The DOI matches its Crossref record.
Facile and Large‐Scale Fabrication of a Cactus‐Inspired Continuous Fog Collector
Abstract
Although clean drinking water is a basic human need, freshwater scarcity has been identified as a major global problem of the 21st century. Nature has long served as a source of inspiration for human beings to develop new technology. The cactus in the desert possesses a multifunctional integrated fog collection system originating from the cooperation of a Laplace pressure gradient and the wettability difference. In this contribution, inspired by the cactus, an artificial fog collector on a large scale is first fabricated through integrating cactus spine‐like hydrophobic conical micro‐tip arrays with the hydrophilic cotton matrix. The novel cactus‐inspired fog collector can spontaneously and continuously collect, transport, and preserve fog water, demonstrating high fog collection efficiency and promising applications in the regions with drinking water scarcity. Furthermore, the present approach is simple, time‐saving and cost‐effective, which provides a potential device and new idea to solve the global water crisis.
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
Cited by
Bioinspired Surfaces with Superwettability: New Insight on Theory, Design, and Applications
Wang, S., Liu, K., Yao, X., & Jiang, L. (2015) · Chemical Reviews · doi:10.1021/cr400083y · Cited by 1,646
Self-citationLiu, Z., Meyers, M. A., Zhang, Z., & Ritchie, R. O. (2017) · Progress in Materials Science · doi:10.1016/j.pmatsci.2017.04.013 · Cited by 895
Recent advances in the potential applications of bioinspired superhydrophobic materials
Darmanin, T., & Guittard, F. (2014) · J. Mater. Chem. A · doi:10.1039/c4ta02071e · Cited by 555
Metadata
- Authors
- Cao, M., Ju, J., Li, K., Dou, S., Liu, K., & Jiang, L.
- Venue
- Advanced Functional Materials
- Publisher
- Wiley
- Published
- 2014-01-30
- Volume
- 24
- Issue
- 21
- Pages
- 3235-3240
- ISSN
- 1616-301X (ISSN-L)
- 1616-3028
- OpenAlex
- W1994719020
- Cited by
- 299
- References
- 0
- FWCI
- 7.92
- 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: Facile and Large‐Scale Fabrication of a Cactus‐Inspired Continuous Fog Collector. https://app.cochat.ai/papers/10.1002/adfm.201303661
- The paper
- Cao, M., Ju, J., Li, K., Dou, S., Liu, K., & Jiang, L. (2014). Facile and Large‐Scale Fabrication of a Cactus‐Inspired Continuous Fog Collector. Advanced Functional Materials. https://doi.org/10.1002/adfm.201303661
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.