Keyword search (4,163 papers available)

"Shen J" Authored Publications:

Title Authors PubMed ID
1 Pedestrian detection in aerial image based on convolutional neural network with attention mechanism and multi-scale prediction Yang J; Shen J; Wang S; 41387459
ENCS
2 Treatment of decentralized low-Strength livestock wastewater using microcurrent-assisted multi-soil-layering systems: Performance Assessment and microbial analysis Liu C; Huang G; Song P; An C; Zhang P; Shen J; Ren S; Zhao K; Huang W; Xu Y; Zheng R; 34999101
ENCS
3 Removal of arsenic from water through ceramic filter modified by nano-CeO2: A cost-effective approach for remote areas. Yang X; Huang G; An C; Chen X; Shen J; Yin J; Song P; Xu Z; Li Y; 33182193
ENCS
4 Functional PVDF ultrafiltration membrane for Tetrabromobisphenol-A (TBBPA) removal with high water recovery. Chen X, Huang G, Li Y, An C, Feng R, Wu Y, Shen J 32497754
ENCS
5 Performance of ceramic disk filter coated with nano ZnO for removing Escherichia coli from water in small rural and remote communities of developing regions. Huang J, Huang G, An C, He Y, Yao Y, Zhang P, Shen J 29544196
ENCS
6 Treatment of rural domestic wastewater using multi-soil-layering systems: Performance evaluation, factorial analysis and numerical modeling. Song P, Huang G, An C, Shen J, Zhang P, Chen X, Shen J, Yao Y, Zheng R, Sun C 29990903
ENCS
7 Biophysiological and factorial analyses in the treatment of rural domestic wastewater using multi-soil-layering systems. Shen J, Huang G, An C, Song P, Xin X, Yao Y, Zheng R 30114576
ENCS
8 Analyzing the Biochemical Alteration of Green Algae During Chronic Exposure to Triclosan Based on Synchrotron-Based Fourier Transform Infrared Spectromicroscopy. Xin X, Huang G, An C, Weger H, Cheng G, Shen J, Rosendahl S 31117408
ENCS

 

Title:Removal of arsenic from water through ceramic filter modified by nano-CeO2: A cost-effective approach for remote areas.
Authors:Yang XHuang GAn CChen XShen JYin JSong PXu ZLi Y
Link:https://www.ncbi.nlm.nih.gov/pubmed/33182193
DOI:10.1016/j.scitotenv.2020.141510
Publication:The Science of the total environment
Keywords:Arsenic(V)Ceramic filterFiltrationMechanismSimultaneous removalSynchrotron-based analysis
PMID:33182193 Category:Sci Total Environ Date Added:2020-11-16
Dept Affiliation: ENCS
1 State Key Joint Laboratory of Environmental Simulation and Pollution Control, School of Environment, Beijing Normal University, Beijing 100875, China.
2 Center for Energy, Environment and Ecology Research, UR-BNU, School of Environment, Beijing Normal University, Beijing 100875, China. Electronic address: huang@iseis.org.
3 Department of Building, Civil and Environmental Engineering, Concordia University, Montreal, Quebec H3G 1M8, Canada.
4 Institute for Energy, Environment and Sustainable Communities, University of Regina, Regina S4S 0A2, Canada.
5 MOE Key Laboratory of Resources and Environmental Systems Optimization, North China Electric Power University, Beijing 102206, China.
6 Center for Energy, Environment and Ecology Research, UR-BNU, School of Environment, Beijing Normal University, Beijing 100875, Chin

Description:

The groundwater with high arsenic concentration is widespread, especially in many remote areas of developing countries. Arsenic existing in drinking water sources has a high risk to human health. In this study, an innovative effort to remove As(V) from water using ceramic filters functionalized with CeO2 nanocomposites (CF-CeO2) was investigated. Considering removal efficiency and flow rate, the suitable coating amount of CeO2 was determined for the production of CF-CeO2. Based on the factorial analysis, influent arsenic concentration and pH were found to be significant factors in As(V) removal. Furthermore, CF-CeO2 exhibited a good removal capability over a wide pH range and was insensitive to the change of background electrolyte concentration. In the treatment of natural water, the existence of medium and low turbidity levels facilitated As(V) removing, while the high turbidity level exhibited the opposite effect. Based on macroscopic experiments and microscopic characterizations, it was revealed that the As(V) removal mechanism by the CF-CeO2 mainly included ion-exchange and electrostatic attraction. The findings in this study provided convincing evidence for the use of CF-CeO2 as a high-efficiency, low-cost, and safe approach for water purification in the remote areas of developing countries.

PMID: 33182193 [PubMed]





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