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© 2022 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.

Abstract

After the COVID-19 pandemic, the development of an accurate diagnosis and monitoring of diseases became a more important issue. In order to fabricate high-performance and sensitive biosensors, many researchers and scientists have used many kinds of nanomaterials such as metal nanoparticles (NPs), metal oxide NPs, quantum dots (QDs), and carbon nanomaterials including graphene and carbon nanotubes (CNTs). Among them, CNTs have been considered important biosensing channel candidates due to their excellent physical properties such as high electrical conductivity, strong mechanical properties, plasmonic properties, and so on. Thus, in this review, CNT-based biosensing systems are introduced and various sensing approaches such as electrochemical, optical, and electrical methods are reported. Moreover, such biosensing platforms showed excellent sensitivity and high selectivity against not only viruses but also virus DNA structures. So, based on the amazing potential of CNTs-based biosensing systems, healthcare and public health can be significantly improved.

Details

Title
Carbon Nanotube and Its Derived Nanomaterials Based High Performance Biosensing Platform
Author
Mondal, Jagannath 1   VIAFID ORCID Logo  ; An, Jeong Man 2   VIAFID ORCID Logo  ; Surwase, Sachin S 3   VIAFID ORCID Logo  ; Chakraborty, Kushal 4 ; Sutradhar, Sabuj Chandra 3   VIAFID ORCID Logo  ; Hwang, Joon 5 ; Lee, Jaewook 3   VIAFID ORCID Logo  ; Yong-Kyu, Lee 6 

 Department of Green Bio Engineering, Korea National University of Transportation, Chungju 27469, Korea 
 Department of Bioengineering, College of Engineering, Hanyang University, Seoul 04763, Korea 
 4D Convergence Technology Institute, Korea National University of Transportation, Jungpyeong 27909, Korea 
 Department of IT and Energy Convergence (BK21 FOUR), Korea National University of Transportation, Chungju 27469, Korea 
 4D Convergence Technology Institute, Korea National University of Transportation, Jungpyeong 27909, Korea; Department of Aeronautical & Mechanical Design Engineering, Korea National University of Transportation, Chungju 27469, Korea 
 Department of Green Bio Engineering, Korea National University of Transportation, Chungju 27469, Korea; 4D Convergence Technology Institute, Korea National University of Transportation, Jungpyeong 27909, Korea; Department of Chemical and Biological Engineering, Korea National University of Transportation, Chungju 27469, Korea 
First page
731
Publication year
2022
Publication date
2022
Publisher
MDPI AG
e-ISSN
20796374
Source type
Scholarly Journal
Language of publication
English
ProQuest document ID
2716500913
Copyright
© 2022 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.