Modeling N<inf>2</inf>O production by ammonia oxidizing bacteria at varying inorganic carbon concentrations by coupling the catabolic and anabolic processes

Peng, L; Ni, BJ; Law, Y; Yuan, Z

Modeling N<inf>2</inf>O production by ammonia oxidizing bacteria at varying inorganic carbon concentrations by coupling the catabolic and anabolic processes

Peng, L Ni, BJ Law, Y Yuan, Z

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Publisher:: PERGAMON-ELSEVIER SCIENCE LTD
Publication Type:: Journal Article
Citation:: Chemical Engineering Science, 2016, 144, pp. 386-394
Issue Date:: 2016-04-22

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Field	Value	Language
dc.contributor.author	Peng, L
dc.contributor.author	Ni, BJ
dc.contributor.author	Law, Y
dc.contributor.author	Yuan, Z
dc.date.accessioned	2022-07-19T23:00:35Z
dc.date.available	2022-07-19T23:00:35Z
dc.date.issued	2016-04-22
dc.identifier.citation	Chemical Engineering Science, 2016, 144, pp. 386-394
dc.identifier.issn	0009-2509
dc.identifier.issn	1873-4405
dc.identifier.uri	http://hdl.handle.net/10453/159043
dc.description.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.
dc.language	English
dc.publisher	PERGAMON-ELSEVIER SCIENCE LTD
dc.relation	http://purl.org/au-research/grants/arc/DE130100451
dc.relation.ispartof	Chemical Engineering Science
dc.relation.isbasedon	10.1016/j.ces.2016.01.033
dc.rights	info:eu-repo/semantics/closedAccess
dc.subject	0904 Chemical Engineering, 0913 Mechanical Engineering, 0914 Resources Engineering and Extractive Metallurgy
dc.subject.classification	Chemical Engineering
dc.title	Modeling N<inf>2</inf>O production by ammonia oxidizing bacteria at varying inorganic carbon concentrations by coupling the catabolic and anabolic processes
dc.type	Journal Article
utslib.citation.volume	144
utslib.for	0904 Chemical Engineering
utslib.for	0913 Mechanical Engineering
utslib.for	0914 Resources Engineering and Extractive Metallurgy
pubs.organisational-group	/University of Technology Sydney
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology/School of Civil and Environmental Engineering
pubs.organisational-group	/University of Technology Sydney/Strength - CTWW - Centre for Technology in Water and Wastewater Treatment
utslib.copyright.status	closed_access	*
dc.date.updated	2022-07-19T23:00:33Z
pubs.publication-status	Published
pubs.volume	144

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.

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http://hdl.handle.net/10453/159043