A novel approach to evaluate the production kinetics of Extracellular Polymeric Substances (EPS) by activated sludge using weighted nonlinear least-squares analysis

Ni, Bing-Jie, Zeng, Raymond J., Fang, Fang, Xu, Juan, Sheng, Guo-Ping and Yu, Han-Qing (2009) A novel approach to evaluate the production kinetics of Extracellular Polymeric Substances (EPS) by activated sludge using weighted nonlinear least-squares analysis. Environmental Science and Technology, 43 10: 3743-3750. doi:10.1021/es9001289


Author Ni, Bing-Jie
Zeng, Raymond J.
Fang, Fang
Xu, Juan
Sheng, Guo-Ping
Yu, Han-Qing
Title A novel approach to evaluate the production kinetics of Extracellular Polymeric Substances (EPS) by activated sludge using weighted nonlinear least-squares analysis
Journal name Environmental Science and Technology   Check publisher's open access policy
ISSN 0013-936X
1520-5851
Publication date 2009-05-15
Sub-type Article (original research)
DOI 10.1021/es9001289
Volume 43
Issue 10
Start page 3743
End page 3750
Total pages 8
Place of publication Washington, DC, United States
Publisher American Chemical Society
Language eng
Formatted abstract
This paper develops a novel and convenient approach for evaluation of production kinetics of extracellular polymeric substances (EPS) by activated sludge. In this approach, the weighted least-squares analysis is employed to calculate approximate differences in EPS concentration between model predictions and data. An iterative search routine in the Monte Carlo method is utilized for optimization of the objective function by minimizing the sum of squared weighted errors. Application of the approach in this work shows that the fraction of substrate electrons diverted to EPS formation (kEPS) is 0.23 g CODEPS g−1 CODS with a bacterial maximum growth rate of 0.32 h−1. The obtained parameters are found to be reasonable as they are generally bounded. The validity of this approach is confirmed by both the independent EPS production tests and the EPS data reported in literature. It also corrects the overestimation of cellular production and identifies that kEPS is the key parameter in EPS production kinetics. Furthermore, this approach could estimate the kinetic parameters accurately using few data sets or even one set, which becomes very attractive for the processes where data are costly to obtain.
Q-Index Code C1
Q-Index Status Provisional Code
Institutional Status UQ

Document type: Journal Article
Sub-type: Article (original research)
Collection: Advanced Water Management Centre Publications
 
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Created: Thu, 03 Sep 2009, 18:10:08 EST by Mr Andrew Martlew on behalf of Advanced Water Management Centre