ReviewACS environmental Au2025
Graphene Membrane for Water-Related Environmental Application: A Comprehensive Review and Perspectives.
Review in ACS environmental Au, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
10 citing papers in PubMed.
- Review
- Graphene-Oxide-Based Organic Solvent Filtration Membranes: Recent Progress and Perspectives.Chem & bio engineering · 2026Review
- Zwitterionic Molecule Intercalation in Nanoporous Multilayer Graphene Oxide Membrane for Metal Ion Recovery from Spent Li-Ion Batteries.Chem & bio engineering · 2026Article
- Clay-Based Technologies for Produced Water Treatment: A Bibliometric Analysis of Global Trends and SDG Contributions (1996-2025).ACS omega · 2026Article
- Reduced-Graphene Oxide Nanofiltration Membranes Intercalated by Conjugated Polyaromatics: Towards High Monovalent Salt Rejections.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026Article
- Graphene oxide nanoribbons grafted with thionine as versatile materials for energy storage and hydrogen evolution electrocatalysis.Nanoscale advances · 2026Article
- Machine-learning enhanced simulations predict graphene is microscopically hydrophobic and not wetting transparent.Nature communications · 2026Article
- Adsorption of water on pristine graphene: a van der Waals density functional study with the vdW-C09 approach.Journal of molecular modeling · 2026Article
- Citric acid-functionalized graphene oxide membranes with enhanced stability and permeability for high-efficiency separation.iScience · 2026Article
- Nanocellulose-Graphene Derivative Composite Membranes: Recent Advances, Functional Mechanisms, and Water Purification Applications.Membranes · 2025Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
7 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Graphene-based materials can be potentially utilized for separation membranes due to their unique structural properties such as precise molecular sieving by interlayer spacing or pore structure and excellent stability in harsh environmental conditions. Therefore, graphene-based membranes have been extensively demonstrated for various water treatment applications, including desalination, water extraction, and rare metal ion recovery. While most of the utilization has still been limited to the laboratory scale, emerging studies have dealt with scalable approaches to show commercial feasibility. This review summarizes the recent studies on diverse graphene membrane fabrications and their environmental applications related to water-containing conditions in addition to the molecular separation mechanism and critical factors related to graphene membrane performance. Additionally, we discuss future perspectives and challenges to provide insights into the practical applications of graphene-based membranes on the industrial scale.
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.