Enhancement of perchloroethene dechlorination by a mixed dechlorinating culture via magnetic nanoparticle-mediated isolation method

Chen, Kezhen; Liu, Zefan; Wang, Xiaomin; Yu, Chungui; Ye, Junxiang; Yu, Chunna; Wang, Feier; Shen, Chaofeng

doi:10.1016/j.scitotenv.2021.147421

Cited by 15 publications

(2 citation statements)

References 75 publications

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“…Here, the combination of MMI and SCIR approach in our study makes it possible to focus on the single‐cell level. This improvement is beneficial for the integration of downstream analysis with microbial morphology (Chen et al, 2021; Gan et al, 2021). Therefore, the established experimental and analytical methods are based on MMI.…”

Section: Discussionmentioning

confidence: 99%

Coupled magnetic nanoparticle‐mediated isolation and single‐cell image recognition to detect Bacillus' cell size in soil

Rong

et al. 2022

European J Soil Science

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Microbial morphology fundamentally constrains how species interact with their environment, and hence ultimately affects their niche. However, the methodology of functional microbes in the soil ecosystem is still poorly studied since it is difficult to capture and identify the active monospecific community from the complicated environment and enormous number of microbial species in soils. To comprehensively reveal the morphology of active microbes in soil ecosystem, magnetic nanoparticle-mediated isolation (MMI) and single-cell image recognition (SCIR) were employed to study soil active Bacillus community, which functionally boosted the soil fertility in organic fertilisation compared to mineral fertilisation and unfertilised control treatments in our previous study. The results showed that

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Section: Discussionmentioning

confidence: 99%

Coupled magnetic nanoparticle‐mediated isolation and single‐cell image recognition to detect Bacillus' cell size in soil

Rong

et al. 2022

European J Soil Science

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“…It is a yellow-green gas under normal temperature and pressure; has a strong pungent smell and very active chemical properties; and is toxic [ 22 , 23 ]. Chlorine widely exists in nature in the compound form, which is also of great significance to human physiological activities [ 24 ]. Sodium chloride salt is common in life.…”

Section: Methodsmentioning

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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Direct interspecies electron transfer for environmental treatment and chemical electrosynthesis: A review

Fang,

Huang,

Tang

et al. 2024

Environ Chem Lett

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Enhancement of perchloroethene dechlorination by a mixed dechlorinating culture via magnetic nanoparticle-mediated isolation method

Cited by 15 publications

References 75 publications

Coupled magnetic nanoparticle‐mediated isolation and single‐cell image recognition to detect Bacillus' cell size in soil

Coupled magnetic nanoparticle‐mediated isolation and single‐cell image recognition to detect Bacillus' cell size in soil

Optimization of Dechlorination Experiment Design Using Lightweight Deep Learning Model

Direct interspecies electron transfer for environmental treatment and chemical electrosynthesis: A review

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