: 22426089     DOI: 10.1016/j.jbiotec.2012.02.009

Source DB:  PubMed          Journal:  J Biotechnol        ISSN: 0168-1656            Impact factor:   3.307


  2 in total

1.  High-performance liquid chromatography-based method to evaluate kinetics of glucosinolate hydrolysis by Sinapis alba myrosinase.

Authors:  Kayla J Vastenhout; Ruthellen H Tornberg; Amanda L Johnson; Michael W Amolins; Jared R Mays
Journal:  Anal Biochem       Date:  2014-07-25       Impact factor: 3.365

2.  Co-metabolism kinetics and electrogenesis change during cyanide degradation in a microbial fuel cell.

Authors:  Hao Wu; Ya-Li Feng; Hao-Ran Li; Hong-Jun Wang; Jun-Jie Wang
Journal:  RSC Adv       Date:  2018-12-04       Impact factor: 4.036

  2 in total

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