Literature DB >> 18623482

A metabolic model of the biological phosphorus removal process: I. Effect of the sludge retention time.

G J Smolders1, J M Klop, M C van Loosdrecht, J J Heijnen.   

Abstract

The biological phosphorus removal process is a process which depends basically on three internal storage compounds. Poly-beta-hydroxybutyrate (PHB) produced during the anaerobic phase is used as substrate for biomass, polyphosphate, and glycogen formation. The reaction rates of the aerobic processes are primarily determined by the PHB content of the cells. This PHB content is highly dynamic due to the conversions during the anaerobic and aerobic phase of the cycle and the ratio between substrate addition and biomass present in the reactor. The amount of biomass present in the reactor is determined by the sludge retention time and growth rate. A metabolic model of the biological phosphorus removal process was developed and verified over a wide range of growth rates. The effect of different growth rates on the internal fractions of stored components was determined and described mathematically. One set of kinetic parameters was capable of describing the measured conversions of all components observed in the reactor as a function of the sludge retention time.

Entities:  

Year:  1995        PMID: 18623482     DOI: 10.1002/bit.260480309

Source DB:  PubMed          Journal:  Biotechnol Bioeng        ISSN: 0006-3592            Impact factor:   4.530


  2 in total

1.  Revealing the Metabolic Flexibility of "Candidatus Accumulibacter phosphatis" through Redox Cofactor Analysis and Metabolic Network Modeling.

Authors:  Leonor Guedes da Silva; Karel Olavarria Gamez; Joana Castro Gomes; Kasper Akkermans; Laurens Welles; Ben Abbas; Mark C M van Loosdrecht; Sebastian Aljoscha Wahl
Journal:  Appl Environ Microbiol       Date:  2020-11-24       Impact factor: 4.792

2.  Recovery of stored aerobic granular sludge and its contaminants removal efficiency under different operation conditions.

Authors:  Zhiwei Zhao; Shuo Wang; Wenxin Shi; Ji Li
Journal:  Biomed Res Int       Date:  2013-09-11       Impact factor: 3.411

  2 in total

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