Evidence map›Paper›PMID 40419501›Full record

ArticleNature communications2025

Chromatic forecasting hydrogels for anti-icing applications.

Wenxuan Hou, Xiaofei Chen, Dan Wang, Yanyan Cao, Hongzhong Du, Gengchen Li, Zhuoheng Gan, Yifei Yan, Chong Gao, Fang Hu and 3 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Nature communications, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Review
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

13 authors.

Wenxuan Hou *School of Materials Science and Engineering, Beijing Institute of Technology, Beijing, 100081, China.
Xiaofei Chen *School of Materials Science and Engineering, Beijing Institute of Technology, Beijing, 100081, China.ORCID http://orcid.org/0000-0003-3305-8498
Dan Wang *School of Materials Science and Engineering, Beijing Institute of Technology, Beijing, 100081, China.
Yanyan CaoSchool of Materials Science and Engineering, Beijing Institute of Technology, Beijing, 100081, China.
Hongzhong DuSchool of Materials Science and Engineering, Beijing Institute of Technology, Beijing, 100081, China.
Gengchen LiSchool of Materials Science and Engineering, Beijing Institute of Technology, Beijing, 100081, China.
Zhuoheng GanBiomaterials Research Center, School of Biomedical Engineering, Guangdong Provincial Key Laboratory of Medial Image Processing, Southern Medical University, Guangzhou, 510515, China.
Yifei YanSchool of Mechanical Engineering and Automation, Beihang University, Beijing, 100191, China.
Chong GaoTangshan Research Institute, Beijing Institute of Technology, Tangshan, 063000, China.
Fang HuBiomaterials Research Center, School of Biomedical Engineering, Guangdong Provincial Key Laboratory of Medial Image Processing, Southern Medical University, Guangzhou, 510515, China.ORCID http://orcid.org/0000-0001-5062-0716
Zhengxu CaiSchool of Materials Science and Engineering, Beijing Institute of Technology, Beijing, 100081, China.ORCID http://orcid.org/0000-0003-0239-9601
Ye XuSchool of Mechanical Engineering and Automation, Beihang University, Beijing, 100191, China.ORCID http://orcid.org/0000-0003-4322-244X
Zhiyuan HeSchool of Materials Science and Engineering, Beijing Institute of Technology, Beijing, 100081, China. hezy@bit.edu.cn.ORCID http://orcid.org/0000-0001-7942-8605

Funding

COLLABORATIVE ALCOHOL EPIDEMIOLOGY RESEARCHN01AA001015 · NIAAA · UNIVERSITY OF TEXAS HLTH SCI CTR HOUSTON · PI CAETANO, RAUL · 2000 to 2000
$250k
Beijing Municipal Science and Technology Commission Z231100006023013National Natural Science Foundation of China (National Science Foundation of China) 22122206, 12304098, 23CAA01015National Science Foundation of China | National Natural Science Foundation of China-Yunnan Joint Fund (NSFC-Yunnan Joint Fund) U24A20495Natural Science Foundation of Beijing Municipality (Beijing Natural Science Foundation) 2232022NIAAA NIH HHS N01 AA001015
6 · The paper itself

Abstract

Icing forecast provides advanced notification, enabling preemptive anti-icing treatments to prevent facility damage and minimize economic losses from unexpected icing events. However, in real-world environments and practical applications, current technologies struggle to accurately predict ice formation on solid surfaces. This difficulty arises from the random and unpredictable nature of ice nucleation, influenced by variable weather conditions, diverse ice-nucleating agents, complex surface properties, and uncertain material defects or contamination. Herein, inspired by the role of ice-nucleating proteins (INPs) in cellular responses to low-temperature stress, we develop an innovative icing forecast hydrogel (IFH) device that encapsulates INPs. By simply regulating the INP content, the advance forecast time for icing can be precisely controlled over a wide temperature range from -6 to -28

Identifiers

PMID40419501
PMCPMC12106614

What OpenQuestion holds

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LicenceCC BY-NC-ND
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Registered trials

None linked

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.