Literature DB >> 16758460

Kinetics of pure cultures of hydrogen-oxidizing denitrifying bacteria and modeling of the interactions among them in mixed cultures.

I A Vasiliadou1, S Siozios, I T Papadas, K Bourtzis, S Pavlou, D V Vayenas.   

Abstract

In this study we report the isolation of four denitrifying bacteria from a batch reactor, where the progress of hydrogenotrophic denitrification was examined. Only three of the strains had the ability to use hydrogen as electron donor. In the present work, kinetic batch experiments were carried out in order to study the dynamic characteristics of pure and defined mixed cultures of hydrogen-oxidizing denitrifying bacteria, under anoxic conditions, in a defined synthetic medium, in the presence of nitrates. Kinetic models were developed and the kinetic parameters were determined from the batch experiments for each bacterium separately. The behavior of mixed cultures and the interactions between the bacteria were described using kinetic models based on the kinetic models developed for each bacterium separately and their predictions were compared with the results from mixed culture experiments. The mathematical models that were developed and validated in the present work are capable of describing the behavior of the bacteria in pure and mixed cultures, and in particular, the kinetics of nitrate and nitrite reduction and cell growth.

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Year:  2006        PMID: 16758460     DOI: 10.1002/bit.21031

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


  9 in total

1.  Influence of external resistance on electrogenesis, methanogenesis, and anode prokaryotic communities in microbial fuel cells.

Authors:  Sokhee Jung; John M Regan
Journal:  Appl Environ Microbiol       Date:  2010-11-12       Impact factor: 4.792

2.  Molecular characterization and in situ quantification of anoxic arsenite-oxidizing denitrifying enrichment cultures.

Authors:  Wenjie Sun; Reyes Sierra-Alvarez; Nuria Fernandez; Jose Luis Sanz; Ricardo Amils; Antje Legatzki; Raina M Maier; Jim A Field
Journal:  FEMS Microbiol Ecol       Date:  2009-01-23       Impact factor: 4.194

3.  Biodiversity of air-borne microorganisms at Halley Station, Antarctica.

Authors:  David A Pearce; K A Hughes; T Lachlan-Cope; S A Harangozo; A E Jones
Journal:  Extremophiles       Date:  2010-01-21       Impact factor: 2.395

4.  Characteristics of denitrification and microbial community in respect to various H2 pressures and distances to the gas supply end in H2-based MBfR.

Authors:  Haixiang Li; Ruize Sun; Xuehong Zhang; Hua Lin; Yi Xie; Yu Han; Yongxing Pan; Dunqiu Wang; Kun Dong
Journal:  Front Microbiol       Date:  2022-09-23       Impact factor: 6.064

5.  Evaluation on the Nanoscale Zero Valent Iron Based Microbial Denitrification for Nitrate Removal from Groundwater.

Authors:  Lai Peng; Yiwen Liu; Shu-Hong Gao; Xueming Chen; Pei Xin; Xiaohu Dai; Bing-Jie Ni
Journal:  Sci Rep       Date:  2015-07-22       Impact factor: 4.379

6.  Biological nitrate removal processes from drinking water supply-a review.

Authors:  Anoushiravan Mohseni-Bandpi; David Jack Elliott; Mohammad Ali Zazouli
Journal:  J Environ Health Sci Eng       Date:  2013-12-19

7.  Low probability of initiating nirS transcription explains observed gas kinetics and growth of bacteria switching from aerobic respiration to denitrification.

Authors:  Junaid Hassan; Linda L Bergaust; I David Wheat; Lars R Bakken
Journal:  PLoS Comput Biol       Date:  2014-11-06       Impact factor: 4.475

Review 8.  Influence of Hydrogen Electron Donor, Alkaline pH, and High Nitrate Concentrations on Microbial Denitrification: A Review.

Authors:  Pierre Albina; Nadège Durban; Alexandra Bertron; Achim Albrecht; Jean-Charles Robinet; Benjamin Erable
Journal:  Int J Mol Sci       Date:  2019-10-18       Impact factor: 5.923

9.  Transient Accumulation of NO2- and N2O during Denitrification Explained by Assuming Cell Diversification by Stochastic Transcription of Denitrification Genes.

Authors:  Junaid Hassan; Zhi Qu; Linda L Bergaust; Lars R Bakken
Journal:  PLoS Comput Biol       Date:  2016-01-05       Impact factor: 4.475

  9 in total

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