Microbial internal storage alters the carbon transformation in dynamic anaerobic fermentation

Ni, Bing-Jie, Batstone, Damien, Zhao, Bai-Hang and Yu, Han-Qing (2015) Microbial internal storage alters the carbon transformation in dynamic anaerobic fermentation. Environmental Science and Technology, 49 15: 9159-9167. doi:10.1021/acs.est.5b01855

Author Ni, Bing-Jie
Batstone, Damien
Zhao, Bai-Hang
Yu, Han-Qing
Title Microbial internal storage alters the carbon transformation in dynamic anaerobic fermentation
Journal name Environmental Science and Technology   Check publisher's open access policy
ISSN 1520-5851
Publication date 2015-08-04
Sub-type Article (original research)
DOI 10.1021/acs.est.5b01855
Open Access Status Not Open Access
Volume 49
Issue 15
Start page 9159
End page 9167
Total pages 9
Place of publication Washington, DC, United States
Publisher American Chemical Society
Collection year 2016
Language eng
Abstract Microbial internal storage processes have been demonstrated to occur and play an important role in activated sludge systems under both aerobic and anoxic conditions when operating under dynamic conditions. High-rate anaerobic reactors are often operated at a high volumetric organic loading and a relatively dynamic profile, with large amounts of fermentable substrates. These dynamic operating conditions and high catabolic energy availability might also facilitate the formation of internal storage polymers by anaerobic microorganisms. However, so far information about storage under anaerobic conditions (e.g., anaerobic fermentation) as well as its consideration in anaerobic process modeling (e.g., IWA Anaerobic Digestion Model No. 1, ADM1) is still sparse. In this work, the accumulation of storage polymers during anaerobic fermentation was evaluated by batch experiments using anaerobic methanogenic sludge and based on mass balance analysis of carbon transformation. A new mathematical model was developed to describe microbial storage in anaerobic systems. The model was calibrated and validated by using independent data sets from two different anaerobic systems, with significant storage observed, and effectively simulated in both systems. The inclusion of the new anaerobic storage processes in the developed model allows for more successful simulation of transients due to lower accumulation of volatile fatty acids (correction for the overestimation of volatile fatty acids), which mitigates pH fluctuations. Current models such as the ADM1 cannot effectively simulate these dynamics due to a lack of anaerobic storage mechanisms.
Keyword Microbial storage
Anaerobic fermentation
Storage polymers
Q-Index Code C1
Q-Index Status Confirmed Code
Institutional Status UQ

Document type: Journal Article
Sub-type: Article (original research)
Collections: Official 2016 Collection
Advanced Water Management Centre Publications
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