Posted in | News | Carbon Nanotubes

Synthesis of Carbon Nanotubes from Supramolecular Gel

A study published in the journal Materials Today Chemistry described a novel technique for the controlled production of metal-confined carbon nanotubes (M/CNTs) using self-modeled guanosine-based supramolecular gel (GSMG) nanoscale fibers.

Synthesis of Carbon Nanotubes from Supramolecular Gel

Study: Controllable fabrication of metal-confined carbon nanotubes from the self-templated conversion of supramolecular gel nanofibers. Image Credit: ustas7777777/Shutterstock.com

Taking advantage of the excellent adjustability of GSMGs, it was shown that the addition of metallic sources (nickel and iron) to increase the material's durability and merely adjusting the KOH levels in the precursory substances improved the stability of the material.

The Untapped Potential of Supramolecular Gels

Supramolecule gels, which are created by non-covalent bonds between tiny molecules, are elastic and deformable soft substances with enormous promise in energy transformation and storage due to their customizable architecture, adjustable makeup, and functionality.

In suitable solvents, supramolecule gelators arrange themselves into microscale or nanoscale fibers, generating 3D frameworks.

The supramolecular gel-based three-dimensional matrix provides a multi-layer structure with a high specific area, offering a structural foundation for its usage in conduction systems to increase electron transport in electrochemical reactions.

Heat treatment of supramolecular gels has been proven in previous studies to be an easy way to produce novel energy compounds. Nonetheless, their low architectural integrity and repetitive fiber shape make scalable deployments difficult.

As a consequence, just a few works on the fabrication of functional substances employing supramolecular gel as a precursor have been published, and they all use carbon nanofibers (CNF) architectures.

Tunable carbon nanotube (CNT) synthesis via self-modeled conversion of supramolecular gel-based nanofibers has never before been described.

Synthesizing Metal-Constrained Carbon Nanotubes

Owing to their increased reactivity and structural integrity, CNTs, particularly metal-constrained carbon nanotubes (M/CNTs), are popular in the area of energy substances. Because of their distinctive hollowed nanoscale architecture and metallic nanoparticle enrichment, the interior chamber of M/CNT works as a furnace for energy storage and transformation.

Recently, research on the production and method planning of M/CNTs using standard synthesis techniques, such as arc discharge approach, wet chemical technique, chemical vapor deposition (CVD), and concurrent thermal decomposition technique, have been published.

However, these approaches have disadvantages such as inadequate precursor control and adjustment, harsh synthesizing settings, significant power usage, and imperfections in the final product.

As a result, a simple and viable technique with significant adjustability and ease of processing is required for the simple fabrication of M/CNT.

Details of the Experimentation

In this study, a novel synthesis technique for producing B, N-doped carbon nanotubes packed with NiFe alloy nanomaterials (NiFe/B, N-CNT) by straightforward self-modeled conversion of guanosine-based supramolecular gel (GSMG) nanoscale fibers was reported.

The architecture of GSMG nanofibers based functional compounds were selectively modified from metal-constrained solid CNF (M/CNF) to hollow M/CNT by synergistically functionalizing metal and KOH levels in GSMGs.

The combined impact of the particularly active NiFe alloy and hollowed CNT led to the strong electrocatalysis function of NiFe/B, NCNT towards the oxygen evolution process (OER). This technique offers a potential method for the easy and efficient production of functional CNTs.

Important Observations

After 1000 cyclic voltammetry (CV) repetitions, no variation was noticed, and the overpotential only rose from 355 to 373 mV, demonstrating the catalysts' adequate durability and endurance.

The creation of particularly active NiFe alloy catalyst spots and good conductance carbon nanotubes is related to the substantial increase in OER performance of NiFe/B, N-CNT-6. Furthermore, NiFe/B, N-CNT-6 outperforms the bulk of previously published OER catalytic materials in terms of catalysis performance.

To Conclude

To conclude, a breakthrough simple and successful synthesis technique was devised for B, N-doped CNTs packed with NiFe alloy NPs (NiFe/B, N-CNT) via self-modeled transformation of GSMGs.

The regulated transition of CNFs to CNTs was accomplished throughout the fabrication process by simply injecting Ni and Fe metals, preserving the shape of the gel throughout the pyrolytic procedure, and controlling the KOH level.

Significant electrocatalysis with a small overpotential was obtained by making use of the combined impact of NiFe alloy and CNTs in NiFe/B, N-CNT-6, and the benefit of a specific hollowed architecture. Thus, this study introduced a novel approach for the reasonable creation of architecturally adjustable gel-based multifunctional nanomaterials.

Reference

Liu, J., Gu, C ., Wang, M., Cui, Y., Li, J., & Liu, C.-S. (2022). Controllable fabrication of metal-confined carbon nanotubes from the self-templated conversion of supramolecular gel nanofibers. Materials Today Chemistry, 24. Available at: https://www.sciencedirect.com/science/article/pii/S2468519422000271?via%3Dihub

Disclaimer: The views expressed here are those of the author expressed in their private capacity and do not necessarily represent the views of AZoM.com Limited T/A AZoNetwork the owner and operator of this website. This disclaimer forms part of the Terms and conditions of use of this website.

Shaheer Rehan

Written by

Shaheer Rehan

Shaheer is a graduate of Aerospace Engineering from the Institute of Space Technology, Islamabad. He has carried out research on a wide range of subjects including Aerospace Instruments and Sensors, Computational Dynamics, Aerospace Structures and Materials, Optimization Techniques, Robotics, and Clean Energy. He has been working as a freelance consultant in Aerospace Engineering for the past year. Technical Writing has always been a strong suit of Shaheer's. He has excelled at whatever he has attempted, from winning accolades on the international stage in match competitions to winning local writing competitions. Shaheer loves cars. From following Formula 1 and reading up on automotive journalism to racing in go-karts himself, his life revolves around cars. He is passionate about his sports and makes sure to always spare time for them. Squash, football, cricket, tennis, and racing are the hobbies he loves to spend his time in.

Citations

Please use one of the following formats to cite this article in your essay, paper or report:

  • APA

    Rehan, Shaheer. (2022, February 21). Synthesis of Carbon Nanotubes from Supramolecular Gel. AZoNano. Retrieved on April 23, 2024 from https://www.azonano.com/news.aspx?newsID=38717.

  • MLA

    Rehan, Shaheer. "Synthesis of Carbon Nanotubes from Supramolecular Gel". AZoNano. 23 April 2024. <https://www.azonano.com/news.aspx?newsID=38717>.

  • Chicago

    Rehan, Shaheer. "Synthesis of Carbon Nanotubes from Supramolecular Gel". AZoNano. https://www.azonano.com/news.aspx?newsID=38717. (accessed April 23, 2024).

  • Harvard

    Rehan, Shaheer. 2022. Synthesis of Carbon Nanotubes from Supramolecular Gel. AZoNano, viewed 23 April 2024, https://www.azonano.com/news.aspx?newsID=38717.

Tell Us What You Think

Do you have a review, update or anything you would like to add to this news story?

Leave your feedback
Your comment type
Submit

While we only use edited and approved content for Azthena answers, it may on occasions provide incorrect responses. Please confirm any data provided with the related suppliers or authors. We do not provide medical advice, if you search for medical information you must always consult a medical professional before acting on any information provided.

Your questions, but not your email details will be shared with OpenAI and retained for 30 days in accordance with their privacy principles.

Please do not ask questions that use sensitive or confidential information.

Read the full Terms & Conditions.