Modeling N2O production by ammonia oxidizing bacteria at varying inorganic carbon concentrations by coupling the catabolic and anabolic processes
Research output: Journal Publications and Reviews › RGC 21 - Publication in refereed journal › peer-review
Author(s)
Detail(s)
Original language | English |
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Pages (from-to) | 386-394 |
Journal / Publication | Chemical Engineering Science |
Volume | 144 |
Publication status | Published - 22 Apr 2016 |
Externally published | Yes |
Link(s)
Abstract
Several mathematical models have been proposed to describe nitrous oxide (N2O) production by ammonia oxidizing bacteria (AOB) under varying operational conditions. However, none of these N2O models are able to capture N2O dynamics caused by the variation of inorganic carbon (IC) concentration, which has recently been demonstrated to be a significant factor influencing N2O production by AOB. In this work, a mathematical model that describes the effect of IC on N2O production by AOB is developed and experimentally validated. The IC effect is considered by explicitly including the AOB anabolic process in the model, which is coupled to the catabolic process with the use of the Adenosine triphosphate (ATP) and Adenosine diphosphate (ADP) pools. The calibration and validation of the model were conducted using experimental data obtained with two independent cultures, including a full nitrification culture and a partial nitritation culture. The model satisfactorily describes the N2O data from both systems at varying IC concentrations. This new model enhances our ability to predict N2O production by AOB in wastewater treatment systems under varying IC conditions. © 2016 Elsevier Ltd.
Research Area(s)
- Ammonia oxidizing bacteria, Anabolic and catabolic process, ATP and ADP pools, Inorganic carbon, Mathematical model, Nitrous oxide
Bibliographic Note
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Citation Format(s)
Modeling N2O production by ammonia oxidizing bacteria at varying inorganic carbon concentrations by coupling the catabolic and anabolic processes. / Peng, Lai; Ni, Bing-Jie; Law, Yingyu et al.
In: Chemical Engineering Science, Vol. 144, 22.04.2016, p. 386-394.
In: Chemical Engineering Science, Vol. 144, 22.04.2016, p. 386-394.
Research output: Journal Publications and Reviews › RGC 21 - Publication in refereed journal › peer-review