Temperature dependence of sequential chlorinated ethenes dechlorination and the dynamics of dechlorinating microorganisms

Yamazaki, Y.; Kitamura, Gaku; Tian, Xiaowei; Suzuki, Ichirô; Kobayashi, Takeshi; Shimizu, Tetsuo; Inoue, Daisuke; Ike, Michihiko

doi:10.1016/j.chemosphere.2021.131989

Cited by 16 publications

(10 citation statements)

References 39 publications

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“…Members of the genus Dehalococcoides are referred to as probably the most widely used pure or predominant member mixture species for the dechlorination process [27,30,46,65] and are found as an important part of natural microbiomes in contaminated sites [10,50,64,66,67]. However, in this study, the genera Dehalobacter and Desulfitobacterium were detected as more abundant and stable microorganisms involved in reductive dechlorination.…”

Section: Molecular Biological Analysesmentioning

confidence: 63%

“…At suboptimal temperatures (10 and 20 • C), dechlorination of trichloroethene led preferentially to a non-complete process and to the accumulation of VC and cis-1,2-DCE [39]. Less effective dechlorination (releasing of less chlorinated by-products) at this temperature was published by other authors [28][29][30]. Optimal temperature maximizes the rate and shortens the lag phase of dechlorination [29].…”

Section: Chemical Analysesmentioning

confidence: 82%

“…For this reason, current research focuses on increasing the efficiency of in situ anaerobic bioremediation by optimizing the temperature conditions with the intention of maximizing the rate of biodegradation [13,14]. The specific response of the microbiome on location to temperature must be investigated; however, most commonly reported temperatures are 20-30 • C with deterioration of the process above 35-40 • C [27][28][29][30][31][32]; thus, thermally enhanced anaerobic dechlorination could be costly, but effective [30]. The highest efficiency of the remediation method will be reflected in the shortening of the time required to reach the target remediation limits through improved biological parameters, e.g., cell growth and (bio)reaction rates [33][34][35] and physical-chemical, e.g., pollutant desorption, their volatilization and (bio)availability [36] and releasing of direct electron donors [35] and thus in lower remediation costs.…”

Section: Chemical Analysesmentioning

confidence: 99%

“…The value 0.37 (Figure 5a) is based on a specific calculation of the chlorine number, which may not completely coincide with the presence of chlorinated ethenes. Previous studies have described that complete dechlorination usually occurred at temperatures of 15-30 • C [14,30,43,54]. Members of the genus are referred to as probably the most widely used pure or predominant member mixture species for the dechlorination process [27,30,46,65] and are found as an important part of natural microbiomes in contaminated sites [10,50,64,66,67].…”

Section: Chemical Analysesmentioning

confidence: 99%

See 3 more Smart Citations

Thermally Enhanced Biodegradation of TCE in Groundwater

Najmanová

Steinová

Czinnerová

et al. 2022

Water

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In situ remediation is usually restricted by temperature, lack of substrate for reductive dechlorination (anaerobic respiration), the presence of dehalogenating microorganisms, and specific bedrock conditions. In this work, trichloroethene (TCE) degradation was studied by a number of methods, from physical–chemical analyses to molecular biological tools. The abundance changes in dechlorinating bacteria were monitored using real-time PCR. The functional genes vcrA and bvcA as well as the 16S rRNA specific for representatives of genera Dehalococcoides, Dehalobacter, and Desulfitobacterium were monitored. Furthermore, the sulfate-reducing bacteria and denitrifying bacteria were observed by amplifying the functional genes apsA and nirK. The elevated temperature and the substrate (whey) addition significantly affected TCE dechlorination. The chlorine index decreased after nine weeks from 2.5 to 0.1 at 22 °C, to 1.1 at 17 °C and 1.7 at 12 °C and complete dechlorination was achieved at 22 °C with whey addition. The achieved results of this work show the feasibility and effectiveness of biological dechlorination of TCE enhanced with elevated temperature and whey addition.

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Section: Molecular Biological Analysesmentioning

confidence: 63%

Section: Chemical Analysesmentioning

confidence: 82%

Section: Chemical Analysesmentioning

confidence: 99%

Section: Chemical Analysesmentioning

confidence: 99%

See 2 more Smart Citations

Thermally Enhanced Biodegradation of TCE in Groundwater

Najmanová

Steinová

Czinnerová

et al. 2022

Water

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“…Excessive chloride ions in industrial wastewater have become a great challenge to industrial anticorrosion and attracted extensive attention, especially in the northwest region with relatively scarce water resources. Therefore, it is urgent to develop high-performance technology for chloride ion pollution control [ 2 , 3 ].…”

Section: Introductionmentioning

confidence: 99%

Optimization of Dechlorination Experiment Design Using Lightweight Deep Learning Model

Peng

Tan

2022

Computational Intelligence and Neuroscience

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This exploration intends to remove chloride ions in production and life, enhance buildings’ durability, and protect the natural environment from pollution. The current dechlorination technology is discussed based on the relevant theories, such as the lightweight deep learning (DL) model and chloride ion characteristics. Next, data statistics and comparative analysis methods are used to study the adsorption and desorption performance of dechlorination adsorbents. Finally, the lightweight DL model is introduced into the chloride diffusion prediction experiment of slag powder and fly ash concrete. The results show that in the study of dechlorination adsorption performance, the chloride ion concentration decreases gradually with the extension of adsorption time. However, with the increasing temperature, the chloride ion removal rate is increasing. The removal rate of chloride ions in water can decrease slowly with the increase of adsorbent. Therefore, selecting the 2 mol/L sodium hydroxide as the alkali concentration for adsorbent regeneration is the most appropriate. Besides, the regeneration performance of the adsorbent gradually declines with the increase of sodium chloride concentration in the solution. The lightweight DL model is applied to the chloride diffusion prediction experiment of slag powder and fly ash concrete. It is found that when the curing age is selected at 18 days, 90 days, and 180 days, respectively, the error between the lightweight DL model and the experimental results is about 0.2. It shows that the lightweight DL model is feasible for predicting the diffusion of chloride ions. Therefore, this exploration designs and studies the dechlorination experiment based on the lightweight DL model, which provides a new theoretical basis and optimization direction for removing chloride ions in the future industry.

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