Evidence map›Paper›PMID 38893546›Full record

ArticleMolecules (Basel, Switzerland)2024

An Amphiphilic Surface with Improved Thermal Radiation for Water Harvesting.

Han Wang, Shengtao Li, Ye Zhang, Weihui Wu, Khaled Abdeen Mousa Ali, Changyou Li

Abstract read
In one paragraph

Article in Molecules (Basel, Switzerland), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Han WangCollege of Engineering, South China Agricultural University, Guangzhou 510642, China.ORCID 0000-0002-4716-2686
Shengtao LiCollege of Engineering, South China Agricultural University, Guangzhou 510642, China.ORCID 0009-0001-8317-7455
Ye ZhangCollege of Engineering, South China Agricultural University, Guangzhou 510642, China.
Weihui WuSchool of Intelligent Engineering, Shaoguan University, Shaoguan 512158, China.
Khaled Abdeen Mousa AliCollege of Engineering, South China Agricultural University, Guangzhou 510642, China.ORCID 0000-0002-8318-1665
Changyou LiCollege of Engineering, South China Agricultural University, Guangzhou 510642, China.

Funding

National Natural Science Foundation of China 32171906
6 · The paper itself

Abstract

Water scarcity poses a significant challenge for people living in arid areas. Despite the effectiveness of many bioinspired surfaces in promoting vapor condensation, their water-harvesting efficiency is insufficient. This is often exacerbated by overheating, which decreases the performance in terms of the micro-droplet concentration and movement on surfaces. In this study, we used a spotted amphiphilic surface to enhance the surfaces' water-harvesting efficiency while maintaining their heat emissivity. Through hydrophilic particle screening and hydrophobic groove modifying, the coalescence and sliding characteristics of droplets on the amphiphilic surfaces were improved. The incorporation of boron nitride (BN) nanoparticles further enhanced the surfaces' ability to harvest energy from condensation. To evaluate the water-harvesting performance of these amphiphilic surfaces, we utilized a real-time recording water-harvesting platform to identify microscopic weight changes on the surfaces. Our findings indicated that the inclusion of glass particles in hydrophobic grooves, combined with 1.0 wt.% BN nanoparticles, enhanced the water-harvesting efficiency of the amphiphilic surfaces by more than 20%.

Indexed as

amphiphile structuresurface wettabilitythermal radiationwater harvesting

Identifiers

PMID38893546
PMCPMC11173787

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.