Evidence map›Paper›PMID 39408481›Full record

ArticlePolymers2024

Binary Biomass-Based Electrolyte Films for High-Performance All-Solid-State Supercapacitor.

Rui Lou, Guocheng Zhang, Taoyuan Niu, Long He, Ying Su, Guodong Wei

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. 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.

Rui LouCollege of Mechanical and Electrical Engineering, Shaanxi University of Science and Technology, Xi'an 710021, China.ORCID 0000-0002-8494-9656
Guocheng ZhangCollege of Mechanical and Electrical Engineering, Shaanxi University of Science and Technology, Xi'an 710021, China.
Taoyuan NiuCollege of Mechanical and Electrical Engineering, Shaanxi University of Science and Technology, Xi'an 710021, China.
Long HeCollege of Mechanical and Electrical Engineering, Shaanxi University of Science and Technology, Xi'an 710021, China.ORCID 0000-0002-1391-5555
Ying SuMaterials Institute of Atomic and Molecular Science, Shaanxi University of Science and Technology, Xi'an 710021, China.
Guodong WeiMaterials Institute of Atomic and Molecular Science, Shaanxi University of Science and Technology, Xi'an 710021, China.ORCID 0000-0002-7987-3888

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Solid-state electrolytes have received widespread attention for solving the problem of the leakage of liquid electrolytes and effectively improving the overall performance of supercapacitors. However, the electrochemical performance and environmental friendliness of solid-state electrolytes still need to be further improved. Here, a binary biomass-based solid electrolyte film (LSE) was successfully synthesized through the incorporation of lignin nanoparticles (LNPs) with sodium alginate (SA). The impact of the mass ratio of SA to LNPs on the microstructure, porosity, electrolyte absorption capacity, ionic conductivity, and electrochemical properties of the LSE was thoroughly investigated. The results indicated that as the proportion of SA increased from 5% to 15% of LNPs, the pore structure of the LSE became increasingly uniform and abundant. Consequently, enhancements were observed in porosity, liquid absorption capacity, ionic conductivity, and overall electrochemical performance. Notably, at an SA amount of 15% of LNPs, the ionic conductivity of the resultant LSE-15 was recorded at 14.10 mS cm

Indexed as

electrochemicallignin nanoparticlessodium alginatesolid electrolytesupercapacitor

Identifiers

PMID39408481
PMCPMC11478610

What OpenQuestion holds

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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.