ReviewGlobal challenges (Hoboken, NJ)2022
Surface Functionalized MXenes for Wastewater Treatment-A Comprehensive Review.
Review in Global challenges (Hoboken, NJ), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 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
8 citing papers in PubMed.
- MXene-chitosan nanocomposites for structure interface and biofunctional applications in biosensing biocatalysis and regenerative biotechnology.Bioprocess and biosystems engineering · 2026Review
- Preparation, Characterization, and Adsorption Performance of an Interlayer-Expanded PPy/Maghnite-CuPolymers · 2026Article
- MoSScientific reports · 2025Article
- MXene-Derived Oxide Nanoheterostructures for Photocatalytic Sulfamethoxazole Degradation.ACS applied nano materials · 2024Article
- MXene/AgNW composite material for selective and efficient removal of radioactive cesium and iodine from water.Scientific reports · 2023Article
- Retrospective on Exploring MXene-Based Nanomaterials: Photocatalytic Applications.Molecules (Basel, Switzerland) · 2023Review
- Recent advances on graphyne and its family members as membrane materials for water purification and desalination.Frontiers in chemistry · 2023Review
- Surface Functionalized MXenes for Wastewater Treatment-A Comprehensive Review.Global challenges (Hoboken, NJ) · 2022Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
12 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Over 80% of wastewater worldwide is released into the environment without proper treatment. Whilst environmental pollution continues to intensify due to the increase in the number of polluting industries, conventional techniques employed to clean the environment are poorly effective and are expensive. MXenes are a new class of 2D materials that have received a lot of attention for an extensive range of applications due to their tuneable interlayer spacing and tailorable surface chemistry. Several MXene-based nanomaterials with remarkable properties have been proposed, synthesized, and used in environmental remediation applications. In this work, a comprehensive review of the state-of-the-art research progress on the promising potential of surface functionalized MXenes as photocatalysts, adsorbents, and membranes for wastewater treatment is presented. The sources, composition, and effects of wastewater on human health and the environment are displayed. Furthermore, the synthesis, surface functionalization, and characterization techniques of merit used in the study of MXenes are discussed, detailing the effects of a range of factors (e.g., PH, temperature, precursor, etc.) on the synthesis, surface functionalization, and performance of the resulting MXenes. Finally, the limits of MXenes and MXene-based materials as well as their potential future research directions, especially for wastewater treatment applications are highlighted.
Indexed as
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.