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Electrochemical studies of microbiologically influenced corrosion of X80 steel by nitrate-reducing Bacillus licheniformis under anaerobic conditions 被引量:4
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作者 Jun Li Cuiwei Du +1 位作者 Zhiyong Liu Xiaogang Li 《Journal of Materials Science & Technology》 SCIE EI CAS CSCD 2022年第23期208-217,共10页
In this work, the impact of a wild-type nitrate-reducing Bacillus licheniformis strain on the corrosion behavior of X80 steel under anaerobic conditions was studied by electrochemical tests and biofilm characterizatio... In this work, the impact of a wild-type nitrate-reducing Bacillus licheniformis strain on the corrosion behavior of X80 steel under anaerobic conditions was studied by electrochemical tests and biofilm characterization. The bioelectrochemical, electrochemical, and chemical reactions between X80 steel and microorganisms were investigated comprehensively. The results show that B. licheniformis can accelerate the corrosion of X80 steel substrate in early immersing by two ways: biocatalytic cathodic nitrate reduction and acidification induced by bacterially-secreted acids. However, the corrosion rate of X80 steel decreased after immersing for ca. 1 week in B. licheniformis culture due to iron biomineralization. This work provides direct insights into the mechanism of microbiologically influenced corrosion of carbon steel by the nitrate-reducing bacterium. 展开更多
关键词 Microbiologically influenced corrosion X80 steel nitrate-reducing bacteria Electrochemical tests Biofilm characterization
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Characterization of bacterial community and iron corrosion in drinking water distribution systems with O3-biological activated carbon treatment 被引量:7
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作者 Xueci Xing Haibo Wang +1 位作者 Chun Hu Lizhong Liu 《Journal of Environmental Sciences》 SCIE EI CAS CSCD 2018年第7期192-204,共13页
Bacterial community structure and iron corrosion were investigated for simulated drinking water distribution systems(DWDSs) composed of annular reactors incorporating three different treatments: ozone, biologically... Bacterial community structure and iron corrosion were investigated for simulated drinking water distribution systems(DWDSs) composed of annular reactors incorporating three different treatments: ozone, biologically activated carbon and chlorination(O3-BAC-Cl2);ozone and chlorination(O3-Cl2); or chlorination alone(Cl2). The lowest corrosion rate and iron release, along with more Fe3O4 formation, occurred in DWDSs with O3-BAC-Cl2 compared to those without a BAC filter. It was verified that O3-BAC influenced the bacterial community greatly to promote the relative advantage of nitrate-reducing bacteria(NRB)in DWDSs. Moreover, the advantaged NRB induced active Fe(III) reduction coupled to Fe(II) oxidation, enhancing Fe3O4 formation and inhibiting corrosion. In addition, O3-BAC pretreatment could reduce high-molecular-weight fractions of dissolved organic carbon effectively to promote iron particle aggregation and inhibit further iron release. Our findings indicated that the O3-BAC treatment, besides removing organic pollutants in water, was also a good approach for controlling cast iron corrosion and iron release in DWDSs. 展开更多
关键词 Bacterial community nitrate-reducing bacteria(NRB) O3-biological activated carbon(O3-BAC) Drinking water distribution systems (DWDSs) Corrosion inhibition Iron release
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Microbial diversity and functionally distinct groups in produced water from the Daqing Oilfield,China 被引量:3
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作者 Li Hui Ai Mingqiang +8 位作者 Han Siqin Guo Yanling Li Nana Shi Rongjiu Zeng Xiangling Leng Shengbing Zhao Jinyi Liu Xiaobo Zhang Ying 《Petroleum Science》 SCIE CAS CSCD 2012年第4期469-484,共16页
The microbial community structure and functionally distinct groups in three kinds of produced water samples from the shallow,mesothermic and low-salinity Daqing oil reservoir were systematically evaluated using both c... The microbial community structure and functionally distinct groups in three kinds of produced water samples from the shallow,mesothermic and low-salinity Daqing oil reservoir were systematically evaluated using both culture-dependent and culture-independent methods.Sequence analysis of the 16S rRNA genes indicated that the bacterial library was dominated by Acinetobacter and Arcobacter and the archaeal community was dominated by Methanosaeta and Methanolinea.Two isolated methanogens were closely related with Methanothermobacter thermautotrophicus and Methanoculleus receptaculi.The fermentative bacteria were identified as Pseudomonas,Haloanaerobium,Alcalibacter,Arcobacter,and Pannonibacter.The predominant nitrate-reducing bacteria fell within the genus Pseudomonas.The dominant members of the cultured hydrocarbon-oxidizing bacteria were phylogenetically associated with Micrococcus,Pseudomonas,and Bacillus.Enrichments of biosurfactants and biopolymer producing groups mainly yielded Pseudomonas,Bacillus,and Acenitobacter-related members.The functional groups related to polymer degradation were also affiliated with Pseudomonas and Bacillus.Results from this study provide the fresh insight into the diversity of microbial communities in Daqing petroleum reservoirs.The vast pool of functional strains retrieved in this study was presumed to include the promising strains that could be applied in microbial-enhanced oil recovery in future. 展开更多
关键词 Petroleum microbiology 16S rRNA gene diversity METHANOGENS bio-surfactants producing bacteria biopolymer-producing bacteria nitrate-reducing bacteria
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Interpreting microbiologically influenced stress corrosion with machine learning and theoretical analysis
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作者 Bo Liu Boxin Wei +1 位作者 Cuiwei Du Xiaogang Li 《Corrosion Communications》 2025年第2期19-27,共9页
Numerous tests have demonstrated the impact of microbiologically influenced stress corrosion(MISC)on oil and gas pipelines,but the dynamic corrosion process and its influencing variables remain unclear.In this paper,t... Numerous tests have demonstrated the impact of microbiologically influenced stress corrosion(MISC)on oil and gas pipelines,but the dynamic corrosion process and its influencing variables remain unclear.In this paper,through material and environment data collection,we analyzed the important factors to MISC based on the random forest model,which were quantity of bacteria,kernel average misorientation and prior austenite grain boundary of the material.Based on this,theoretical explanation of stress and nitrate-reducing bacteria promoting stress corrosion cracking was provided.Results of this study will serve to gain further knowledge of MISC and guide future protection efforts. 展开更多
关键词 Microbiologically influenced corrosion Stress corrosion Machine learning Sensitivity analyses nitrate-reducing bacteria
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