Evidence map›Paper›PMID 31323966›Full record

ArticleMolecules (Basel, Switzerland)2019

A Promising Polymer Blend Electrolytes Based on Chitosan: Methyl Cellulose for EDLC Application with High Specific Capacitance and Energy Density.

Shujahadeen B Aziz, M H Hamsan, Ranjdar M Abdullah, M F Z Kadir

Open access · goldAbstract read
In one paragraph

Article in Molecules (Basel, Switzerland), 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 40 papers.

0numbers the graph read from it
0cells of the map it votes in
40citing papers in PubMed
10.7field-weighted citation impact, top 1% of its field
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

40 citing papers in PubMed, 142 citations in OpenAlex.

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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

4 authors at 3 institutions in 2 countries.

Shujahadeen B AzizAdvanced Polymeric Materials Research Lab., Department of Physics, College of Science, University of Sulaimani, Qlyasan Street, Sulaimani 46001, Kurdistan Regional Government, Iraq. shujahadeenaziz@gmail.com.ORCID 0000-0003-4916-5394
M H HamsanCentre for Foundation Studies in Science, University of Malaya, Kuala Lumpur 50603, Malaysia.
Ranjdar M AbdullahAdvanced Polymeric Materials Research Lab., Department of Physics, College of Science, University of Sulaimani, Qlyasan Street, Sulaimani 46001, Kurdistan Regional Government, Iraq.
M F Z KadirCentre for Foundation Studies in Science, University of Malaya, Kuala Lumpur 50603, Malaysia.
University of Malaya · MYKomar University of Science and Technology · IQKurdistan Regional Government · IQ

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In the present work, promising proton conducting solid polymer blend electrolytes (SPBEs) composed of chitosan (CS) and methylcellulose (MC) were prepared for electrochemical double-layer capacitor (EDLC) application with a high specific capacitance and energy density. The change in intensity and the broad nature of the XRD pattern of doped samples compared to pure CS:MC system evidencedthe amorphous character of the electrolyte samples. The morphology of the samples in FESEM images supported the amorphous behavior of the solid electrolyte films. The results of impedance and Bode plotindicate that the bulk resistance decreasedwith increasing salt concentration. The highest DC conductivity was found to be 2.81 × 10

Indexed as

AlgorithmsChitosanElectric CapacitanceElectrochemical TechniquesElectrolytesMethylcelluloseModels, TheoreticalPolymersSpectrum AnalysisChitosanElectrolytesMethylcellulosePolymersBiopolymer blend electrolytecyclic voltammetryEDLC fabricationenergy densityImpedance spectroscopyMorphology studySpecific capacitanceTNM and LSVXRD analysis

Identifiers

PMID31323966
PMCPMC6651571
OpenAlexW2956470195

What OpenQuestion holds

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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.