Literature DB >> 22191805

A steady-state biofilm model for simultaneous reduction of nitrate and perchlorate, part 2: parameter optimization and results and discussion.

Youneng Tang1, Heping Zhao, Andrew K Marcus, Rosa Krajmalnik-Brown, Bruce E Rittmann.   

Abstract

Part 1 of this work developed a steady-state, multispecies biofilm model for simultaneous reduction of nitrate and perchlorate in the H(2)-based membrane biofilm reactor (MBfR) and presented a novel method to solve it. In Part 2, the half-maximum-rate concentrations and inhibition coefficients of nitrate and perchlorate are optimized by fitting data from experiments with different combinations of influent nitrate and perchlorate concentrations. The model with optimized parameters is used to quantitatively and systematically explain how three important operating conditions (nitrate loading, perchlorate loading, and H(2) pressure) affect nitrate and perchlorate reduction and biomass distribution in these reducing biofilms. Perchlorate reduction and accumulation of perchlorate-reducing bacteria (PRB) in the biofilm are affected by four promotion or inhibition mechanisms: simultaneous use of nitrate and perchlorate by PRB and competition for H(2), the same resources in PRB, and space in a biofilm. For the hydrogen pressure evaluated experimentally, a low nitrate loading (<0.1 g N/m(2)-d) slightly promotes perchlorate removal, because of the beneficial effect from PRB using both acceptors. However, a nitrate loading of >0.6 g N/m(2)-d begins to inhibit perchlorate removal, as the competition effects become dominant.

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Year:  2012        PMID: 22191805     DOI: 10.1021/es203130r

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


  7 in total

1.  The effect of electron competition on chromate reduction using methane as electron donor.

Authors:  Pan-Long Lv; Liang Zhong; Qiu-Yi Dong; Shi-Lei Yang; Wei-Wei Shen; Quan-Song Zhu; Chun-Yu Lai; An-Cheng Luo; Youneng Tang; He-Ping Zhao
Journal:  Environ Sci Pollut Res Int       Date:  2017-12-19       Impact factor: 4.223

2.  Effects of salinity on simultaneous reduction of perchlorate and nitrate in a methane-based membrane biofilm reactor.

Authors:  Yin Zhang; Jia-Xian Chen; Li-Lian Wen; Youneng Tang; He-Ping Zhao
Journal:  Environ Sci Pollut Res Int       Date:  2016-09-20       Impact factor: 4.223

3.  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

4.  Utilizing a one-dimensional multispecies model to simulate the nutrient reduction and biomass structure in two types of H2-based membrane-aeration biofilm reactors (H2-MBfR): model development and parametric analysis.

Authors:  Zuowei Wang; Siqing Xia; Xiaoyin Xu; Chenhui Wang
Journal:  Environ Sci Pollut Res Int       Date:  2015-10-21       Impact factor: 4.223

5.  Evolution of the microbial community of the biofilm in a methane-based membrane biofilm reactor reducing multiple electron acceptors.

Authors:  Ran Chen; Yi-Hao Luo; Jia-Xian Chen; Yin Zhang; Li-Lian Wen; Ling-Dong Shi; Youneng Tang; Bruce E Rittmann; Ping Zheng; He-Ping Zhao
Journal:  Environ Sci Pollut Res Int       Date:  2016-02-03       Impact factor: 4.223

6.  Model Evaluation of the Microbial Metabolic Processes in a Hydrogen-Based Membrane Biofilm Reactor for Simultaneous Bromate and Nitrate Reduction.

Authors:  Minmin Jiang; Yuanyuan Zhang; Jie Zhang; Xingru Dai; Haixiang Li; Xuehong Zhang; Zhichao Wu; Junjian Zheng
Journal:  Membranes (Basel)       Date:  2022-08-11

Review 7.  Hydrogenotrophic Microbial Reduction of Oxyanions With the Membrane Biofilm Reactor.

Authors:  Chen Zhou; Aura Ontiveros-Valencia; Robert Nerenberg; Youneng Tang; David Friese; Rosa Krajmalnik-Brown; Bruce E Rittmann
Journal:  Front Microbiol       Date:  2019-01-10       Impact factor: 5.640

  7 in total

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