Effect of sludge age on population dynamics and acetate utilization kinetics under aerobic conditions

Ilke Pala-Ozkok*, Ateequr Rehman, Gokce Kor-Bicakci, Aslihan Ural, Markus B. Schilhabel, Emine Ubay-Cokgor, Daniel Jonas, Derin Orhon

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

29 Citations (Scopus)

Abstract

The study addressed acetate utilization by an acclimated mixed microbial culture under different growth conditions. It explored changes in the composition of the microbial community and variable process kinetics induced by different culture history. Sequencing batch reactors were operated at steady-state at different sludge ages of two and ten days. Microbial population structure was determined using high-throughput sequencing of 16S rRNA genes. Parallel batch experiments were conducted with acclimated biomass for respirometric analyses. A lower sludge age sustained a different community, which also reflected as variable kinetics for microbial growth and biopolymer storage. The maximum growth rate was observed to change from 3.9/d to 8.5/d and the substrate storage rate from 3.5/d to 5.9/d when the sludge age was decreased from 10. d to 2.0. d. Results challenge the basic definition of heterotrophic biomass in activated sludge models, at least by means of variable kinetics under different growth conditions.

Original languageEnglish
Pages (from-to)68-75
Number of pages8
JournalBioresource Technology
Volume143
DOIs
Publication statusPublished - Sept 2013

Funding

This study was supported by the Turkish Academy of Sciences as part of Fellowship Program for Integrated Doctoral Studies. The authors would like to thank The Scientific Research Fund of Istanbul Technical University (Project No.: 34235 and Project No.: 34117 ) and The Scientific and Technological Research Council of Turkey for their supports throughout the study.

FundersFunder number
Türkiye Bilimsel ve Teknolojik Araştirma Kurumu
Türkiye Bilimler Akademisi
Istanbul Teknik Üniversitesi34117, 34235

    Keywords

    • Acetate
    • Activated Sludge Modeling
    • Microbial population
    • Process kinetics
    • Pyrosequencing

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