The DOI matches its Crossref record; 106 of the 106 references it cites were found in a registry or an index.
Recent development of super-wettable materials and their applications in oil-water separation
Abstract
Abstract Offshore oil spills and the discharge of oily effluents are not only damaging the economy but also disturbs our aquatic and biotic environment. Since, the discovery of super-wetting properties from natural phenomena, experts have designed and developed different kinds of super-wettable materials to be used for self-cleaning, anti-icing, anti-fogging, water collection and the oil-water separation. In particular, various types of super-wettable materials are being developed in order to better separate oil from contaminated water. Therefore, the present review is designed to highlight recent advances in super-wettable materials including classification, synthesis methods and their applications. Also, the research progress on super-wettable oil-water separation materials is described in detail, and categorized into three segments: (i) superhydrophobic-superoleophilic materials; (ii) superhydrophilic-superoleophobic materials; (iii) smart responsive wettability materials. Finally, the major issues and challenges associated with the application of super-wettable materials in the oil-water separation system are highlighted to understand better the research gap and limitations in the marketing of these materials. Moreover, we believe that large scale development of cost effective, stable, green and practically applicable super-wettable oil-water separation materials has bright future.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Wettability of porous surfaces
Cassie, A. B. D., & Baxter, S. (1944) · Transactions of the Faraday Society · doi:10.1039/tf9444000546 · Cited by 13,807
RESISTANCE OF SOLID SURFACES TO WETTING BY WATER
Wenzel, R. N. (1936) · Industrial & Engineering Chemistry · doi:10.1021/ie50320a024 · Cited by 13,316
Improved Synthesis of Graphene Oxide
Marcano, D. C., Kosynkin, D. V., Berlin, J. M., Sinitskii, A., Sun, Z., Slesarev, A., Alemany, L. B., Lu, W., & Tour, J. M. (2010) · ACS Nano · doi:10.1021/nn1006368 · Cited by 11,989
Science and technology for water purification in the coming decades
Shannon, M. A., Bohn, P. W., Elimelech, M., Georgiadis, J. G., Mariñas, B. J., & Mayes, A. M. (2008) · Nature · doi:10.1038/nature06599 · Cited by 8,465
Purity of the sacred lotus, or escape from contamination in biological surfaces
Barthlott, W., & Neinhuis, C. (1997) · Planta · doi:10.1007/s004250050096 · Cited by 6,860
Super‐Hydrophobic Surfaces: From Natural to Artificial
Feng, L., Li, S., Li, Y., Li, H., Zhang, L., Zhai, J., Song, Y., Liu, B., Jiang, L., & Zhu, D. (2002) · Advanced Materials · doi:10.1002/adma.200290020 · Cited by 4,404
Characterization and Distribution of Water-repellent, Self-cleaning Plant Surfaces
NEINHUIS, C. (1997) · Annals of Botany · doi:10.1006/anbo.1997.0400 · Cited by 2,848
Petal Effect: A Superhydrophobic State with High Adhesive Force
Feng, L., Zhang, Y., Xi, J., Zhu, Y., Wang, N., Xia, F., & Jiang, L. (2008) · Langmuir · doi:10.1021/la703821h · Cited by 1,982
Nature-inspired superwettability systems
Liu, M., Wang, S., & Jiang, L. (2017) · Nature Reviews Materials · doi:10.1038/natrevmats.2017.36 · Cited by 1,726
Transformation of a Simple Plastic into a Superhydrophobic Surface
Erbil, H. Y., Demirel, A. L., Avcı, Y., & Mert, O. (2003) · Science · doi:10.1126/science.1078365 · Cited by 1,724
Metadata
- Authors
- Deng, Y., Peng, C., Dai, M., Lin, D., Ali, I., Alhewairini, S. S., Zheng, X., Chen, G., Li, J., & Naz, I.
- Venue
- Journal of Cleaner Production
- Publisher
- Elsevier BV
- Published
- 2020-09
- Volume
- 266
- Pages
- 121624
- ISSN
- 0959-6526 (ISSN-L)
- OpenAlex
- W3023635934
- Cited by
- 355
- References
- 106
- FWCI
- 10.88
- Type
- journal article
- Language
- en
- Open access
- closed
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Recent development of super-wettable materials and their applications in oil-water separation. https://app.cochat.ai/papers/10.1016/j.jclepro.2020.121624
- The paper
- Deng, Y., Peng, C., Dai, M., Lin, D., Ali, I., Alhewairini, S. S., Zheng, X., Chen, G., Li, J., & Naz, I. (2020). Recent development of super-wettable materials and their applications in oil-water separation. Journal of Cleaner Production. https://doi.org/10.1016/j.jclepro.2020.121624
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.