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Zhang Y, Chen D, He W, Chen N, Zhou L, Yu L, Yang Y, Yuan Q. Interface-Engineered Field-Effect Transistor Electronic Devices for Biosensing. ADVANCED MATERIALS (DEERFIELD BEACH, FLA.) 2023:e2306252. [PMID: 38048547 DOI: 10.1002/adma.202306252] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/28/2023] [Revised: 09/17/2023] [Indexed: 12/06/2023]
Abstract
Promising advances in molecular medicine have promoted the urgent requirement for reliable and sensitive diagnostic tools. Electronic biosensing devices based on field-effect transistors (FETs) exhibit a wide range of benefits, including rapid and label-free detection, high sensitivity, easy operation, and capability of integration, possessing significant potential for application in disease screening and health monitoring. In this perspective, the tremendous efforts and achievements in the development of high-performance FET biosensors in the past decade are summarized, with emphasis on the interface engineering of FET-based electrical platforms for biomolecule identification. First, an overview of engineering strategies for interface modulation and recognition element design is discussed in detail. For a further step, the applications of FET-based electrical devices for in vitro detection and real-time monitoring in biological systems are comprehensively reviewed. Finally, the key opportunities and challenges of FET-based electronic devices in biosensing are discussed. It is anticipated that a comprehensive understanding of interface engineering strategies in FET biosensors will inspire additional techniques for developing highly sensitive, specific, and stable FET biosensors as well as emerging designs for next-generation biosensing electronics.
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Affiliation(s)
- Yun Zhang
- College of Chemistry and Molecular Sciences, Key Laboratory of Biomedical Polymers of Ministry of Education, Institute of Molecular Medicine, Renmin Hospital of Wuhan University, School of Microelectronics, Wuhan University, Wuhan, 430072, P. R. China
| | - Duo Chen
- College of Chemistry and Molecular Sciences, Key Laboratory of Biomedical Polymers of Ministry of Education, Institute of Molecular Medicine, Renmin Hospital of Wuhan University, School of Microelectronics, Wuhan University, Wuhan, 430072, P. R. China
| | - Wang He
- College of Chemistry and Molecular Sciences, Key Laboratory of Biomedical Polymers of Ministry of Education, Institute of Molecular Medicine, Renmin Hospital of Wuhan University, School of Microelectronics, Wuhan University, Wuhan, 430072, P. R. China
| | - Na Chen
- College of Chemistry and Molecular Sciences, Key Laboratory of Biomedical Polymers of Ministry of Education, Institute of Molecular Medicine, Renmin Hospital of Wuhan University, School of Microelectronics, Wuhan University, Wuhan, 430072, P. R. China
| | - Liping Zhou
- College of Chemistry and Molecular Sciences, Key Laboratory of Biomedical Polymers of Ministry of Education, Institute of Molecular Medicine, Renmin Hospital of Wuhan University, School of Microelectronics, Wuhan University, Wuhan, 430072, P. R. China
| | - Lilei Yu
- College of Chemistry and Molecular Sciences, Key Laboratory of Biomedical Polymers of Ministry of Education, Institute of Molecular Medicine, Renmin Hospital of Wuhan University, School of Microelectronics, Wuhan University, Wuhan, 430072, P. R. China
| | - Yanbing Yang
- College of Chemistry and Molecular Sciences, Key Laboratory of Biomedical Polymers of Ministry of Education, Institute of Molecular Medicine, Renmin Hospital of Wuhan University, School of Microelectronics, Wuhan University, Wuhan, 430072, P. R. China
| | - Quan Yuan
- College of Chemistry and Molecular Sciences, Key Laboratory of Biomedical Polymers of Ministry of Education, Institute of Molecular Medicine, Renmin Hospital of Wuhan University, School of Microelectronics, Wuhan University, Wuhan, 430072, P. R. China
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Zhang Y, Sun C, Duan Y, Cheng S, Hu W. Carbon dots-functionalized extended gate organic field effect transistor-based biosensors for low abundance proteins. NANOSCALE 2023; 15:16458-16465. [PMID: 37791597 DOI: 10.1039/d3nr03405d] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 10/05/2023]
Abstract
Organic field effect transistors have emerged as promising platforms for biosensing applications. However, the challenge lies in optimizing functionalization strategies for the sensing interface, enabling the simultaneous detection of low abundance proteins while maintaining device performance. Here, we designed a carbon dots-functionalized extended gate organic field effect transistor. Leveraging the advantages of facile synthesis, tunable modification, small particle size, and cost-effectiveness of carbon dots, we implemented their integration onto the electrode surface. Through harnessing the covalent interactions of functional groups on the surface of carbon dots, we achieved effective immobilization of low abundance proteins without compromising device performance. Consequently, this biosensor exhibits a remarkably low limit of detection of 2.7 pg mL-1 and demonstrates high selectivity for the carcinoembryonic antigen. These findings highlight the superior capabilities of carbon dots in enhancing biosensor performance and emphasize their potential for early cancer detection.
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Affiliation(s)
- Yanmin Zhang
- Department of Chemistry, Tianjin Key Laboratory of Molecular Optoelectronic Sciences School of Science, Tianjin University, Tianjin 300072, China
| | - Chenfang Sun
- Tianjin Key Laboratory of Drug Targeting and Bioimaging, Life and Health Intelligent Research Insitute, Tianjin University of Technology, Tianjin 300384, China
| | - Yuchen Duan
- Department of Chemistry, Tianjin Key Laboratory of Molecular Optoelectronic Sciences School of Science, Tianjin University, Tianjin 300072, China
| | - Shanshan Cheng
- Department of Chemistry, Tianjin Key Laboratory of Molecular Optoelectronic Sciences School of Science, Tianjin University, Tianjin 300072, China
| | - Wenping Hu
- Department of Chemistry, Tianjin Key Laboratory of Molecular Optoelectronic Sciences School of Science, Tianjin University, Tianjin 300072, China
- Joint School of National University of Singapore and Tianjin University, International Campus of Tianjin University, Binhai New City, Fuzhou 350207, China
- Beijing National Laboratory for Molecular Science, Key Laboratory of Organic Solids, Institution of Chemistry, Chinese Academy of Sciences, Beijing 100190, China
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3
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Flynn CD, Chang D, Mahmud A, Yousefi H, Das J, Riordan KT, Sargent EH, Kelley SO. Biomolecular sensors for advanced physiological monitoring. NATURE REVIEWS BIOENGINEERING 2023; 1:1-16. [PMID: 37359771 PMCID: PMC10173248 DOI: 10.1038/s44222-023-00067-z] [Citation(s) in RCA: 19] [Impact Index Per Article: 19.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Accepted: 04/06/2023] [Indexed: 06/28/2023]
Abstract
Body-based biomolecular sensing systems, including wearable, implantable and consumable sensors allow comprehensive health-related monitoring. Glucose sensors have long dominated wearable bioanalysis applications owing to their robust continuous detection of glucose, which has not yet been achieved for other biomarkers. However, access to diverse biological fluids and the development of reagentless sensing approaches may enable the design of body-based sensing systems for various analytes. Importantly, enhancing the selectivity and sensitivity of biomolecular sensors is essential for biomarker detection in complex physiological conditions. In this Review, we discuss approaches for the signal amplification of biomolecular sensors, including techniques to overcome Debye and mass transport limitations, and selectivity improvement, such as the integration of artificial affinity recognition elements. We highlight reagentless sensing approaches that can enable sequential real-time measurements, for example, the implementation of thin-film transistors in wearable devices. In addition to sensor construction, careful consideration of physical, psychological and security concerns related to body-based sensor integration is required to ensure that the transition from the laboratory to the human body is as seamless as possible.
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Affiliation(s)
- Connor D. Flynn
- Department of Chemistry, Faculty of Arts & Science, University of Toronto, Toronto, ON Canada
- Department of Chemistry, Weinberg College of Arts & Sciences, Northwestern University, Evanston, IL USA
| | - Dingran Chang
- Department of Pharmaceutical Sciences, Leslie Dan Faculty of Pharmacy, University of Toronto, Toronto, ON Canada
| | - Alam Mahmud
- The Edward S. Rogers Sr Department of Electrical and Computer Engineering, University of Toronto, Toronto, ON Canada
| | - Hanie Yousefi
- Department of Biomedical Engineering, McCormick School of Engineering, Northwestern University, Evanston, IL USA
| | - Jagotamoy Das
- Department of Chemistry, Weinberg College of Arts & Sciences, Northwestern University, Evanston, IL USA
| | - Kimberly T. Riordan
- Department of Chemistry, Weinberg College of Arts & Sciences, Northwestern University, Evanston, IL USA
| | - Edward H. Sargent
- Department of Chemistry, Weinberg College of Arts & Sciences, Northwestern University, Evanston, IL USA
- The Edward S. Rogers Sr Department of Electrical and Computer Engineering, University of Toronto, Toronto, ON Canada
- Department of Electrical and Computer Engineering, McCormick School of Engineering, Northwestern University, Evanston, IL USA
| | - Shana O. Kelley
- Department of Chemistry, Faculty of Arts & Science, University of Toronto, Toronto, ON Canada
- Department of Chemistry, Weinberg College of Arts & Sciences, Northwestern University, Evanston, IL USA
- Department of Pharmaceutical Sciences, Leslie Dan Faculty of Pharmacy, University of Toronto, Toronto, ON Canada
- Department of Biomedical Engineering, McCormick School of Engineering, Northwestern University, Evanston, IL USA
- Department of Biochemistry and Molecular Genetics, Feinberg School of Medicine, Northwestern University, Evanston, IL USA
- International Institute for Nanotechnology, Northwestern University, Evanston, IL USA
- Chan Zuckerberg Biohub Chicago, Chicago, IL USA
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Goh GD, Lee JM, Goh GL, Huang X, Lee S, Yeong WY. Machine Learning for Bioelectronics on Wearable and Implantable Devices: Challenges and Potential. Tissue Eng Part A 2023; 29:20-46. [PMID: 36047505 DOI: 10.1089/ten.tea.2022.0119] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/20/2023] Open
Abstract
Bioelectronics presents a promising future in the field of embedded and implantable electronics, providing a range of functional applications, from personal health monitoring to bioactuators. However, due to the intrinsic difficulties present in producing and optimizing bioelectronics, recent research has focused on utilizing machine learning (ML) to reliably mitigate such issues and aid in process development. This review focuses on the recent developments of integrating ML into bioelectronics, aiding in a multitude of areas, such as material development, fabrication process optimization, and system integration. First, discussing how ML has aided in the material development by identifying complex relationships between process input parameters and desired outputs, such as product design. Second, examine the advancements in ML to accurately optimize fabrication precision and stability for various 3D printing technologies. Third, provide an overview of how ML can greatly assist in the analysis of complex, nonlinear relationships in data obtained from bioelectronics. Lastly, a summary of the challenges present with utilizing ML with bioelectronics and any other developments in this field. Such advancements in the field of bioelectronics and ML could hopefully build a strong foundation for this research field, promoting smart optimization together with effective use of ML to further enhance the effectiveness of such applications. Impact statement The article serves to give insight about the use of the machine learning (ML) techniques in the field of bioelectronics, since bioelectronics and ML are two distinct fields. This article allows bioelectronics researcher to get to know the latest advancement in the ML field. On the other hand, the article provides an insight to the ML researchers about how ML techniques can be useful in bioelectronics applications.
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Affiliation(s)
- Guo Dong Goh
- Singapore Center for 3D Printing, School of Mechanical & Aerospace Engineering, Nanyang Technological University Singapore, Singapore, Singapore
| | - Jia Min Lee
- NTU-HP Joint Lab and Nanyang Technological University Singapore, Singapore, Singapore
| | - Guo Liang Goh
- Schaeffler Hub for Advanced Research (SHARE@NTU), Nanyang Technological University Singapore, Singapore, Singapore
| | - Xi Huang
- NTU-HP Joint Lab and Nanyang Technological University Singapore, Singapore, Singapore
| | - Samuel Lee
- Schaeffler Hub for Advanced Research (SHARE@NTU), Nanyang Technological University Singapore, Singapore, Singapore
| | - Wai Yee Yeong
- Singapore Center for 3D Printing, School of Mechanical & Aerospace Engineering, Nanyang Technological University Singapore, Singapore, Singapore.,Schaeffler Hub for Advanced Research (SHARE@NTU), Nanyang Technological University Singapore, Singapore, Singapore
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Chen S, Liu TL, Dong Y, Li J. A Wireless, Regeneratable Cocaine Sensing Scheme Enabled by Allosteric Regulation of pH Sensitive Aptamers. ACS NANO 2022; 16:20922-20936. [PMID: 36468646 DOI: 10.1021/acsnano.2c08511] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/17/2023]
Abstract
A key challenge for achieving continuous biosensing with existing technologies is the poor reusability of the biorecognition interface due to the difficulty in the dissociation of analytes from the bioreceptors upon surface saturation. In this work, we introduce a regeneratable biosensing scheme enabled by allosteric regulation of a re-engineered pH sensitive anti-cocaine aptamer. The aptamer can regain its affinity with target analytes due to proton-promoted duplex-to-triplex transition in DNA configuration followed by the release of adsorbed analytes. A Pd/PdHx electrode placed next to the sensor can enable the pH regulation of the local chemical environment via electrochemical reactions. Demonstration of a "flower-shaped", stretchable, and inductively coupled electronic system with sensing and energy harvesting capabilities provides a promising route to designing wireless devices in biointegrated forms. These advances have the potential for future development of electronic sensing platforms with on-chip regeneration capability for continuous, quantitative, and real-time monitoring of chemical and biological markers.
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Affiliation(s)
- Shulin Chen
- Department of Materials Science and Engineering, The Ohio State University, Columbus, Ohio43210, United States
| | - Tzu-Li Liu
- Department of Materials Science and Engineering, The Ohio State University, Columbus, Ohio43210, United States
| | - Yan Dong
- Department of Materials Science and Engineering, The Ohio State University, Columbus, Ohio43210, United States
| | - Jinghua Li
- Department of Materials Science and Engineering, The Ohio State University, Columbus, Ohio43210, United States
- Chronic Brain Injury Program, The Ohio State University, Columbus, Ohio43210, United States
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Baek JM, Jung WH, Yu ES, Ahn DJ, Ryu YS. In Vitro Membrane Platform for the Visualization of Water Impermeability across the Liquid-Ordered Phase under Hypertonic Conditions. J Am Chem Soc 2022; 144:21887-21896. [PMID: 36367984 DOI: 10.1021/jacs.2c06626] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/13/2022]
Abstract
Passive water penetration across the cell membrane by osmotic diffusion is essential for the homeostasis of cell volume, in addition to the protein-assisted active transportation of water. Since membrane components can regulate water permeability, controlling compositional variation during the volume regulatory process is a prerequisite for investigating the underlying mechanisms of water permeation and related membrane dynamics. However, the lack of a viable in vitro membrane platform in hypertonic solutions impedes advanced knowledge of cell volume regulation processes, especially cholesterol-enriched lipid domains called lipid rafts. By reconstituting the liquid-ordered (Lo) domain as a likeness of lipid rafts, we verified suppressed water permeation across the Lo domains, which had yet to be confirmed with experimental demonstrations despite a simulation approach. With the help of direct transfer of the Lo domains from vesicles to supported lipid membranes, the biological roles of lipid composition in suppressed water translocation were experimentally confirmed. Additionally, the improvement in membrane stability under hypertonic conditions was demonstrated based on molecular dynamics simulations.
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Affiliation(s)
- Ji Min Baek
- Brain Science Institute, Korea Institute of Science and Technology, Seoul 02792, Republic of Korea.,Department of Chemical and Biological Engineering, Korea University, Seoul 02841, Republic of Korea
| | - Woo Hyuk Jung
- Department of Chemical and Biological Engineering, Korea University, Seoul 02841, Republic of Korea
| | - Eui-Sang Yu
- Brain Science Institute, Korea Institute of Science and Technology, Seoul 02792, Republic of Korea
| | - Dong June Ahn
- Department of Chemical and Biological Engineering, Korea University, Seoul 02841, Republic of Korea.,KU-KIST Graduate School of Converging Science and Technology, Korea University, Seoul 02841, Republic of Korea
| | - Yong-Sang Ryu
- Brain Science Institute, Korea Institute of Science and Technology, Seoul 02792, Republic of Korea.,KU-KIST Graduate School of Converging Science and Technology, Korea University, Seoul 02841, Republic of Korea
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7
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Lee C, Lee Y, Jung WH, Kim TY, Kim T, Kim DN, Ahn DJ. Peptide-DNA origami as a cryoprotectant for cell preservation. SCIENCE ADVANCES 2022; 8:eadd0185. [PMID: 36306364 PMCID: PMC9616499 DOI: 10.1126/sciadv.add0185] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/16/2022] [Accepted: 09/12/2022] [Indexed: 05/21/2023]
Abstract
Cryopreservation of cells is essential for the conservation and cold chain of bioproducts and cell-based medicines. Here, we demonstrate that self-assembled DNA origami nanostructures have a substantial ability to protect cells undergoing freeze-thaw cycles; thereby, they can be used as cryoprotectant agents, because their nanoscale morphology and ice-philicity are tailored. In particular, a single-layered DNA origami nanopatch functionalized with antifreezing threonine peptides enabled the viability of HSC-3 cells to reach 56% after 1 month of cryopreservation, surpassing dimethyl sulfoxide, which produced 38% viability. It also exhibited minimal dependence on the cryopreservation period and freezing conditions. We attribute this outcome to the fact that the peptide-functionalized DNA nanopatches exert multisite actions for the retardation of ice growth in both intra- and extracellular regions and the protection of cell membranes during cryopreservation. This discovery is expected to deepen our fundamental understanding of cell survival under freezing environment and affect current cryopreservation technologies.
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Affiliation(s)
- Chanseok Lee
- Institute of Advanced Machines and Design, Seoul National University, Seoul 08826, Korea
- The w:i Interface Augmentation Center, Korea University, Seoul 02841, Korea
| | - Yedam Lee
- The w:i Interface Augmentation Center, Korea University, Seoul 02841, Korea
- Department of Chemical and Biological Engineering, Korea University, Seoul 02841, Korea
| | - Woo Hyuk Jung
- The w:i Interface Augmentation Center, Korea University, Seoul 02841, Korea
- Department of Chemical and Biological Engineering, Korea University, Seoul 02841, Korea
| | - Tae-Yeon Kim
- Department of Mechanical Engineering, Seoul National University, Seoul 08826, Korea
| | - Taehwi Kim
- Department of Mechanical Engineering, Seoul National University, Seoul 08826, Korea
| | - Do-Nyun Kim
- Institute of Advanced Machines and Design, Seoul National University, Seoul 08826, Korea
- The w:i Interface Augmentation Center, Korea University, Seoul 02841, Korea
- Department of Mechanical Engineering, Seoul National University, Seoul 08826, Korea
- Corresponding author. (D.J.A.); (D.-N.K.)
| | - Dong June Ahn
- The w:i Interface Augmentation Center, Korea University, Seoul 02841, Korea
- Department of Chemical and Biological Engineering, Korea University, Seoul 02841, Korea
- KU-KIST Graduate School of Converging Science and Technology, Korea University, Seoul 02841, Korea
- Corresponding author. (D.J.A.); (D.-N.K.)
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8
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Sakata T. Technical Perspectives on Applications of Biologically Coupled Gate Field-Effect Transistors. SENSORS (BASEL, SWITZERLAND) 2022; 22:4991. [PMID: 35808482 PMCID: PMC9269775 DOI: 10.3390/s22134991] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 05/30/2022] [Revised: 06/27/2022] [Accepted: 06/30/2022] [Indexed: 06/15/2023]
Abstract
Biosensing technologies are required for point-of-care testing (POCT). We determine some physical parameters such as molecular charge and mass, redox potential, and reflective index for measuring biological phenomena. Among such technologies, biologically coupled gate field-effect transistor (Bio-FET) sensors are a promising candidate as a type of potentiometric biosensor for the POCT because they enable the direct detection of ionic and biomolecular charges in a miniaturized device. However, we need to reconsider some technical issues of Bio-FET sensors to expand their possible use for biosensing in the future. In this perspective, the technical issues of Bio-FET sensors are pointed out, focusing on the shielding effect, pH signals, and unique parameters of FETs for biosensing. Moreover, other attractive features of Bio-FET sensors are described in this perspective, such as the integration and the semiconductive materials used for the Bio-FET sensors.
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Affiliation(s)
- Toshiya Sakata
- Department of Materials Engineering, School of Engineering, The University of Tokyo, 7-3-1 Hongo, Bunkyo-ku, Tokyo 113-8656, Japan
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Dong Y, Chen S, Liu TL, Li J. Materials and Interface Designs of Waterproof Field-Effect Transistor Arrays for Detection of Neurological Biomarkers. SMALL (WEINHEIM AN DER BERGSTRASSE, GERMANY) 2022; 18:e2106866. [PMID: 35023615 PMCID: PMC8930526 DOI: 10.1002/smll.202106866] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/08/2021] [Revised: 12/05/2021] [Indexed: 06/14/2023]
Abstract
The continuous, real-time, and concurrent detection of multiple biomarkers in bodily fluids is of high significance for advanced healthcare. While active, semiconductor-based biochemical sensing platforms provide levels of functionality exceeding those of their conventional passive counterparts, the stability of the active biosensors in the liquid environment for continuous operation remains a challenging topic. This work reports the development of a class of flexible and waterproof field-effect transistor arrays for multiplexed biochemical sensing. In this design, monolithic, ultrathin, dense, and low defect nanomembranes consisting of monocrystalline Si and thermally grown SiO2 simultaneously serve as high-performance backplane electronics for signal transduction and stable biofluid barriers with high structural integrity due to the high formation temperature. Coupling the waterproof transistors with various ion-selective membranes through the gate electrode allows for sensitive and selective detection of multiple ions as biomarkers for traumatic brain injury. The study also demonstrates a similar encapsulation structure which enables the design of waterproof amperometric sensors based on this materials strategy and integration scheme. Overall, key advantages in flexibility, stability, and multifunctionality highlight the potential of using such electronic sensing platforms for concurrent, continuous detection of various neurological biomarkers, proving a promising approach for early diagnosis and intervention of chronic diseases.
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Affiliation(s)
- Yan Dong
- Department of Materials Science and Engineering, The Ohio State University, Columbus, OH, 43210, USA
| | - Shulin Chen
- Department of Materials Science and Engineering, The Ohio State University, Columbus, OH, 43210, USA
| | - Tzu-Li Liu
- Department of Materials Science and Engineering, The Ohio State University, Columbus, OH, 43210, USA
| | - Jinghua Li
- Department of Materials Science and Engineering, Chronic Brain Injury Program, The Ohio State University, Columbus, OH, 43210, USA
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Gao J, Wang C, Chu Y, Han Y, Gao Y, Wang Y, Wang C, Liu H, Han L, Zhang Y. Graphene oxide-graphene Van der Waals heterostructure transistor biosensor for SARS-CoV-2 protein detection. Talanta 2021; 240:123197. [PMID: 34996016 PMCID: PMC8719368 DOI: 10.1016/j.talanta.2021.123197] [Citation(s) in RCA: 22] [Impact Index Per Article: 7.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/26/2021] [Revised: 12/27/2021] [Accepted: 12/29/2021] [Indexed: 12/27/2022]
Abstract
The current outbreaking of the coronavirus SARS-CoV-2 pandemic threatens global health and has caused serious concern. Currently there is no specific drug against SARS-CoV-2, therefore, a fast and accurate diagnosis method is an urgent need for the diagnosis, timely treatment and infection control of COVID-19 pandemic. In this work, we developed a field effect transistor (FET) biosensor based on graphene oxide-graphene (GO/Gr) van der Waals heterostructure for selective and ultrasensitive SARS-CoV-2 proteins detection. The GO/Gr van der Waals heterostructure was in-situ formed in the microfluidic channel through π-π stacking. The developed biosensor is capable of SARS-CoV-2 proteins detection within 20 min in the large dynamic range from 10 fg/mL to 100 pg/mL with the limit of detection of as low as ∼8 fg/mL, which shows ∼3 × sensitivity enhancement compared with Gr-FET biosensor. The performance enhancement mechanism was studied based on the transistor-based biosensing theory and experimental results, which is mainly attributed to the enhanced SARS-CoV-2 capture antibody immobilization density due to the introduction of the GO layer on the graphene surface. The spiked SARS-CoV-2 protein samples in throat swab buffer solution were tested to confirm the practical application of the biosensor for SARS-CoV-2 proteins detection. The results indicated that the developed GO/Gr van der Waals heterostructure FET biosensor has strong selectivity and high sensitivity, providing a potential method for SARS-CoV-2 fast and accurate detection.
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Affiliation(s)
- Jianwei Gao
- Institute of Marine Science and Technology, Shandong University, Qingdao, 266237, China.
| | - Chunhua Wang
- Institute of Marine Science and Technology, Shandong University, Qingdao, 266237, China.
| | - Yujin Chu
- Institute of Marine Science and Technology, Shandong University, Qingdao, 266237, China.
| | - Yingkuan Han
- Institute of Marine Science and Technology, Shandong University, Qingdao, 266237, China.
| | - Yakun Gao
- Institute of Marine Science and Technology, Shandong University, Qingdao, 266237, China.
| | - Yanhao Wang
- Institute of Marine Science and Technology, Shandong University, Qingdao, 266237, China.
| | - Chao Wang
- Institute of Marine Science and Technology, Shandong University, Qingdao, 266237, China.
| | - Hong Liu
- State Key Laboratory of Crystal Materials, Shandong University, Jinan, Shandong, 250100, China.
| | - Lin Han
- Institute of Marine Science and Technology, Shandong University, Qingdao, 266237, China.
| | - Yu Zhang
- Institute of Marine Science and Technology, Shandong University, Qingdao, 266237, China.
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