Literature DB >> 17948787

Multi-scale individual-based model of microbial and bioconversion dynamics in aerobic granular sludge.

Joao B Xavier1, Merle K De Kreuk, Cristian Picioreanu, Mark C M Van Loosdrecht.   

Abstract

Aerobic granular sludge is a novel compact biological wastewater treatment technology for integrated removal of COD (chemical oxygen demand), nitrogen, and phosphate charges. We present here a multiscale model of aerobic granular sludge sequencing batch reactors (GSBR) describing the complex dynamics of populations and nutrient removal. The macro scale describes bulk concentrations and effluent composition in six solutes (oxygen, acetate, ammonium, nitrite, nitrate, and phosphate). A finer scale, the scale of one granule (1.1 mm of diameter), describes the two-dimensional spatial arrangement of four bacterial groups--heterotrophs, ammonium oxidizers, nitrite oxidizers, and phosphate accumulating organisms (PAO)--using individual based modeling (IbM) with species-specific kinetic models. The model for PAO includes three internal storage compounds: polyhydroxyalkanoates (PHA), poly phosphate, and glycogen. Simulations of long-term reactor operation show how the microbial population and activity depends on the operating conditions. Short-term dynamics of solute bulk concentrations are also generated with results comparable to experimental data from lab scale reactors. Our results suggest that N-removal in GSBR occurs mostly via alternating nitrification/denitrification rather than simultaneous nitrification/denitrification, supporting an alternative strategy to improve N-removal in this promising wastewater treatment process.

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Year:  2007        PMID: 17948787     DOI: 10.1021/es070264m

Source DB:  PubMed          Journal:  Environ Sci Technol        ISSN: 0013-936X            Impact factor:   9.028


  20 in total

1.  Spatial aspects in biological system simulations.

Authors:  Haluk Resat; Michelle N Costa; Harish Shankaran
Journal:  Methods Enzymol       Date:  2011       Impact factor: 1.600

Review 2.  Continuum and discrete approach in modeling biofilm development and structure: a review.

Authors:  M R Mattei; L Frunzo; B D'Acunto; Y Pechaud; F Pirozzi; G Esposito
Journal:  J Math Biol       Date:  2017-07-24       Impact factor: 2.259

3.  Correlation analysis of major control factors for the formation and stabilization of aerobic granule.

Authors:  Liang Zhu; Xin Dai; Meile Lv; Xiangyang Xu
Journal:  Environ Sci Pollut Res Int       Date:  2012-10-07       Impact factor: 4.223

Review 4.  Cutting through the complexity of cell collectives.

Authors:  Carey D Nadell; Vanni Bucci; Knut Drescher; Simon A Levin; Bonnie L Bassler; João B Xavier
Journal:  Proc Biol Sci       Date:  2013-01-30       Impact factor: 5.349

5.  Aerobic granules: microbial landscape and architecture, stages, and practical implications.

Authors:  Graciela Gonzalez-Gil; Christof Holliger
Journal:  Appl Environ Microbiol       Date:  2014-03-21       Impact factor: 4.792

6.  Variable cell morphology approach for individual-based modeling of microbial communities.

Authors:  Tomas Storck; Cristian Picioreanu; Bernardino Virdis; Damien J Batstone
Journal:  Biophys J       Date:  2014-05-06       Impact factor: 4.033

7.  Microbial and physicochemical characteristics of compact anaerobic ammonium-oxidizing granules in an upflow anaerobic sludge blanket reactor.

Authors:  Bing-Jie Ni; Bao-Lan Hu; Fang Fang; Wen-Ming Xie; Boran Kartal; Xian-Wei Liu; Guo-Ping Sheng; Mike Jetten; Ping Zheng; Han-Qing Yu
Journal:  Appl Environ Microbiol       Date:  2010-02-26       Impact factor: 4.792

8.  Social evolution in multispecies biofilms.

Authors:  Sara Mitri; João B Xavier; Kevin R Foster
Journal:  Proc Natl Acad Sci U S A       Date:  2011-06-20       Impact factor: 11.205

9.  Emergence of spatial structure in cell groups and the evolution of cooperation.

Authors:  Carey D Nadell; Kevin R Foster; João B Xavier
Journal:  PLoS Comput Biol       Date:  2010-03-19       Impact factor: 4.475

Review 10.  Towards predictive models of the human gut microbiome.

Authors:  Vanni Bucci; Joao B Xavier
Journal:  J Mol Biol       Date:  2014-04-12       Impact factor: 5.469

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