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Grafting Multiwalled Carbon Nanotubes with Polystyrene to Enable Self-Assembly and Anisotropic Patchiness
Published on: April 1, 2018
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Carbon Nanotube Assembly and Integration for Applications.
Anusha Venkataraman1, Eberechukwu Victoria Amadi1, Yingduo Chen1
1Department of Electrical and Computer Engineering, University of Victoria, P.O. Box 1700 STN CSC, Victoria, BC, V8W 2Y2, Canada.
Nanoscale Research Letters
|July 3, 2019
Summary
This review details advances in carbon nanotube (CNT) synthesis, structural control, purification, and assembly. Controlled CNT integration is key for realizing applications in electronics, biotechnology, and materials science.
Area of Science:
- Materials Science
- Nanotechnology
- Chemical Engineering
Background:
- Carbon nanotubes (CNTs) possess unique properties (mechanical, electrical, optical) enabling diverse applications.
- Realizing CNT applications requires controlled growth, assembly, and integration.
Purpose of the Study:
- To review progress in CNT assembly and integration for various applications.
- To cover synthesis, structural control, purification, and assembly techniques.
Main Methods:
- CNT synthesis: arc-discharge, laser ablation, chemical vapor deposition (CVD).
- Structural control: catalyst conditioning, cloning, seed/template-based growth.
- Purification: selective surface chemistry, chromatography, density gradient centrifugation.
- Assembly: catalyst patterning, forest growth, composites, photolithography, transfer printing, inkjet printing, dielectrophoresis (DEP), spin coating.
Main Results:
- Significant advancements in controlling CNT structure (chirality, diameter, junctions).
- Development of various purification methods to enhance CNT quality.
- Diverse assembly techniques enabling CNT integration onto substrates.
Conclusions:
- Controlled CNT assembly and integration are crucial for technological advancements.
- Challenges remain in scaling up production and achieving precise integration for specific applications.
- Future research directions include optimizing CNTs for energy storage, transistors, tissue engineering, and sensors.
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