Evidence map›Paper›PMID 37608972›Full record

ArticleRSC advances2023

Self-powered PtNi-polyaniline films for converting rain energy into electricity.

Yingli Wang, Jialong Duan, Qiyao Guo, Yuanyuan Zhao, Xiya Yang, Qunwei Tang

Abstract read
In one paragraph

Article in RSC advances, 2023. 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.

Yingli WangInstitute of Carbon Neutrality, College of Chemical and Biological Engineering, Shandong University of Science and Technology Qingdao 266590 P. R. China.ORCID https://orcid.org/0000-0003-4778-7982
Jialong DuanInstitute of Carbon Neutrality, College of Chemical and Biological Engineering, Shandong University of Science and Technology Qingdao 266590 P. R. China.ORCID https://orcid.org/0000-0002-5118-5071
Qiyao GuoInstitute of Carbon Neutrality, College of Chemical and Biological Engineering, Shandong University of Science and Technology Qingdao 266590 P. R. China.
Yuanyuan ZhaoInstitute of Carbon Neutrality, College of Chemical and Biological Engineering, Shandong University of Science and Technology Qingdao 266590 P. R. China.
Xiya YangInstitute of New Energy Technology, College of Information Science and Technology, Jinan University Guangzhou 510632 P. R. China.ORCID https://orcid.org/0000-0003-3731-5914
Qunwei TangInstitute of Carbon Neutrality, College of Chemical and Biological Engineering, Shandong University of Science and Technology Qingdao 266590 P. R. China.ORCID https://orcid.org/0000-0002-2607-3967

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Developing novel rainwater energy harvesting beyond conventional electricity is a promising strategy to address the problems of the energy crisis and environmental pollution. In this current work, a class of self-powered PtNi and optimal PtNi-polyaniline (PANI) films are successfully developed to convert rainwater into electricity for power generation. The maximized current, voltage and power of the self-powered PtNi-PANI films are 4.95 μA per droplet, 69.85 μV per droplet and 416.54 pW per droplet, respectively, which are attributed to the charging/discharging electrical signals between the cations provided by the rainwater and the electrons offered by the films. These results indicate that the optimized signal values are highly dependent on the elevated electron concentration of films, as well as the concentration, radius and charge of ions in rainwater. This work provides fresh insights into rain energy and enriches our knowledge of how to convert renewable energy into electricity generation.

Identifiers

PMID37608972
PMCPMC10440591

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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.