Effect of Surface Chemistry on Macrocycle and Conducting Polymer Based-Carbon Composites
Notice bibliographique
Résumé
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
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Comment cette classification a été obtenuedéplier
Prédiction distillée sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.
Scores Codex et Gemma par catégorie
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,001 | 0,000 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,000 | 0,000 |
| Études des sciences et des technologies | 0,000 | 0,000 |
| Communication savante | 0,000 | 0,000 |
| Science ouverte | 0,000 | 0,000 |
| Intégrité de la recherche | 0,000 | 0,000 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,000 | 0,000 |
Scores machine (provisoires)
Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.
Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.
score_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule tête enseignante, pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».