The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.
Facile Fabrication of Superhydrophobic and Eco-Friendly Poly(lactic acid) Foam for Oil–Water Separation via Skin Peeling
Abstract
Superhydrophobic polymer foams are a good candidate for oil absorption because of their lightweight and tunable porosity and have promising applications in the long-term application of oil-water separation. However, developing a facile and green strategy to fabricate pure polymer foams with superhydrophobicity and eco-friendliness for large-scale oil-water separation remains a challenge. Here, a facile template-free water-assisted thermally impacted phase separation approach combined with skin peeling for the fabrication of superhydrophobic and eco-friendly pure poly(lactic acid) (PLA) foam for oil-water separation is proposed for the first time. The PLA foam with special micro- and nanostructures possesses a water contact angle of 151°, and the maximum saturated adsorption capacity is 31.5 g/g. More importantly, during the continuous oil-water pumping experiment, the foam has an efficiency of 98% and could maintain for more than 15 h, showing a promising prospect for cleaning large-scale oil pollution.
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
Wang, Y., Wang, B., Wang, J., Ren, Y., Xuan, C., Liu, C., & Shen, C. (2018) · Journal of Hazardous Materials · doi:10.1016/j.jhazmat.2017.11.040 · Cited by 140
Self-citation
Cited by
He, Y., Wu, D., Zhou, M., Zheng, Y., Wang, T., Lu, C., Zhang, L., Liu, H., & Liu, C. (2021) · ACS Applied Materials & Interfaces · doi:10.1021/acsami.0c22823 · Cited by 284
Self-citation
Metadata
- Authors
- Wang, X., Pan, Y., Liu, X., Liu, H., Li, N., Liu, C., Schubert, D. W., & Shen, C.
- Venue
- ACS Applied Materials & Interfaces
- Publisher
- American Chemical Society (ACS)
- Published
- 2019-03-27
- Volume
- 11
- Issue
- 15
- Pages
- 14362-14367
- ISSN
- 1944-8244 (ISSN-L)
- 1944-8252
- OpenAlex
- W2922884591
- Cited by
- 186
- References
- 2
- FWCI
- 7.86
- 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
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.
