Evidence map›Paper›PMID 42441056›Full record

ReviewRSC advances2026

MXene-based materials for oil-water separation: mechanisms, performance, environmental implications, and future directions.

Shohreh Azizi

Abstract readReview
In one paragraph

Review in RSC advances, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

1 author.

Shohreh AziziUNESCO-UNISA Africa Chair in Nanosciences and Nanotechnology, College of Graduate Studies, University of South Africa Muckleneuk Ridge, PO Box 392 Pretoria 0002 South Africa azizis@unisa.ac.za.ORCID https://orcid.org/0000-0003-0419-9953

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Oil-water contamination from industrial effluents and accidental spills presents a persistent environmental challenge, necessitating efficient and sustainable separation technologies. Two-dimensional MXenes, a class of transition-metal carbides and nitrides, have emerged as highly promising materials for oil-water separation due to their atomically thin layered structures, high electrical conductivity, and abundant surface terminations (-O, -OH, and -F). These intrinsic characteristics impart superhydrophilicity and underwater superoleophobicity, enabling selective water permeation while effectively repelling oil phases. To further enhance separation performance, a wide range of MXene-based architectures have been developed, including polymer-MXene composite membranes, three-dimensional porous hybrids with carbon nanomaterials, and multifunctional composites incorporating metal oxides, biopolymers, or clays to improve mechanical robustness, fouling resistance, and chemical stability. Oil-water separation using MXenes proceeds through synergistic mechanisms such as interlayer nanochannel size-sieving, wettability-controlled selective transport, capillary-driven sorption in aerogels and sponges, photothermal-assisted demulsification of viscous oils, and externally stimulated (magnetic or electro-assisted) oil recovery. This review emphasizes recent advances in MXene-based material design, separation mechanisms, and composite engineering for oil-water remediation, with particular focus on establishing a mechanistic framework that links material properties to separation behavior across different system configurations. By identifying current limitations and future research directions, this review aims to provide a comprehensive framework for the rational development and practical deployment of MXene-enabled oil-water separation technologies.

Identifiers

PMID42441056
PMCPMC13335199

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

Registered trials

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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.