ReviewPolymers2019
Superwetting Polymeric Three Dimensional (3D) Porous Materials for Oil/Water Separation: A Review.
Review in Polymers, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.
What it found
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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.
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Who cites it
18 citing papers in PubMed, 156 citations in OpenAlex.
- Effective separation of oil and water mixture using hydrophobic g-CRSC advances · 2025Article
- Three-dimensional bio-derived materials for biomedical applications: challenges and opportunities.RSC advances · 2025Review
- Facile fabrication of g-CRSC advances · 2024Article
- Superhydrophobic foam combined with biomass-derived TENG based on upcycled coconut husk for efficient oil-water separation.RSC advances · 2024Article
- Article
- Article
- Mechanically Robust and Flexible GO/PI Hybrid Aerogels as Highly Efficient Oil Absorbents.Polymers · 2022Article
- Superhydrophobic 304 Stainless Steel Mesh for the Removal of High-Density Polyethylene Microplastics.Langmuir : the ACS journal of surfaces and colloids · 2022Article
- Article
- The Separation of Oil/Water Mixtures by Modified Melamine and Polyurethane Foams: A Review.Polymers · 2021Review
- Multifunctional Oil Absorption with Macroporous Polystyrene Fibers Incorporating Silver-Doped ZnO.ACS omega · 2021Article
- Polyurethane Foams Loaded with Carbon Nanofibers for Oil Spill Recovery: Mechanical Properties under Fatigue Conditions and Selective Absorption in Oil/Water Mixtures.Nanomaterials (Basel, Switzerland) · 2021Article
- The Effect of Fiber Type and Yarn Diameter on Superhydrophobicity, Self-Cleaning Property, and Water Spray Resistance.Polymers · 2021Article
- Facile Fabrication of Superhydrophobic Cross-Linked Nanocellulose Aerogels for Oil-Water Separation.Polymers · 2021Article
- A strategy towards the synthesis of superhydrophobic/superoleophilic non-fluorinated polypyrrole nanotubes for oil-water separation.RSC advances · 2020Article
- Article
- Plant-Inspired Layer-by-Layer Self-Assembly of Super-Hydrophobic Coating for Oil Spill Cleanup.Polymers · 2019Article
- Complex Aerogels Generated from Nano-Polysaccharides and Its Derivatives for Oil-Water Separation.Polymers · 2019Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors at 1 institution in 1 country.
Funding
Abstract
Oil spills and the emission of oily wastewater have triggered serious water pollution and environment problems. Effectively separating oil and water is a world-wide challenge and extensive efforts have been made to solve this issue. Interfacial super-wetting separation materials e.g., sponge, foams, and aerogels with high porosity tunable pore structures, are regarded as effective media to selectively remove oil and water. This review article reports the latest progress of polymeric three dimensional porous materials (3D-PMs) with super wettability to separate oil/water mixtures. The theories on developing super-wetting porous surfaces and the effects of wettability on oil/water separation have been discussed. The typical 3D porous structures (e.g., sponge, foam, and aerogel), commonly used polymers, and the most reported techniques involved in developing desired porous networks have been reviewed. The performances of 3D-PMs such as oil/water separation efficiency, elasticity, and mechanical stability are discussed. Additionally, the current challenges in the fabrication and long-term operation of super-wetting 3D-PMs in oil/water separation have also been introduced.
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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.