Evidence map›Paper›PMID 36363989›Full record

ArticleMolecules (Basel, Switzerland)2022

Flower-Shaped Carbon Nanomaterials for Highly Efficient Solar-Driven Water Evaporation.

Nan Wang, Haifeng Xu, Jixin Yao, Bo Yang, Guang Li, Zhi Bai

Abstract read
In one paragraph

Article in Molecules (Basel, Switzerland), 2022. 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

6 authors.

Nan WangKey Laboratory of Spin Electron and Nanomaterials of Anhui Higher Education Institutes, School of Mchanical and Electronic Engineering, Suzhou University, Suzhou 234000, China.ORCID 0000-0002-3849-0661
Haifeng XuKey Laboratory of Spin Electron and Nanomaterials of Anhui Higher Education Institutes, School of Mchanical and Electronic Engineering, Suzhou University, Suzhou 234000, China.
Jixin YaoUniversities Joint Key Laboratory of Photoelectric Detection Science and Technology in Anhui Province, School of Electronic Information and Electrical Engineering, Hefei Normal University, Hefei 230601, China.
Bo YangSchool of Physics and Electronic Information, Huaibei Normal University, Huaibei 235000, China.ORCID 0000-0002-9221-2144
Guang LiAnhui Key Laboratory of Information Materials and Devices, Institute of Physical Science and Information Technology, School of Materials Science and Engineering, Anhui University, Hefei 230601, China.
Zhi BaiSchool of Mechanical and Electronic Engineering, Suzhou University, Suzhou 234000, China.

Funding

The Major Projects of Natural Science Research in Universities of Anhui Province KJ2021ZD0137the Natural Science Research Project in Universities of Anhui Province in China KJ2021A1115
6 · The paper itself

Abstract

Solar-driven interface water evaporation is an energy-saving, environmentally friendly, and efficient seawater desalination and wastewater treatment technology. However, some challenges still restrict its further industrial development, such as its complex preparation, heavy metal pollution, and insufficient energy utilization. In this study, a photothermal layer based on flower-shaped carbon nanoparticles is presented for highly efficient solar-driven interface evaporation for water treatment applications. The results show that the surface of the prepared carbon nanomaterials presents a flower-shaped structure with an excellent light absorption capacity and a large specific surface area. Moreover, the C-5.4 (Carbon-5.4) sample has an evaporation rate of 1.87 kg/m

Indexed as

carbon nanomaterialssolar-driven water evaporationwater purification

Identifiers

PMID36363989
PMCPMC9658123

What OpenQuestion holds

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LicenceCC BY
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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.