Literature DB >> 19665759

Decreasing ammonium generation using hydrogenotrophic bacteria in the process of nitrate reduction by nanoscale zero-valent iron.

Yi An1, Tielong Li, Zhaohui Jin, Meiying Dong, Qianqian Li, Shuaima Wang.   

Abstract

An integrated nitrate treatment using nanoscale zero-valent iron (NZVI) and Alcaligenes eutrophus, which is a kind of hydrogenotrophic denitrifying bacteria, was conducted to remove nitrate and decrease ammonium generation. Within 8 days, nitrate was removed completely in the reactors containing NZVI particles plus bacteria while the proportion of ammonium generated was only 33%. That is a lower reduction rate but a smaller proportion of ammonium relative to that in abiotic reactors. It was also found that ammonium generation experienced a biphasic process, involving an increasing period and a stable period. After domestication of the bacteria, the combined NZVI-cell system could remove all nitrate without ammonium released when the refreshed nitrate was introduced. Nitrate reduction and the final product distribution were also studied in batch reactors amended with different initial NZVI contents and biomass concentrations, respectively. Both the nitrate removal rate and the ammonium yield decreased when the initial content of NZVI reduced and the initial biomass concentration increased. However, about 27% of the nitrate was converted to ammonium when excess bacteria (OD(422)=0.026) were used, which was higher than that with appropriate amount of bacteria.

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Year:  2009        PMID: 19665759     DOI: 10.1016/j.scitotenv.2009.06.046

Source DB:  PubMed          Journal:  Sci Total Environ        ISSN: 0048-9697            Impact factor:   7.963


  8 in total

Review 1.  A review of the environmental implications of in situ remediation by nanoscale zero valent iron (nZVI): Behavior, transport and impacts on microbial communities.

Authors:  Emilie Lefevre; Nathan Bossa; Mark R Wiesner; Claudia K Gunsch
Journal:  Sci Total Environ       Date:  2016-02-18       Impact factor: 7.963

2.  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

3.  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

4.  Microbial nitrate removal by waste iron shavings from the biological and catalytic ozonation treated dyeing and finishing wastewater.

Authors:  Jieting Ma; Yunlu Chen; Gang Luo; Jianxin Nie; Zhigang Guo; Yan Liu; Luming Ma
Journal:  AMB Express       Date:  2017-01-03       Impact factor: 3.298

5.  Adsorption behavior and performance of ammonium onto sorghum straw biochar from water.

Authors:  Huajie Xu; Bing Wang; Ruohan Zhao; Xiangui Wang; Changbin Pan; Yuting Jiang; Xueyang Zhang; Banggui Ge
Journal:  Sci Rep       Date:  2022-03-30       Impact factor: 4.379

6.  The contributions and mechanisms of iron-microbes-biochar in constructed wetlands for nitrate removal from low carbon/nitrogen ratio wastewater.

Authors:  Jian Xu; Xiawei Liu; Jiaolong Huang; Manqi Huang; Tao Wang; Shaopan Bao; Wei Tang; Tao Fang
Journal:  RSC Adv       Date:  2020-06-17       Impact factor: 4.036

7.  Transport of nano zerovalent iron (nZVI) coupling with Alcaligenes sp. strain in porous media.

Authors:  Qing Xia; Mingzhu Huo; Peitong Hao; Junhao Zheng; Yi An
Journal:  RSC Adv       Date:  2020-06-25       Impact factor: 3.361

8.  Bacteria-supported iron scraps for the removal of nitrate from low carbon-to-nitrogen ratio wastewater.

Authors:  Xiawei Liu; Jian Xu; Jiaolong Huang; Manqi Huang; Tao Wang; Shaopan Bao; Wei Tang; Tao Fang
Journal:  RSC Adv       Date:  2019-01-25       Impact factor: 4.036

  8 in total

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