Evidence map›Paper›PMID 39329557›Full record

ArticleBiomimetics (Basel, Switzerland)2024

Preparation of Aluminum-Based Superhydrophobic Surfaces for Fog Collection by Bioinspired Sarracenia Microstructures.

Yunjie Guo, Jie Li, Lisheng Ma, Wentian Shi, Yuke Wang, Shuo Fu, Yanning Lu

Abstract read
In one paragraph

Article in Biomimetics (Basel, Switzerland), 2024. 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. Article
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

7 authors.

Yunjie GuoSchool of Computer and Artificial Intelligence, Beijing Technology and Business University, Beijing 100048, China.
Jie LiSchool of Computer and Artificial Intelligence, Beijing Technology and Business University, Beijing 100048, China.ORCID 0000-0002-3379-5183
Lisheng MaCollege of Marine and Electrical Engineering, Jiangsu Maritime Institute, Nanjing 211106, China.
Wentian ShiSchool of Computer and Artificial Intelligence, Beijing Technology and Business University, Beijing 100048, China.ORCID 0000-0002-9320-4461
Yuke WangSchool of Computer and Artificial Intelligence, Beijing Technology and Business University, Beijing 100048, China.
Shuo FuSchool of Computer and Artificial Intelligence, Beijing Technology and Business University, Beijing 100048, China.
Yanning LuSchool of Computer and Artificial Intelligence, Beijing Technology and Business University, Beijing 100048, China.

Funding

National Key Research and Development Program of China 2022YFC2406000National Natural Science Foundation of China 51975006
6 · The paper itself

Abstract

Freshwater shortage is a growing problem. Inspired by the Sarracenia trichome fog-trapping and ultrafast water-transport structure, a series of hierarchical textured surfaces with high-low ribs with different wettabilities was prepared based on laser processing combined with dip modification. Through fog-collection performance tests, it was found that the samples with superhydrophobicity and low adhesion had the best fog-collection effect. In addition, it was observed that the fog-collection process of different microstructured samples was significantly different, and it was analysed that the fog-collection process was composed of two aspects: directional condensation and directional transport of droplets, which were affected by the low ribs number and rib height ratio. A design parameter was given to create the Sarracenia trichome-like structure to achieve a fast water transport mode. This study provides a good reference for the development and preparation of fog-collection surfaces.

Indexed as

bioinspiredfog collectionhierarchical structuresuperhydrophobic

Identifiers

PMID39329557
PMCPMC11430339

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.