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Record W4414255629 · doi:10.1002/cjce.70099

Pore structure of ethyl cellulose ( <scp>EC</scp> )/graphene oxide ( <scp>GO)</scp> composite film investigated by electrochemical impedance spectroscopy

2025· article· en· W4414255629 on OpenAlexvenueno aff
Xiaomin Dian, Zhe Chen, Geming Wang, Ping Fu, Zhidong Lin, Lei Yao, Hamdy F. M. Mohamed

Bibliographic record

VenueThe Canadian Journal of Chemical Engineering · 2025
Typearticle
Languageen
FieldMaterials Science
TopicConducting polymers and applications
Canadian institutionsnot available
FundersNational Natural Science Foundation of China
KeywordsDielectric spectroscopyContact angleOxideComposite numberPermeationEthyl celluloseGrapheneCoating

Abstract

fetched live from OpenAlex

Abstract Ethyl cellulose (EC) is one of the important coating materials for the short‐term protection of precious metals and jewellery. In this study, graphene oxide (GO) was introduced in EC films, and electrochemical impedance spectroscopy (EIS) was utilized to probe the ion permeation through the films. EIS results demonstrate the film resistance increased with the GO content from 0 to 1 wt.%, and decreased with the GO content from 1 to 4 wt.%. It indicates that the ion penetration first becomes difficult and then easier with the increase in GO content. SEM results reveal that the pore sizes of the doped EC composite films first decrease and then increase with the increase of GO content. Additionally, water contact angle results indicate that introducing GO enhanced the surface hydrophilicity of the EC composite film. The tensile test shows that the EC/GO composite film achieves the best mechanic property at the GO content of 1 wt.%. These findings indicate that the pore structure of EC could be adjust by GO platelet, which could be an easy method to modify the ion barrier through EC film.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.005
Threshold uncertainty score0.840

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.005
GPT teacher head0.200
Teacher spread0.196 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations0
Published2025
Admission routes1
Has abstractyes

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