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Record W4386855015 · doi:10.1149/ma2023-0181101mtgabs

Effect of Surface Chemistry on Macrocycle and Conducting Polymer Based-Carbon Composites

2023· article· en· W4386855015 on OpenAlexaff
Raunaq Bagchi, Jeanne N’Diaye, Dian Yu, Jane Y. Howe, Keryn Lian

Bibliographic record

VenueECS Meeting Abstracts · 2023
Typearticle
Languageen
FieldMaterials Science
TopicConducting polymers and applications
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsMaterials scienceCarbon nanotubeRedoxPolymerCarbon fibersPorphyrinElectrochemistryConductive polymerGrapheneEnergy storageComposite materialNanotechnologyComposite numberElectrodeChemical engineeringChemistryOrganic chemistryPower (physics)

Abstract

fetched live from OpenAlex

Redox-active carbon composite-based electrodes, especially nitrogen-based redox active materials, can provide high power and energy storage in electrochemical capacitors. These materials include porphyrin macrocycles which are found in nature and possess unique electronic and redox-active properties from their large π-conjugated systems [1], [2]. When compositing with carbon-based materials such as carbon nanotubes (CNTs), they have shown increased stability and long-term performance. Previous work using macrocyclic tetraphenyl porphyrin sulfonate (TPPS) in CNT-based composites demonstrated improved capacitive profiles, better interfacial kinetics, and charge retention introduced in capacitive electrodes [3], [4]. On the other hand, conducting polymers with π-conjugated backbones also enabled high charge storage when used in composites [5]. To further advance these capabilities, the effects and mechanisms of surface functionalities of carbon substrates need to be investigated. For example, the presence of carboxyl groups on CNTs has been shown to improve charge storage through favourable interfacial interactions in some conducting polymers [6], [7]. The challenge as highlighted in Figure 1 lies in understanding which redox-active species, e.g. macrocycle or conducting polymer, will favour certain surface functionalities based on the nature of their interactions. Thus, a systematic investigation to design and create desirable composites and interactions for high energy and power densities, and to extend to low-cost carbon sources including waste biomass-based activated carbons. In this work, we conducted a systematic study comparing the effect of several surface functionalities like carboxyl groups on TPPS macrocycles and on conducting polymer-based carbon composites to answer the question on why certain surface functionalities are favored for each species. Preliminary studies have shown presence of TPPS has increased the capacitive profiles, reaction kinetics and rate capabilities of CNT composites, exceeding the conducting polymer counterparts. But this capacitive increase can be further improved through surface modification. This study leveraged layer-by-layer deposition approaches to fabricate redox-active carbon composites, followed by electrochemical characterizations using cyclic voltammetry and electrochemical impedance spectroscopy. Surface morphology was studied using electron microscopy while surface functional groups were investigated using x-ray photoelectron spectroscopy. The findings from this study can be used to implement systematic surface modification for redox-active carbon composites to improve energy storage, towards a more sustainable future. References [1] P. Gao et al. , “A Porphyrin Complex as a Self-Conditioned Electrode Material for High-Performance Energy Storage,” Angewandte Chemie International Edition , vol. 56, no. 35, pp. 10341–10346, Aug. 2017, doi: 10.1002/ANIE.201702805. [2] H. M. Castro-Cruz, L. R. Arias-Aranda, N. Farfán, E. Xochitiotzi-Flores, and N. A. Macías-Ruvalcaba, “Elucidating the Electroreduction Mechanism of the Monoprotonated Octaethylporphyrin. A Comparative Study with the Diprotonated Octaethyl- and meso-Tetraphenyl-porphyrins,” J Electrochem Soc , vol. 167, no. 15, p. 155507, Aug. 2020, doi: 10.1149/1945-7111/ABAAE4. [3] J. N’Diaye, M. Elshazly, and K. Lian, “Capacitive charge storage of tetraphenylporphyrin sulfonate-CNT composite electrodes,” Electrochim Acta , vol. 389, p. 138593, Sep. 2021, doi: 10.1016/J.ELECTACTA.2021.138593. [4] J. N’Diaye, M. Elshazly, and K. Lian, “Unraveling Synergistic Redox Interactions in Tetraphenylporphyrin-Polyluminol-Carbon Nanotube Composite for Capacitive Charge Storage,” ACS Appl Mater Interfaces , vol. 14, no. 24, pp. 28359–28369, Jun. 2022, doi: 10.1021/ACSAMI.2C04882/SUPPL_FILE/AM2C04882_SI_001.PDF. [5] J. Yang, Y. Liu, S. Liu, L. Li, C. Zhang, and T. Liu, “Conducting polymer composites: material synthesis and applications in electrochemical capacitive energy storage,” Mater Chem Front , vol. 1, no. 2, pp. 251–268, Feb. 2017, doi: 10.1039/C6QM00150E. [6] R. Bagchi, M. Elshazly, J. N’Diaye, D. Yu, J. Y. Howe, and K. Lian, “Effects of Carboxyl Functionalized CNT on Electrochemical Behaviour of Polyluminol-CNT Composites,” Chemistry 2022, Vol. 4, Pages 1561-1575 , vol. 4, no. 4, pp. 1561–1575, Nov. 2022, doi: 10.3390/CHEMISTRY4040103. [7] B. Zhang et al. , “A facile synthesis of polypyrrole/carbon nanotube composites with ultrathin, uniform and thickness-tunable polypyrrole shells,” Nanoscale Res Lett , vol. 6, no. 1, pp. 1–9, Jun. 2011, doi: 10.1186/1556-276X-6-431/FIGURES/7. Figure 1

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)0.001
metaresearch head score (Gemma)0.000
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 score0.013
Threshold uncertainty score0.520

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
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 head0.022
GPT teacher head0.276
Teacher spread0.253 · 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".

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Citations0
Published2023
Admission routes1
Has abstractyes

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