Evidence map›Paper›PMID 39000640›Full record

ArticlePolymers2024

All-Cellulose Nanofiber-Based Sustainable Triboelectric Nanogenerators for Enhanced Energy Harvesting.

Mengyao Cao, Yanglei Chen, Jie Sha, Yanglei Xu, Sheng Chen, Feng Xu

Abstract read
In one paragraph

Article in Polymers, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
  4. Review
  5. 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

6 authors.

Mengyao CaoState Key Laboratory of Efficient Production of Forest Resources, Beijing Forestry University, Beijing 100083, China.
Yanglei ChenState Key Laboratory of Efficient Production of Forest Resources, Beijing Forestry University, Beijing 100083, China.
Jie ShaState Key Laboratory of Efficient Production of Forest Resources, Beijing Forestry University, Beijing 100083, China.
Yanglei XuState Key Laboratory of Efficient Production of Forest Resources, Beijing Forestry University, Beijing 100083, China.
Sheng ChenState Key Laboratory of Efficient Production of Forest Resources, Beijing Forestry University, Beijing 100083, China.ORCID 0000-0001-6094-3084
Feng XuState Key Laboratory of Efficient Production of Forest Resources, Beijing Forestry University, Beijing 100083, China.

Funding

Foundation of Guangxi Key Laboratory of Clean Pulp & Papermaking and Pollution Control 2021KF06National Natural Science Foundation of China 22108014National Natural Science Foundation of China 22378023
6 · The paper itself

Abstract

Triboelectric nanogenerators (TENGs) show promising potential in energy harvesting and sensing for various electronic devices in multiple fields. However, the majority of materials currently utilized in TENGs are unrenewable, undegradable, and necessitate complex preparation processes, resulting in restricted performance and durability for practical applications. Here, we propose a strategy that combines straightforward chemical modification and electrospinning techniques to construct all-cellulose nanofiber-based TENGs with substantial power output. By using cellulose acetate (CA) as the raw material, the prepared cellulose membranes (CMs) and fluorinated cellulose membranes (FCMs) with different functional groups and hydrophobic properties are applied as the tribopositive and tribonegative friction layers of FCM/CM-based triboelectric nanogenerators (FC-TENGs), respectively. This approach modulates the microstructure and triboelectric polarity of the friction materials in FC-TENGs, thus enhancing their triboelectric charge densities and contact areas. As a result, the assembled FC-TENGs demonstrate enhanced output performance (94 V, 8.5 µA, and 0.15 W/m

Indexed as

celluloseelectrospinningenergy harvestingfluorinatenanofibertriboelectric nanogenerator

Identifiers

PMID39000640
PMCPMC11243854

What Socratic 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 Socratic graph.