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Sengupta J, Hussain CM. Graphene transistor-based biosensors for rapid detection of SARS-CoV-2. Bioelectrochemistry 2024; 156:108623. [PMID: 38070365 DOI: 10.1016/j.bioelechem.2023.108623] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/12/2023] [Revised: 11/28/2023] [Accepted: 11/30/2023] [Indexed: 01/14/2024]
Abstract
Field-effect transistor (FET) biosensors use FETs to detect changes in the amount of electrical charge caused by biomolecules like antigens and antibodies. COVID-19 can be detected by employing these biosensors by immobilising bio-receptor molecules that bind to the SARS-CoV-2 virus on the FET channel surface and subsequent monitoring of the changes in the current triggered by the virus. Graphene Field-effect Transistor (GFET)-based biosensors utilise graphene, a two-dimensional material with high electrical conductivity, as the sensing element. These biosensors can rapidly detect several biomolecules including the SARS-CoV-2 virus, which is responsible for COVID-19. GFETs are ideal for real-time infectious illness diagnosis due to their great sensitivity and specificity. These graphene transistor-based biosensors could revolutionise clinical diagnostics by generating fast, accurate data that could aid pandemic management. GFETs can also be integrated into point-of-care (POC) diagnostic equipment. Recent advances in GFET-type biosensors for SARS-CoV-2 detection are discussed here, along with their associated challenges and future scope.
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Affiliation(s)
- Joydip Sengupta
- Department of Electronic Science, Jogesh Chandra Chaudhuri College, Kolkata 700033, India.
| | - Chaudhery Mustansar Hussain
- Department of Chemistry and Environmental Science, New Jersey Institute of Technology, Newark, 07102, NJ, USA.
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Sengupta J, Hussain CM. Graphene-based field-effect transistor biosensors for the rapid detection and analysis of viruses: A perspective in view of COVID-19. Carbon Trends 2021; 2:100011. [PMID: 38620735 PMCID: PMC7834279 DOI: 10.1016/j.cartre.2020.100011] [Citation(s) in RCA: 53] [Impact Index Per Article: 17.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/13/2020] [Revised: 11/17/2020] [Accepted: 11/19/2020] [Indexed: 05/03/2023]
Abstract
Current situation of COVID-19 demands a rapid, reliable, cost-effective, facile detection strategy to break the transmission chain and biosensor has emerged as a feasible solution for this purpose. Introduction of nanomaterials has undoubtedly improved the performance of biosensor and the addition of graphene enhanced the sensing ability to a peerless level. Amongst different graphene-based biosensing schemes, graphene field-effect transistor marked its unique presence owing to its ability of ultrasensitive and low-noise detection thereby facilitating instantaneous measurements even in the presence of small amounts of analytes. Recently, graphene field-effect transistor type biosensor is even successfully employed in rapid detection of SARS-CoV-2 and this triggers the interest of the scientific community in reviewing the current developments in graphene field-effect transistor. Subsequently, in this article, the recent progress in graphene field-effect transistor type biosensors for the detection of the virus is reviewed and challenges along with their strengths are discussed.
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Affiliation(s)
- Joydip Sengupta
- Department of Electronic Science, Jogesh Chandra Chaudhuri College (Affiliated to University of Calcutta), Kolkata 700 033, W.B., India
| | - Chaudhery Mustansar Hussain
- Department of Chemistry and Environmental Science, New Jersey Institute of Technology, Newark, New Jersey, USA
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Xu L, Wen Y, Pandit S, Mokkapati VRSS, Mijakovic I, Li Y, Ding M, Ren S, Li W, Liu G. Graphene-based biosensors for the detection of prostate cancer protein biomarkers: a review. BMC Chem 2019; 13:112. [PMID: 31508598 PMCID: PMC6720397 DOI: 10.1186/s13065-019-0611-x] [Citation(s) in RCA: 27] [Impact Index Per Article: 5.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/21/2018] [Accepted: 07/15/2019] [Indexed: 02/07/2023] Open
Abstract
Prostate cancer (PC) is the sixth most common cancer type in the world, which causes approximately 10% of total cancer fatalities. The detection of protein biomarkers in body fluids is the key topic for the diagnosis and prognosis of PC. Highly sensitive screening of PC is the most effective approach for reducing mortality. Thus, there are a growing number of literature that recognizes the importance of new technologies for early diagnosis of PC. Graphene is playing an important role in the biosensor field with remarkable physical, optical, electrochemical and magnetic properties. Many recent studies demonstrated the potential of graphene materials for sensitive detection of protein biomarkers. In this review, the graphene-based biosensors toward PC analysis are mainly discussed in two groups: Firstly, novel biosensor interfaces were constructed through the modification of graphene materials onto sensor surfaces. Secondly, ingenious signal amplification strategies were developed using graphene materials as catalysts or carriers. Graphene-based biosensors have exhibited remarkable performance with high sensitivities, wide detection ranges, and long-term stabilities.
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Affiliation(s)
- Li Xu
- 1Laboratory of Biometrory, Division of Chemistry and Ionizing Radiation Measurement Technology, Shanghai Institute of Measurement and Testing Technology, Shanghai, 201203 People's Republic of China.,2Division of Systems and Synthetic Biology, Department of Biology and Biological Engineering, Chalmers University of Technology, 41126 Gothenburg, Sweden
| | - Yanli Wen
- 1Laboratory of Biometrory, Division of Chemistry and Ionizing Radiation Measurement Technology, Shanghai Institute of Measurement and Testing Technology, Shanghai, 201203 People's Republic of China
| | - Santosh Pandit
- 2Division of Systems and Synthetic Biology, Department of Biology and Biological Engineering, Chalmers University of Technology, 41126 Gothenburg, Sweden
| | - Venkata R S S Mokkapati
- 2Division of Systems and Synthetic Biology, Department of Biology and Biological Engineering, Chalmers University of Technology, 41126 Gothenburg, Sweden
| | - Ivan Mijakovic
- 2Division of Systems and Synthetic Biology, Department of Biology and Biological Engineering, Chalmers University of Technology, 41126 Gothenburg, Sweden.,3The Novo Nordisk Foundation Center for Biosustainability, Technical University of Denmark, 2800 Lyngby, Denmark
| | - Yan Li
- 1Laboratory of Biometrory, Division of Chemistry and Ionizing Radiation Measurement Technology, Shanghai Institute of Measurement and Testing Technology, Shanghai, 201203 People's Republic of China
| | - Min Ding
- 1Laboratory of Biometrory, Division of Chemistry and Ionizing Radiation Measurement Technology, Shanghai Institute of Measurement and Testing Technology, Shanghai, 201203 People's Republic of China
| | - Shuzhen Ren
- 1Laboratory of Biometrory, Division of Chemistry and Ionizing Radiation Measurement Technology, Shanghai Institute of Measurement and Testing Technology, Shanghai, 201203 People's Republic of China
| | - Wen Li
- 1Laboratory of Biometrory, Division of Chemistry and Ionizing Radiation Measurement Technology, Shanghai Institute of Measurement and Testing Technology, Shanghai, 201203 People's Republic of China
| | - Gang Liu
- 1Laboratory of Biometrory, Division of Chemistry and Ionizing Radiation Measurement Technology, Shanghai Institute of Measurement and Testing Technology, Shanghai, 201203 People's Republic of China
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