|
1
|
Ma S, Ren Q, Jiang L, Liu Z, Zhu Y, Zhu J, Zhang Y, Zhang M. A triple-aptamer tetrahedral DNA nanostructures based carbon-nanotube-array transistor biosensor for rapid virus detection. Talanta 2024; 266:124973. [PMID: 37506519 DOI: 10.1016/j.talanta.2023.124973] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/28/2023] [Revised: 07/15/2023] [Accepted: 07/18/2023] [Indexed: 07/30/2023]
Abstract
Outbreaks of infectious viruses cause enormous challenges to global public health. Recently, the coronavirus disease 2019 (COVID-19) induced by the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) has severely threatened human health and resulted in the global pandemic. A strategy to detect SARS-CoV-2 with both fast sensing speed and high accuracy is urgently required. Here, rapid detection of SARS-CoV-2 antigen using carbon-nanotube-array-based thin-film transistor (CNT-array-based TFT) biosensors merged with tetrahedral DNA nanostructures (TDNs) and triple aptamers is demonstrated for the first time. Compared with CNT-network-based TFT biosensors and metal-electrode-based CNT-TFT biosensors, the response of CNT-array-based TFT biosensors can be enhanced up to 102% for SARS-CoV-2 receptor-binding domain (RBD) detection, which is supported by its sensing mechanism. By combining TDNs with triple aptamers, the biosensor has realized the wildtype SARS-CoV-2 RBD detection in a broad detection range spanning eight orders of magnitude with a low limit of detection (LOD) of 10 aM (6 copies/μL) owing to the improved protein capture efficiency. Moreover, the triple-aptamer biosensor platform has achieved the detection of SARS-CoV-2 Omicron RBD in a low LOD of 6 aM (3.6 copies/μL). Additionally, the CNT-array-based TFT biosensors have exhibited excellent specificity, enabling identification among SARS-CoV-2 antigen, SARS-CoV antigen and MERS-CoV antigen. The platform of CNT-array-based TFT biosensors combined with TDNs and triple aptamers provides a high-performance and rapid approach for SARS-CoV-2 detection, and its versatility by altering specific aptamers enables the possibility for rapid virus detection.
Collapse
Affiliation(s)
- Shenhui Ma
- Key Laboratory of Wide Band-Gap Semiconductor Materials and Devices, School of Microelectronics, Xidian University, Xi'an, 710071, China; School of Electronic and Computer Engineering, Peking University, Shenzhen, 518055, China
| | - Qinqi Ren
- School of Electronic and Computer Engineering, Peking University, Shenzhen, 518055, China
| | - Leying Jiang
- State Key Laboratory of Chemical Oncogenomics, School of Chemical Biology and Biotechnology, Peking University, Shenzhen, 518055, China
| | - Zhihong Liu
- Pingshan Translational Medicine Center, Shenzhen Bay Laboratory, Shenzhen, 518055, China
| | - Yang Zhu
- School of Electronic and Computer Engineering, Peking University, Shenzhen, 518055, China
| | - Jiahao Zhu
- School of Electronic and Computer Engineering, Peking University, Shenzhen, 518055, China
| | - Yaping Zhang
- Pingshan Translational Medicine Center, Shenzhen Bay Laboratory, Shenzhen, 518055, China.
| | - Min Zhang
- School of Electronic and Computer Engineering, Peking University, Shenzhen, 518055, China.
| |
Collapse
|
|
2
|
Ma S, Zhang Y, Ren Q, Wang X, Zhu J, Yin F, Li Z, Zhang M. Tetrahedral DNA nanostructure based biosensor for high-performance detection of circulating tumor DNA using all-carbon nanotube transistor. Biosens Bioelectron 2022; 197:113785. [PMID: 34800925 DOI: 10.1016/j.bios.2021.113785] [Citation(s) in RCA: 15] [Impact Index Per Article: 7.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/30/2021] [Revised: 11/03/2021] [Accepted: 11/10/2021] [Indexed: 02/07/2023]
Abstract
Adopting carbon nanotube (CNT) transistors as biosensors has been developed as a promising method for cancer biomarker detection, which has shown superior sensitivity and selectivity. However, the detection of circulating tumor DNA (ctDNA) by the CNT transistor based biosensors is still a challenge and no work has been reported. Here, direct label-free DNA detection of AKT2 gene related to triple-negative breast cancer by all-CNT thin-film transistor (TFT) biosensors incorporated with tetrahedral DNA nanostructures (TDNs) is proposed and achieved for the first time. The adoption of TDNs enables improved biosensor response for at least 35% and even as high as 98% as compared with single-stranded DNA (ssDNA) probes owing to the enhanced DNA hybridization efficiency. Influence of the TDNs' linker length on the biosensor performance is important and has been investigated. Concentration-dependent DNA detection is achieved by the all-CNT TFT biosensors with a broad linear detection range of six orders of magnitude and a theoretical limit of detection (LOD) of 2 fM. In addition, the all-CNT TFT biosensors exhibit favorable selectivity and repeatability. The platform of all-CNT TFT biosensors incorporated with TDNs has great potential for multiplexed detection of various cancer biomarkers, providing a simple yet high performance universal strategy for low-cost clinical applications.
Collapse
Affiliation(s)
- Shenhui Ma
- School of Electronic and Computer Engineering, Peking University, Shenzhen, 518055, China
| | - Yaping Zhang
- State Key Laboratory of Chemical Oncogenomics, School of Chemical Biology and Biotechnology, Peking University, Shenzhen, 518055, China
| | - Qinqi Ren
- School of Electronic and Computer Engineering, Peking University, Shenzhen, 518055, China
| | - Xiaofang Wang
- School of Electronic and Computer Engineering, Peking University, Shenzhen, 518055, China
| | - Jiahao Zhu
- School of Electronic and Computer Engineering, Peking University, Shenzhen, 518055, China
| | - Feng Yin
- Pingshan Translational Medicine Center, Shenzhen Bay Laboratory, Shenzhen, 518055, China.
| | - Zigang Li
- State Key Laboratory of Chemical Oncogenomics, School of Chemical Biology and Biotechnology, Peking University, Shenzhen, 518055, China; Pingshan Translational Medicine Center, Shenzhen Bay Laboratory, Shenzhen, 518055, China.
| | - Min Zhang
- School of Electronic and Computer Engineering, Peking University, Shenzhen, 518055, China.
| |
Collapse
|