Integrated On-Site Electrocatalytic H <sub>2</sub> O <sub>2</sub> Synthesis and Membrane Catalysis for Sustainable High-Salinity Wastewater Treatment

generation with membrane catalysis, advancing low-carbon and resource-efficient technologies for advanced purification and water reuse of high-salinity wastewater.

Authors

Institutions

Publication Details

Journal
Environmental Science & Technology
Published
2026-04-17
DOI
https://doi.org/10.1021/acs.est.6c01986
Primary Topic
Membrane-based Ion Separation Techniques
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Integrated On-Site Electrocatalytic H 2 O 2 Synthesis and Membrane Catalysis for Sustainable High-Salinity Wastewater Treatment

Guo‐Ping Sheng, L J Yu, Xiaowen Wu, Hao Zhang et al.
Environmental Science & Technology
Membrane-based Ion Separation Techniques
article

Integrated On-Site Electrocatalytic H 2 O 2 Synthesis and Membrane Catalysis for Sustainable High-Salinity Wastewater Treatment

Guo‐Ping Sheng, L J Yu, Xiaowen Wu, Hao Zhang, Lei He
article en

Abstract

generation with membrane catalysis, advancing low-carbon and resource-efficient technologies for advanced purification and water reuse of high-salinity wastewater.

Environmental Science & TechnologyVol. 60(16)
University of Science and Technology of China (CN)
National Natural Science Foundation of China, Fuyang Normal University, Natural Science Foundation of Anhui Province
Clean water and sanitation
Openalex Percentile: Top 17%
Membrane-based Ion Separation Techniques
DOISourceOpenAlex
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.