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Record W4405670988 · doi:10.1021/acsaem.4c02732

Polyphenols on Carbon Paper Electrodes: A Fundamental Study for Sustainable Electrochemical Energy Storage

2024· article· en· W4405670988 on OpenAlexafffund
Yasser Matos‐Peralta, Zhaojing Gao, Fabio Mocerino, Clara Santato

Bibliographic record

VenueACS Applied Energy Materials · 2024
Typearticle
Languageen
FieldMaterials Science
TopicConducting polymers and applications
Canadian institutionsPolytechnique Montréal
FundersNatural Sciences and Engineering Research Council of Canada
KeywordsElectrochemistryGlassy carbonCyclic voltammetryElectrodeDielectric spectroscopyChemistryInorganic chemistryElectrolyteChemical engineeringMaterials scienceNanotechnologyPhysical chemistry

Abstract

fetched live from OpenAlex

Promoting sustainable electrochemical energy storage can be achieved by employing biosourced organic molecules with redox-active motifs. Studies focusing on developing high-performance energy storage devices based on redox-active organic molecules often lack a clear understanding of the charge transfer mechanisms involving these molecules. Here, we report on a systematic study of the electrochemical behavior of biosourced polyphenols (pyrogallol, catechin, rutin, quercetin, and mangiferin) deposited on carbon paper electrodes in aqueous electrolytes, to gain insight into their charge transfer mechanisms and reveal possible relationships between (supra)molecular structure-electrochemical properties. We studied the effect on the electrochemical behavior of modified electrodes of mono/divalent metal cations (Li +, Na +, Mg 2+, Ca 2+, and Zn 2+ ) in the supporting electrolyte. Contact angle measurements were used to investigate the interface of the polyphenols with water and scanning electron microscopy to reveal their supramolecular structures at the surface of the carbon paper electrodes. Electrochemical studies were performed by cyclic voltammetry and electrochemical impedance spectroscopy. As proof of concept, electrodes based on polyphenols and sustainable conductive additives were studied in a three-electrode configuration for supercapacitor applications.

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)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
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 score0.179
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0010.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.010
GPT teacher head0.246
Teacher spread0.237 · 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.

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

Citations3
Published2024
Admission routes2
Has abstractyes

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