Evidence map›Paper›PMID 39505855›Full record

ArticleNature communications2024

Scalable robust photothermal superhydrophobic coatings for efficient anti-icing and de-icing in simulated/real environments.

Mingyuan Mao, Jinfei Wei, Bucheng Li, Lingxiao Li, Xiaopeng Huang, Junping Zhang

Abstract read
In one paragraph

Article in Nature communications, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.

0numbers the graph read from it
0cells of the map it votes in
20citing 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

20 citing papers in PubMed.

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  16. Re-Entrant Super-Repellent Metallic Structures for Robust Anti-Icing.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2025
    Article
  17. Prompting Interfacial Elastic Instability for Effective and Durable Icephobic Surfaces.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2025
    Article
  18. Article
  19. Review
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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

6 authors.

Mingyuan Mao *Center of Resource Chemistry and Energy Materials, Key Laboratory of Clay Mineral of Gansu Province, and State Key Laboratory of Solid Lubrication, Lanzhou Institute of Chemical Physics, Chinese Academy of Sciences, Lanzhou, PR China.ORCID http://orcid.org/0009-0007-1668-8814
Jinfei Wei *Center of Resource Chemistry and Energy Materials, Key Laboratory of Clay Mineral of Gansu Province, and State Key Laboratory of Solid Lubrication, Lanzhou Institute of Chemical Physics, Chinese Academy of Sciences, Lanzhou, PR China.ORCID http://orcid.org/0009-0002-9772-9609
Bucheng LiCenter of Resource Chemistry and Energy Materials, Key Laboratory of Clay Mineral of Gansu Province, and State Key Laboratory of Solid Lubrication, Lanzhou Institute of Chemical Physics, Chinese Academy of Sciences, Lanzhou, PR China.ORCID http://orcid.org/0009-0004-1073-8639
Lingxiao LiCenter of Resource Chemistry and Energy Materials, Key Laboratory of Clay Mineral of Gansu Province, and State Key Laboratory of Solid Lubrication, Lanzhou Institute of Chemical Physics, Chinese Academy of Sciences, Lanzhou, PR China.ORCID http://orcid.org/0000-0001-5571-5968
Xiaopeng HuangCenter of Resource Chemistry and Energy Materials, Key Laboratory of Clay Mineral of Gansu Province, and State Key Laboratory of Solid Lubrication, Lanzhou Institute of Chemical Physics, Chinese Academy of Sciences, Lanzhou, PR China.ORCID http://orcid.org/0009-0003-4147-0447
Junping ZhangCenter of Resource Chemistry and Energy Materials, Key Laboratory of Clay Mineral of Gansu Province, and State Key Laboratory of Solid Lubrication, Lanzhou Institute of Chemical Physics, Chinese Academy of Sciences, Lanzhou, PR China. jpzhang@licp.cas.cn.ORCID http://orcid.org/0000-0002-3658-5878

Funding

National Natural Science Foundation of China (National Science Foundation of China) 22105213National Natural Science Foundation of China (National Science Foundation of China) 22275200Natural Science Foundation of Gansu Province 23JRRA580Natural Science Foundation of Gansu Province 23JRRA600Youth Innovation Promotion Association of the Chinese Academy of Sciences (Youth Innovation Promotion Association CAS) 2022426
6 · The paper itself

Abstract

Photothermal superhydrophobic coatings are supposed promising to prevent ice accumulation on infrastructures but often experience significant performance degradation in real icing conditions and lack mechanical robustness. Here, we report design of robust photothermal superhydrophobic coatings with three-tier hierarchical micro-/nano-/nanostructures by deposition of nanosized MOFs on natural attapulgite nanorods, fluorination, controlled phase separation of a hydrophobic adhesive and spraying assembly. Phase separation degree and adhesive content significantly influence the coatings' properties by regulating the structural parameters and morphology. In simulated/real icing environments, the coatings simultaneously show (i) high superhydrophobicity and stable Cassie-Baxter states due to their low-surface-energy, three-tier micro-/nano-/nanostructure, (ii) excellent photothermal effect primarily due to nanosized MOFs, and (iii) good mechanical robustness by the phase-separated adhesive, reinforcement with attapulgite and the coatings' self-similar structure. Accordingly, combined with low thermal conductivity, the coatings exhibit remarkable anti-icing/frosting (e.g., no freezing in at least 150 min and almost free of frost in 25 min) and de-icing/frosting performances (e.g., fast de-icing in 12.7 min and fast de-frosting in 16.7 min) in such environments. Furthermore, we realize large-scale preparation of the coatings at reasonable costs. The coatings have great application potential for anti-icing and de-icing in the real world by efficiently using natural sunlight.

Identifiers

PMID39505855
PMCPMC11541590

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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.