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Wang J, Dong H, Ji Y, Li Y, Lee ST. Patterned graphene: An effective platform for adsorption, immobilization, and destruction of SARS-CoV-2 M pro. J Colloid Interface Sci 2024; 673:202-215. [PMID: 38875787 DOI: 10.1016/j.jcis.2024.06.072] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/07/2024] [Revised: 06/05/2024] [Accepted: 06/07/2024] [Indexed: 06/16/2024]
Abstract
To address the ongoing challenges posed by the SARS-CoV-2 and potentially stronger viruses in the future, the development of effective methods to fabricate patterned graphene (PG) and other precisely functional products has become a new research frontier. Herein, we modeled the "checkerboard" graphene (CG) and stripped graphene (SG) as representatives of PG, and studied their interaction mechanism with the target protein (Mpro) by molecular dynamics simulation. The calculation results on the binding strength and the root mean square deviation values of the active pocket revealed that PG is an effective platform for adsorption, immobilization, and destruction of Mpro. Specifically, CG is found to promote disruption of the active pocket for Mpro, but the presence of "checkerboard" oxidized regions inhibits the adsorption of Mpro. Meanwhile, the SG can effectively confine Mpro within the non-oxidized strips and enhances their binding strength, but doesn't play well on disrupting the active pocket. Our work not only elucidates the biological effects of PGs, but also provides guidance for their targeted and precise utilization in combating the SARS-CoV-2.
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Affiliation(s)
- Jiawen Wang
- Macao Institute of Materials Science and Engineering, Macau University of Science and Technology, Taipa 999078, Macau; Institute of Functional Nano & Soft Materials (FUNSOM), Soochow University, Suzhou, Jiangsu 215123, China
| | - Huilong Dong
- School of Materials Engineering, Changshu Institute of Technology, Changshu, Jiangsu 215500, China.
| | - Yujin Ji
- Institute of Functional Nano & Soft Materials (FUNSOM), Soochow University, Suzhou, Jiangsu 215123, China
| | - Youyong Li
- Macao Institute of Materials Science and Engineering, Macau University of Science and Technology, Taipa 999078, Macau; Institute of Functional Nano & Soft Materials (FUNSOM), Soochow University, Suzhou, Jiangsu 215123, China.
| | - Shuit-Tong Lee
- Macao Institute of Materials Science and Engineering, Macau University of Science and Technology, Taipa 999078, Macau; Institute of Functional Nano & Soft Materials (FUNSOM), Soochow University, Suzhou, Jiangsu 215123, China.
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2
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Wu X, Gao S, Xiao L, Wang J. WSe 2 Negative Capacitance Field-Effect Transistor for Biosensing Applications. ACS APPLIED MATERIALS & INTERFACES 2024; 16:42597-42607. [PMID: 39102741 DOI: 10.1021/acsami.4c06648] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 08/07/2024]
Abstract
Field-effect transistor (FET) biosensors based on two-dimensional (2D) materials are highly sought after for their high sensitivity, label-free detection, fast response, and ease of on-chip integration. However, the subthreshold swing (SS) of FETs is constrained by the Boltzmann limit and cannot fall below 60 mV/dec, hindering sensor sensitivity enhancement. Additionally, the gate-leakage current of 2D material biosensors in liquid environments significantly increases, adversely affecting the detection accuracy and stability. Based on the principle of negative capacitance, this paper presents for the first time a two-dimensional material WSe2 negative capacitance field-effect transistor (NCFET) with a minimum subthreshold swing of 56 mV/dec in aqueous solution. The NCFET shows a significantly improved biosensor function. The pH detection sensitivity of the NCFET biosensor reaches 994 pH-1, nearly an order of magnitude higher than that of the traditional two-dimensional WSe2 FET biosensor. The Al2O3/HfZrO (HZO) bilayer dielectric in the NCFET not only contributes to negative capacitance characteristics in solution but also significantly reduces the leakage in solution. Utilizing an enzyme catalysis method, the WSe2 NCFET biosensor demonstrates a specific detection of glucose molecules, achieving a high sensitivity of 4800 A/A in a 5 mM glucose solution and a low detection limit (10-9 M). Further experiments also exhibit the ability of the biosensor to detect glucose in sweat.
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Affiliation(s)
- Xian Wu
- School of Integrated Circuits, Tsinghua University, Beijing 100084, China
| | - Sen Gao
- School of Integrated Circuits, Tsinghua University, Beijing 100084, China
| | - Lei Xiao
- School of Integrated Circuits, Tsinghua University, Beijing 100084, China
| | - Jing Wang
- School of Integrated Circuits, Tsinghua University, Beijing 100084, China
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3
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Sousa TASL, Almeida NBF, Santos FA, Filgueiras PS, Corsini CA, Lacerda CMS, Silva TG, Grenfell RFQ, Plentz F. Ultrafast and highly sensitive detection of SARS-CoV-2 spike protein by field-effect transistor graphene-based biosensors. NANOTECHNOLOGY 2024; 35:425503. [PMID: 39059417 DOI: 10.1088/1361-6528/ad67e8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/13/2024] [Accepted: 07/26/2024] [Indexed: 07/28/2024]
Abstract
The severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), etiological agent for the coronavirus disease 2019 (COVID-19), has resulted in over 775 million global infections. Early diagnosis remains pivotal for effective epidemiological surveillance despite the availability of vaccines. Antigen-based assays are advantageous for early COVID-19 detection due to their simplicity, cost-effectiveness, and suitability for point-of-care testing (PoCT). This study introduces a graphene field-effect transistor-based biosensor designed for high sensitivity and rapid response to the SARS-CoV-2 spike protein. By functionalizing graphene with monoclonal antibodies and applying short-duration gate voltage pulses, we achieve selective detection of the viral spike protein in human serum within 100 µs and at concentrations as low as 1 fg ml-1, equivalent to 8 antigen molecules perµl of blood. Furthermore, the biosensor estimates spike protein concentrations in serum from COVID-19 patients. Our platform demonstrates potential for next-generation PoCT antigen assays, promising fast and sensitive diagnostics for COVID-19 and other infectious diseases.
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Affiliation(s)
- Thiago A S L Sousa
- Departamento de Física, Universidade Federal de Minas Gerais, Avenida Presidente Antônio Carlos 6627 Belo Horizonte, Minas Gerais 31270-901, Brazil
- DTU Physics, Technical University of Denmark, Kongens Lyngby 2800, Denmark
| | - Nathalie B F Almeida
- Departamento de Física, Universidade Federal de Minas Gerais, Avenida Presidente Antônio Carlos 6627 Belo Horizonte, Minas Gerais 31270-901, Brazil
- Instituto René Rachou-Fundação Oswaldo Cruz, Avenida Augusto de Lima 1715, Belo Horizonte, Minas Gerais 30190-002, Brazil
| | - Fabrício A Santos
- Departamento de Física, Universidade Federal de Minas Gerais, Avenida Presidente Antônio Carlos 6627 Belo Horizonte, Minas Gerais 31270-901, Brazil
| | - Priscilla S Filgueiras
- Instituto René Rachou-Fundação Oswaldo Cruz, Avenida Augusto de Lima 1715, Belo Horizonte, Minas Gerais 30190-002, Brazil
| | - Camila A Corsini
- Instituto René Rachou-Fundação Oswaldo Cruz, Avenida Augusto de Lima 1715, Belo Horizonte, Minas Gerais 30190-002, Brazil
| | - Camila M S Lacerda
- Departamento de Física, Universidade Federal de Minas Gerais, Avenida Presidente Antônio Carlos 6627 Belo Horizonte, Minas Gerais 31270-901, Brazil
| | - Thais G Silva
- Departamento de Física, Universidade Federal de Minas Gerais, Avenida Presidente Antônio Carlos 6627 Belo Horizonte, Minas Gerais 31270-901, Brazil
| | - Rafaella F Q Grenfell
- Instituto René Rachou-Fundação Oswaldo Cruz, Avenida Augusto de Lima 1715, Belo Horizonte, Minas Gerais 30190-002, Brazil
| | - Flavio Plentz
- Departamento de Física, Universidade Federal de Minas Gerais, Avenida Presidente Antônio Carlos 6627 Belo Horizonte, Minas Gerais 31270-901, Brazil
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4
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Zhao W, Zhang W, Chen J, Li H, Han L, Li X, Wang J, Song W, Xu C, Cai X, Wang L. Sensitivity-Enhancing Strategies of Graphene Field-Effect Transistor Biosensors for Biomarker Detection. ACS Sens 2024; 9:2705-2727. [PMID: 38843307 DOI: 10.1021/acssensors.4c00322] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 06/29/2024]
Abstract
The ultrasensitive recognition of biomarkers plays a crucial role in the precise diagnosis of diseases. Graphene-based field-effect transistors (GFET) are considered the most promising devices among the next generation of biosensors. GFET biosensors possess distinct advantages, including label-free, ease of integration and operation, and the ability to directly detect biomarkers in liquid environments. This review summarized recent advances in GFET biosensors for biomarker detection, with a focus on interface functionalization. Various sensitivity-enhancing strategies have been overviewed for GFET biosensors, from the perspective of optimizing graphene synthesis and transfer methods, refinement of surface functionalization strategies for the channel layer and gate electrode, design of biorecognition elements and reduction of nonspecific adsorption. Further, this review extensively explores GFET biosensors functionalized with antibodies, aptamers, and enzymes. It delves into sensitivity-enhancing strategies employed in the detection of biomarkers for various diseases (such as cancer, cardiovascular diseases, neurodegenerative disorders, infectious viruses, etc.) along with their application in integrated microfluidic systems. Finally, the issues and challenges in strategies for the modulation of biosensing interfaces are faced by GFET biosensors in detecting biomarkers.
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Affiliation(s)
- Weilong Zhao
- School of Mechanical Engineering, Qilu University of Technology (Shandong Academy of Sciences), Jinan 250353, China
- Shandong Institute of Mechanical Design and Research, Jinan 250353, China
| | - Wenhong Zhang
- College of Mechanical Engineering, Donghua University, Shanghai 201620, China
| | - Jun Chen
- School of Mechanical Engineering, Qilu University of Technology (Shandong Academy of Sciences), Jinan 250353, China
- Shandong Institute of Mechanical Design and Research, Jinan 250353, China
| | - Huimin Li
- School of Mechanical Engineering, Qilu University of Technology (Shandong Academy of Sciences), Jinan 250353, China
- Shandong Institute of Mechanical Design and Research, Jinan 250353, China
| | - Lin Han
- Shenzhen Research Institute of Shandong University, Shenzhen 518057, China
| | - Xinyu Li
- Department of Oncology, Shandong Provincial Hospital Affiliated to Shandong University, Shandong 250021, China
| | - Jing Wang
- College of Mechanical Engineering, Donghua University, Shanghai 201620, China
| | - Wei Song
- Department of Oncology, Shandong Provincial Hospital Affiliated to Shandong University, Shandong 250021, China
| | - Chonghai Xu
- School of Mechanical Engineering, Qilu University of Technology (Shandong Academy of Sciences), Jinan 250353, China
- Shandong Institute of Mechanical Design and Research, Jinan 250353, China
| | - Xinxia Cai
- State Key Laboratory of Transducer Technology, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100190, China
| | - Li Wang
- School of Mechanical Engineering, Qilu University of Technology (Shandong Academy of Sciences), Jinan 250353, China
- Shandong Institute of Mechanical Design and Research, Jinan 250353, China
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5
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Tian R, Ma W, Wang L, Xie W, Wang Y, Yin Y, Weng T, He S, Fang S, Liang L, Wang L, Wang D, Bai J. The combination of DNA nanostructures and materials for highly sensitive electrochemical detection. Bioelectrochemistry 2024; 157:108651. [PMID: 38281367 DOI: 10.1016/j.bioelechem.2024.108651] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/24/2023] [Revised: 01/17/2024] [Accepted: 01/18/2024] [Indexed: 01/30/2024]
Abstract
Due to the wide range of electrochemical devices available, DNA nanostructures and material-based technologies have been greatly broadened. They have been actively used to create a variety of beautiful nanostructures owing to their unmatched programmability. Currently, a variety of electrochemical devices have been used for rapid sensing of biomolecules and other diagnostic applications. Here, we provide a brief overview of recent advances in DNA-based biomolecular assays. Biosensing platform such as electrochemical biosensor, nanopore biosensor, and field-effect transistor biosensors (FET), which are equipped with aptamer, DNA walker, DNAzyme, DNA origami, and nanomaterials, has been developed for amplification detection. Under the optimal conditions, the proposed biosensor has good amplification detection performance. Further, we discussed the challenges of detection strategies in clinical applications and offered the prospect of this field.
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Affiliation(s)
- Rong Tian
- Chongqing School, University of Chinese Academy of Sciences & Chongqing Institute of Green and Intelligent Technology, Chinese Academy of Sciences, 400714, PR China.
| | - Wenhao Ma
- Bioengineering College of Chongqing University, Chongqing 400044, PR China
| | - Lue Wang
- School of Pharmaceutical Sciences, Tsinghua University, Beijing 100084, PR China
| | - Wanyi Xie
- Chongqing School, University of Chinese Academy of Sciences & Chongqing Institute of Green and Intelligent Technology, Chinese Academy of Sciences, 400714, PR China
| | - Yunjiao Wang
- Chongqing School, University of Chinese Academy of Sciences & Chongqing Institute of Green and Intelligent Technology, Chinese Academy of Sciences, 400714, PR China
| | - Yajie Yin
- Chongqing School, University of Chinese Academy of Sciences & Chongqing Institute of Green and Intelligent Technology, Chinese Academy of Sciences, 400714, PR China
| | - Ting Weng
- Chongqing School, University of Chinese Academy of Sciences & Chongqing Institute of Green and Intelligent Technology, Chinese Academy of Sciences, 400714, PR China
| | - Shixuan He
- Chongqing School, University of Chinese Academy of Sciences & Chongqing Institute of Green and Intelligent Technology, Chinese Academy of Sciences, 400714, PR China
| | - Shaoxi Fang
- Chongqing School, University of Chinese Academy of Sciences & Chongqing Institute of Green and Intelligent Technology, Chinese Academy of Sciences, 400714, PR China
| | - Liyuan Liang
- Chongqing School, University of Chinese Academy of Sciences & Chongqing Institute of Green and Intelligent Technology, Chinese Academy of Sciences, 400714, PR China
| | - Liang Wang
- Chongqing School, University of Chinese Academy of Sciences & Chongqing Institute of Green and Intelligent Technology, Chinese Academy of Sciences, 400714, PR China.
| | - Deqiang Wang
- Chongqing School, University of Chinese Academy of Sciences & Chongqing Institute of Green and Intelligent Technology, Chinese Academy of Sciences, 400714, PR China.
| | - Jingwei Bai
- School of Pharmaceutical Sciences, Tsinghua University, Beijing 100084, PR China
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6
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Mukherjee P, Kundu S, Ganguly R, Barui A, RoyChaudhuri C. Deformed graphene FET biosensor on textured glass coupled with dielectrophoretic trapping for ultrasensitive detection of GFAP. NANOTECHNOLOGY 2024; 35:295502. [PMID: 38604130 DOI: 10.1088/1361-6528/ad3d65] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/15/2023] [Accepted: 04/11/2024] [Indexed: 04/13/2024]
Abstract
Numerous efforts have been undertaken to mitigate the Debye screening effect of FET biosensors for achieving higher sensitivity. There are few reports that show sub-femtomolar detection of biomolecules by FET mechanisms but they either suffer from significant background noise or lack robust control. In this aspect, deformed/crumpled graphene has been recently deployed by other researchers for various biomolecule detection like DNA, COVID-19 spike proteins and immunity markers like IL-6 at sub-femtomolar levels. However, the chemical vapor deposition (CVD) approach for graphene fabrication suffers from various surface contamination while the transfer process induces structural defects. In this paper, an alternative fabrication methodology has been proposed where glass substrate has been initially texturized by wet chemical etching through the sacrificial layer of synthesized silver nanoparticles, obtained by annealing of thin silver films leading to solid state dewetting. Graphene has been subsequently deposited by thermal reduction technique from graphene oxide solution. The resulting deformed graphene structure exhibits higher sensor response towards glial fibrillary acidic protein (GFAP) detection with respect to flat graphene owing to the combined effect of reduced Debye screening and higher surface area for receptor immobilization. Additionally, another interesting aspect of the reported work lies in the biomolecule capture by dielectrophoretic (DEP) transport on the crests of the convex surfaces of graphene in a coplanar gated topology structure which has resulted in 10 aM and 28 aM detection limits of GFAP in buffer and undiluted plasma respectively, within 15 min of application of analyte. The detection limit in buffer is almost four decades lower than that documented for GFAP using biosensors which is is expected to pave way for advancing graphene FET based sensors towards ultrasensitive point-of-care diagnosis of GFAP, a biomarker for traumatic brain injury.
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Affiliation(s)
- P Mukherjee
- Department of Electronics & Telecommunication Engineering, Indian Institute of Engineering Science & Technology, Shibpur, Howrah, India
| | - S Kundu
- Dr Bholanath Chakraborty Memorial Fundamental Research Laboratory (under CCRH), Centre of Healthcare Science & Technology, Indian Institute of Engineering Science & Technology, Shibpur, Howrah, India
| | - R Ganguly
- Centre of Healthcare Science & Technology, Indian Institute of Engineering Science & Technology, Shibpur, Howrah, India
| | - A Barui
- Centre of Healthcare Science & Technology, Indian Institute of Engineering Science & Technology, Shibpur, Howrah, India
| | - C RoyChaudhuri
- Department of Electronics & Telecommunication Engineering, Indian Institute of Engineering Science & Technology, Shibpur, Howrah, India
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7
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Sadique MA, Yadav S, Khan R, Srivastava AK. Engineered two-dimensional nanomaterials based diagnostics integrated with internet of medical things (IoMT) for COVID-19. Chem Soc Rev 2024; 53:3774-3828. [PMID: 38433614 DOI: 10.1039/d3cs00719g] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 03/05/2024]
Abstract
More than four years have passed since an inimitable coronavirus disease (COVID-19) pandemic hit the globe in 2019 after an uncontrolled transmission of the severe acute respiratory syndrome (SARS-CoV-2) infection. The occurrence of this highly contagious respiratory infectious disease led to chaos and mortality all over the world. The peak paradigm shift of the researchers was inclined towards the accurate and rapid detection of diseases. Since 2019, there has been a boost in the diagnostics of COVID-19 via numerous conventional diagnostic tools like RT-PCR, ELISA, etc., and advanced biosensing kits like LFIA, etc. For the same reason, the use of nanotechnology and two-dimensional nanomaterials (2DNMs) has aided in the fabrication of efficient diagnostic tools to combat COVID-19. This article discusses the engineering techniques utilized for fabricating chemically active E2DNMs that are exceptionally thin and irregular. The techniques encompass the introduction of heteroatoms, intercalation of ions, and the design of strain and defects. E2DNMs possess unique characteristics, including a substantial surface area and controllable electrical, optical, and bioactive properties. These characteristics enable the development of sophisticated diagnostic platforms for real-time biosensors with exceptional sensitivity in detecting SARS-CoV-2. Integrating the Internet of Medical Things (IoMT) with these E2DNMs-based advanced diagnostics has led to the development of portable, real-time, scalable, more accurate, and cost-effective SARS-CoV-2 diagnostic platforms. These diagnostic platforms have the potential to revolutionize SARS-CoV-2 diagnosis by making it faster, easier, and more accessible to people worldwide, thus making them ideal for resource-limited settings. These advanced IoMT diagnostic platforms may help with combating SARS-CoV-2 as well as tracking and predicting the spread of future pandemics, ultimately saving lives and mitigating their impact on global health systems.
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Affiliation(s)
- Mohd Abubakar Sadique
- CSIR - Advanced Materials and Processes Research Institute (AMPRI), Hoshangabad Road, Bhopal 462026, India.
- Academy of Scientific and Innovative Research (AcSIR), Ghaziabad 201002, India
| | - Shalu Yadav
- CSIR - Advanced Materials and Processes Research Institute (AMPRI), Hoshangabad Road, Bhopal 462026, India.
- Academy of Scientific and Innovative Research (AcSIR), Ghaziabad 201002, India
| | - Raju Khan
- CSIR - Advanced Materials and Processes Research Institute (AMPRI), Hoshangabad Road, Bhopal 462026, India.
- Academy of Scientific and Innovative Research (AcSIR), Ghaziabad 201002, India
| | - Avanish K Srivastava
- CSIR - Advanced Materials and Processes Research Institute (AMPRI), Hoshangabad Road, Bhopal 462026, India.
- Academy of Scientific and Innovative Research (AcSIR), Ghaziabad 201002, India
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8
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Liu Y, Wang M, Chen F, Zhang Y, Hai W. On-site detection of infectious disease based on CaCO 3-based magnetic micromotor integrated with graphene field effect transistor. Mikrochim Acta 2024; 191:257. [PMID: 38600405 DOI: 10.1007/s00604-024-06345-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/15/2024] [Accepted: 04/03/2024] [Indexed: 04/12/2024]
Abstract
A new detection platform based on CaCO3-based magnetic micromotor (CaCO3@Fe3O4) integrated with graphene field effect transistor (GFET) was construct and used for on-site SARS-CoV-2 coronavirus pathogen detection. The CaCO3@Fe3O4 micromotor, which was modified with anti-SARS-CoV-2 (labelled antibody, AntiE1), can self-moved in the solution containing hydrochloric acid (HCl) and effective to capture the SARS-CoV-2 coronavirus pathogens. After magnetic field separation, the capture micromotor was detected by GFET, exhibiting a good linear relationship within the range of 1 ag/mL to 100 ng/mL and low detection limit (0.39 ag/mL). Furthermore, the detection platform was also successfully applied to detection of SARS-CoV-2 coronavirus pathogens in soil solution, indicating the potential use in on-site application.
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Affiliation(s)
- Yushuang Liu
- Inner Mongolia Key Laboratory of Carbon Nanomaterials, Nano Innovation Institute (NII), College of Chemistry and Materials Science, Inner Mongolia Minzu University, Tongliao, 028000, People's Republic of China.
- Key Laboratory of Mongolian Medicine Research and Development Engineering, Ministry of Education, Inner Mongolia Minzu University, Tongliao, 028000, People's Republic of China.
| | - Mingxuan Wang
- Inner Mongolia Key Laboratory of Carbon Nanomaterials, Nano Innovation Institute (NII), College of Chemistry and Materials Science, Inner Mongolia Minzu University, Tongliao, 028000, People's Republic of China
| | - Furong Chen
- Inner Mongolia Key Laboratory of Carbon Nanomaterials, Nano Innovation Institute (NII), College of Chemistry and Materials Science, Inner Mongolia Minzu University, Tongliao, 028000, People's Republic of China
| | - Ying Zhang
- Inner Mongolia Key Laboratory of Carbon Nanomaterials, Nano Innovation Institute (NII), College of Chemistry and Materials Science, Inner Mongolia Minzu University, Tongliao, 028000, People's Republic of China
| | - Wenfeng Hai
- Inner Mongolia Key Laboratory of Carbon Nanomaterials, Nano Innovation Institute (NII), College of Chemistry and Materials Science, Inner Mongolia Minzu University, Tongliao, 028000, People's Republic of China
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9
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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] [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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10
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Lim J, Zhou S, Baek J, Kim AY, Valera E, Sweedler J, Bashir R. A Blood Drying Process for DNA Amplification. SMALL (WEINHEIM AN DER BERGSTRASSE, GERMANY) 2024; 20:e2307959. [PMID: 37888793 DOI: 10.1002/smll.202307959] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/20/2023] [Indexed: 10/28/2023]
Abstract
The presence of numerous inhibitors in blood makes their use in nucleic acid amplification techniques difficult. Current methods for extracting and purifying pathogenic DNA from blood involve removal of inhibitors, resulting in low and inconsistent DNA recovery rates. To address this issue, a biphasic method is developed that simultaneously achieves inhibitor inactivation and DNA amplification without the need for a purification step. Inhibitors are physically trapped in the solid-phase dried blood matrix by blood drying, while amplification reagents can move into the solid nano-porous dried blood and initiate the amplification. It is demonstrated that the biphasic method has significant improvement in detection limits for bacteria such as Escherichia coli, Methicillin-resistant Staphylococcus aureus, Methicillin-Sensitive Staphylococcus aureus using loop-mediated isothermal amplification (LAMP) and recombinase polymerase amplification (RPA). Several factors, such as drying time, sample volume, and material properties are characterized to increase sensitivity and expand the application of the biphasic assay to blood diagnostics. With further automation, this biphasic technique has the potential to be used as a diagnostic platform for the detection of pathogens eliminating lengthy culture steps.
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Affiliation(s)
- Jongwon Lim
- Nick Holonyak Jr. Micro and Nanotechnology Laboratory, University of Illinois at Urbana-Champaign, Urbana, IL, 61801, USA
- Department of Bioengineering, University of Illinois at Urbana-Champaign, Urbana, IL, 61801, USA
| | - Shuaizhen Zhou
- Department of Energy Center for Advanced Bioenergy and Bioproducts Innovation, University of Illinois at Urbana-Champaign, Urbana, IL, 61801, USA
- Carl R. Woese Institute for Genomic Biology, University of Illinois at Urbana-Champaign, Urbana, IL, 61801, USA
| | - Janice Baek
- Department of Materials Science and Engineering, University of Illinois at Urbana-Champaign, Urbana, IL, 61801, USA
| | - Alicia Yeaeun Kim
- Department of Bioengineering, University of Illinois at Urbana-Champaign, Urbana, IL, 61801, USA
| | - Enrique Valera
- Nick Holonyak Jr. Micro and Nanotechnology Laboratory, University of Illinois at Urbana-Champaign, Urbana, IL, 61801, USA
- Department of Bioengineering, University of Illinois at Urbana-Champaign, Urbana, IL, 61801, USA
- Carl R. Woese Institute for Genomic Biology, University of Illinois at Urbana-Champaign, Urbana, IL, 61801, USA
| | - Jonathan Sweedler
- Department of Energy Center for Advanced Bioenergy and Bioproducts Innovation, University of Illinois at Urbana-Champaign, Urbana, IL, 61801, USA
- Carl R. Woese Institute for Genomic Biology, University of Illinois at Urbana-Champaign, Urbana, IL, 61801, USA
- Department of Chemistry, University of Illinois at Urbana-Champaign, Urbana, IL, 61801, USA
| | - Rashid Bashir
- Nick Holonyak Jr. Micro and Nanotechnology Laboratory, University of Illinois at Urbana-Champaign, Urbana, IL, 61801, USA
- Department of Bioengineering, University of Illinois at Urbana-Champaign, Urbana, IL, 61801, USA
- Department of Materials Science and Engineering, University of Illinois at Urbana-Champaign, Urbana, IL, 61801, USA
- Department of Biomedical and Translational Science, Carle Illinois College of Medicine, University of Illinois at Urbana-Champaign, Urbana, IL, 61801, USA
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11
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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.
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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.
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12
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Stokes K, Clark K, Odetade D, Hardy M, Goldberg Oppenheimer P. Advances in lithographic techniques for precision nanostructure fabrication in biomedical applications. DISCOVER NANO 2023; 18:153. [PMID: 38082047 PMCID: PMC10713959 DOI: 10.1186/s11671-023-03938-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 08/24/2023] [Accepted: 12/04/2023] [Indexed: 01/31/2024]
Abstract
Nano-fabrication techniques have demonstrated their vital importance in technological innovation. However, low-throughput, high-cost and intrinsic resolution limits pose significant restrictions, it is, therefore, paramount to continue improving existing methods as well as developing new techniques to overcome these challenges. This is particularly applicable within the area of biomedical research, which focuses on sensing, increasingly at the point-of-care, as a way to improve patient outcomes. Within this context, this review focuses on the latest advances in the main emerging patterning methods including the two-photon, stereo, electrohydrodynamic, near-field electrospinning-assisted, magneto, magnetorheological drawing, nanoimprint, capillary force, nanosphere, edge, nano transfer printing and block copolymer lithographic technologies for micro- and nanofabrication. Emerging methods enabling structural and chemical nano fabrication are categorised along with prospective chemical and physical patterning techniques. Established lithographic techniques are briefly outlined and the novel lithographic technologies are compared to these, summarising the specific advantages and shortfalls alongside the current lateral resolution limits and the amenability to mass production, evaluated in terms of process scalability and cost. Particular attention is drawn to the potential breakthrough application areas, predominantly within biomedical studies, laying the platform for the tangible paths towards the adoption of alternative developing lithographic technologies or their combination with the established patterning techniques, which depends on the needs of the end-user including, for instance, tolerance of inherent limits, fidelity and reproducibility.
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Affiliation(s)
- Kate Stokes
- Advanced Nanomaterials Structures and Applications Laboratories, School of Chemical Engineering, College of Engineering and Physical Sciences, University of Birmingham, Edgbaston, Birmingham, B15 2TT, UK
| | - Kieran Clark
- Advanced Nanomaterials Structures and Applications Laboratories, School of Chemical Engineering, College of Engineering and Physical Sciences, University of Birmingham, Edgbaston, Birmingham, B15 2TT, UK
| | - David Odetade
- Advanced Nanomaterials Structures and Applications Laboratories, School of Chemical Engineering, College of Engineering and Physical Sciences, University of Birmingham, Edgbaston, Birmingham, B15 2TT, UK
| | - Mike Hardy
- School of Biological Sciences, Institute for Global Food Security, Queen's University Belfast, Belfast, BT9 5DL, UK
- Centre for Quantum Materials and Technology, School of Mathematics and Physics, Queen's University Belfast, Belfast, BT7 1NN, UK
| | - Pola Goldberg Oppenheimer
- Advanced Nanomaterials Structures and Applications Laboratories, School of Chemical Engineering, College of Engineering and Physical Sciences, University of Birmingham, Edgbaston, Birmingham, B15 2TT, UK.
- Healthcare Technologies Institute, Institute of Translational Medicine, Mindelsohn Way, Birmingham, B15 2TH, UK.
- Cavendish Laboratory, Department of Physics, University of Cambridge, JJ Thomson Avenue, Cambridge, CB3 0HE, UK.
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13
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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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14
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Abrha FH, Wondimu TH, Kahsay MH, Fufa Bakare F, Andoshe DM, Kim JY. Graphene-based biosensors for detecting coronavirus: a brief review. NANOSCALE 2023; 15:18184-18197. [PMID: 37927083 DOI: 10.1039/d3nr04583h] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/07/2023]
Abstract
The coronavirus (SARS-CoV-2) disease has affected the globe with 770 437 327 confirmed cases, including about 6 956 900 deaths, according to the World Health Organization (WHO) as of September 2023. Hence, it is imperative to develop diagnostic technologies, such as a rapid cost-effective SARS-CoV-2 detection method. A typical biosensor enables biomolecule detection with an appropriate transducer by generating a measurable signal from the sample. Graphene can be employed as a component for ultrasensitive and selective biosensors based on its physical, optical, and electrochemical properties. Herein, we briefly review graphene-based electrochemical, field-effect transistor (FET), and surface plasmon biosensors for detecting the SARS-CoV-2 target. In addition, details on the surface modification, immobilization, sensitivity and limit of detection (LOD) of all three sensors with regard to SARS-CoV-2 were reported. Finally, the point-of-care (POC) detection of SARS-CoV-2 using a portable smartphone and a wearable watch is a current topic of interest.
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Affiliation(s)
- Filimon Hadish Abrha
- Department of Chemistry, College of Natural and Computational Sciences, Aksum University, Aksum 1010, Ethiopia
- Department of Materials Science and Engineering, Adama Science and Technology University, Adama 1888, Ethiopia.
| | - Tadele Hunde Wondimu
- Department of Materials Science and Engineering, Adama Science and Technology University, Adama 1888, Ethiopia.
- Center of Advanced Materials Science and Engineering, Adama Science and Technology University, Adama 1888, Ethiopia
| | - Mebrahtu Hagos Kahsay
- Department of Applied Chemistry, College of Natural and Computational Sciences, Mekelle University, Mekelle 231, Ethiopia
- Department of Applied Chemistry, Adama Science and Technology University, Adama 1888, Ethiopia
| | - Fetene Fufa Bakare
- Department of Materials Science and Engineering, Adama Science and Technology University, Adama 1888, Ethiopia.
- Center of Advanced Materials Science and Engineering, Adama Science and Technology University, Adama 1888, Ethiopia
| | - Dinsefa Mensur Andoshe
- Department of Materials Science and Engineering, Adama Science and Technology University, Adama 1888, Ethiopia.
| | - Jung Yong Kim
- Department of Materials Science and Engineering, Adama Science and Technology University, Adama 1888, Ethiopia.
- Center of Advanced Materials Science and Engineering, Adama Science and Technology University, Adama 1888, Ethiopia
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15
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Wang H, Sun Y, Zhou Y, Liu Y, Chen S, Sun W, Zhang Z, Guo J, Yang C, Li Z, Chen L. Unamplified system for sensitive and typing detection of ASFV by the cascade platform that CRISPR-Cas12a combined with graphene field-effect transistor. Biosens Bioelectron 2023; 240:115637. [PMID: 37669587 DOI: 10.1016/j.bios.2023.115637] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/31/2023] [Revised: 08/23/2023] [Accepted: 08/24/2023] [Indexed: 09/07/2023]
Abstract
At present, the 100% case fatality and the cross-infection of virus strains make the ASFV 's harm to society continue to expand. The absence of an effective commercial vaccine poses early detection remains the most effective means of curbing ASFV infection. Here, we report a cascaded detection platform based on the CRISPR-Cas12a system combined with graphene field-effect transistor sensors. The cascade platform could detect ASFV as low as 0.5 aM within 30 min and achieve typing of wild and vaccine strains of ASFV in a single detection system. The evaluation of 16 clinical samples proved that, compared with the gold standard Real-time PCR method, this platform has outstanding advantages in sensitivity, specificity and typing. Combining CRISPR-Cas12a's high specificity with the bipolar electric field effect of graphene field-effect transistor, the cascade platform is expected to achieve clinical application in the field of DNA disease detection, and provides a new direction for multi-strain disease typing.
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Affiliation(s)
- Hua Wang
- Department of Life Sciences, Shandong Normal University, 1 Daxue Road, Changqing District, Jinan, Shandong Province, 250014, PR China
| | - Yang Sun
- Department of Chemistry and Biological Engineering, University of Science and Technology Beijing, 30 Xueyuan Road, Haidian District, Beijing, 100083, PR China.
| | - Yuan Zhou
- Department of Life Sciences, Shandong Normal University, 1 Daxue Road, Changqing District, Jinan, Shandong Province, 250014, PR China
| | - Yujie Liu
- Department of Life Sciences, Shandong Normal University, 1 Daxue Road, Changqing District, Jinan, Shandong Province, 250014, PR China
| | - Shuo Chen
- Department of Physics and Electronics, Shandong Normal University, 1 Daxue Road, Changqing District, Jinan, Shandong Province, 250014, PR China
| | - Wenbo Sun
- Institute of Animal Science and Veterinary Medicine, Shandong Academy of Agricultural Sciences, 202 Gongye North Road, Jinan, 250100, PR China
| | - Zidong Zhang
- Key Laboratory for Liquid-Solid Structural Evolution and Processing of Materials, Shandong University, No. 17923 Jing Shi Road, Jinan, 250061, PR China
| | - Junqing Guo
- Laboratory of Animal Immunology, Henan Academy of Agricultural Sciences, 116 Huayuan Road, Zhengzhou, 450099, PR China
| | - Cheng Yang
- Department of Physics and Electronics, Shandong Normal University, 1 Daxue Road, Changqing District, Jinan, Shandong Province, 250014, PR China.
| | - Zhengping Li
- Department of Chemistry and Biological Engineering, University of Science and Technology Beijing, 30 Xueyuan Road, Haidian District, Beijing, 100083, PR China.
| | - Lei Chen
- Department of Life Sciences, Shandong Normal University, 1 Daxue Road, Changqing District, Jinan, Shandong Province, 250014, PR China.
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16
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Uzunoglu A, Gunes Altuntas E, Huseyin Ipekci H, Ozoglu O. Two-Dimensional (2D) materials in the detection of SARS-CoV-2. Microchem J 2023; 193:108970. [PMID: 37342763 PMCID: PMC10265934 DOI: 10.1016/j.microc.2023.108970] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/20/2023] [Revised: 06/10/2023] [Accepted: 06/10/2023] [Indexed: 06/23/2023]
Abstract
The SARS-CoV-2 pandemic has resulted in a devastating effect on human health in the last three years. While tremendous effort has been devoted to the development of effective treatment and vaccines against SARS-CoV-2 and controlling the spread of it, collective health challenges have been encountered along with the concurrent serious economic impacts. Since the beginning of the pandemic, various detection methods like PCR-based methods, isothermal nucleic acid amplification-based (INAA) methods, serological methods or antibody tests, and evaluation of X-ray chest results have been exploited to diagnose SARS-CoV-2. PCR-based detection methods in these are considered gold standards in the current stage despite their drawbacks, including being high-cost and time-consuming procedures. Furthermore, the results obtained from the PCR tests are susceptible to sample collection methods and time. When the sample is not collected properly, obtaining a false result may be likely. The use of specialized lab equipment and the need for trained people for the experiments pose additional challenges in PCR-based testing methods. Also, similar problems are observed in other molecular and serological methods. Therefore, biosensor technologies are becoming advantageous with their quick response, high specificity and precision, and low-cost characteristics for SARS-CoV-2 detection. In this paper, we critically review the advances in the development of sensors for the detection of SARS-CoV-2 using two-dimensional (2D) materials. Since 2D materials including graphene and graphene-related materials, transition metal carbides, carbonitrides, and nitrides (MXenes), and transition metal dichalcogenides (TMDs) play key roles in the development of novel and high-performance electrochemical (bio)sensors, this review pushes the sensor technologies against SARS-CoV-2 detection forward and highlights the current trends. First, the basics of SARS-CoV-2 detection are described. Then the structure and the physicochemical properties of the 2D materials are explained, which is followed by the development of SARS-CoV-2 sensors by exploiting the exceptional properties of the 2D materials. This critical review covers most of the published papers in detail from the beginning of the outbreak.
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Affiliation(s)
- Aytekin Uzunoglu
- Faculty of Engineering, Metallurgical & Materials Engineering, Necmettin Erbakan University, Konya 42090, Turkey
| | - Evrim Gunes Altuntas
- Ankara University, Biotechnology Institute, Gumusdere Campus, 06135, Ankara, Turkey
| | - Hasan Huseyin Ipekci
- Faculty of Engineering, Metallurgical & Materials Engineering, Necmettin Erbakan University, Konya 42090, Turkey
| | - Ozum Ozoglu
- Department of Food Engineering, Faculty of Agriculture, Bursa Uludag University, 16059 Bursa, Turkey
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17
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Kumar N, Towers D, Myers S, Galvin C, Kireev D, Ellington AD, Akinwande D. Graphene Field Effect Biosensor for Concurrent and Specific Detection of SARS-CoV-2 and Influenza. ACS NANO 2023; 17:18629-18640. [PMID: 37703454 DOI: 10.1021/acsnano.3c07707] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 09/15/2023]
Abstract
The SARS-CoV-2 pandemic has highlighted the need for devices capable of carrying out rapid differential detection of viruses that may manifest similar physiological symptoms yet demand tailored treatment plans. Seasonal influenza may be exacerbated by COVID-19 infections, increasing the burden on healthcare systems. In this work, we demonstrate a technology based on liquid-gated graphene field-effect transistors (GFETs), for rapid and ultraprecise sensing and differentiation of influenza and SARS-CoV-2 surface protein. Most distinctively, the device consists of 4 onboard GFETs arranged in a quadruple architecture, where each quarter is functionalized individually (with either antibodies or chemically passivated control) but measured jointly. The sensor platform was tested against a range of concentrations of viral surface proteins from both viruses with the lowest tested and detected concentration at ∼50 ag/mL, or 88 zM for COVID-19 and 227 zM for Flu, which is 5-fold lower than the values reported previously on a similar platform. Unlike the classic real-time polymerase chain reaction test, which has a turnaround time of a few hours, the graphene technology presents an ultrafast response time of ∼10 s even in complex and clinically relevant media such as saliva. Thus, we have developed a multianalyte, highly sensitive, and fault-tolerant technology for rapid diagnostic of contemporary, emerging, and future pandemics.
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Affiliation(s)
- Neelotpala Kumar
- Microelectronics Research Center, The University of Texas at Austin, Austin, Texas 78758, United States
- Department of Electrical and Computer Engineering, The University of Texas at Austin, Austin, Texas 78712, United States
| | - Dalton Towers
- Department of Chemical Engineering, The University of Texas at Austin, Austin, Texas 78712, United States
| | - Samantha Myers
- College of Natural Sciences, The University of Texas at Austin, Austin, Texas 78712, United States
| | - Cooper Galvin
- College of Natural Sciences, The University of Texas at Austin, Austin, Texas 78712, United States
| | - Dmitry Kireev
- Microelectronics Research Center, The University of Texas at Austin, Austin, Texas 78758, United States
- Department of Electrical and Computer Engineering, The University of Texas at Austin, Austin, Texas 78712, United States
- Department of Biomedical Engineering, University of Massachusetts Amherst, Massachusetts 01003, United States
| | - Andrew D Ellington
- Center for Systems and Synthetic Biology, Institute for Cellular and Molecular Biology, Department of Molecular Biosciences, University of Texas at Austin, Austin, Texas 78712, United States
| | - Deji Akinwande
- Microelectronics Research Center, The University of Texas at Austin, Austin, Texas 78758, United States
- Department of Electrical and Computer Engineering, The University of Texas at Austin, Austin, Texas 78712, United States
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18
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Chen S, Bashir R. Advances in field-effect biosensors towards point-of-use. NANOTECHNOLOGY 2023; 34:492002. [PMID: 37625391 PMCID: PMC10523595 DOI: 10.1088/1361-6528/acf3f0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/18/2023] [Revised: 08/11/2023] [Accepted: 08/25/2023] [Indexed: 08/27/2023]
Abstract
The future of medical diagnostics calls for portable biosensors at the point of care, aiming to improve healthcare by reducing costs, improving access, and increasing quality-what is called the 'triple aim'. Developing point-of-care sensors that provide high sensitivity, detect multiple analytes, and provide real time measurements can expand access to medical diagnostics for all. Field-effect transistor (FET)-based biosensors have several advantages, including ultrahigh sensitivity, label-free and amplification-free detection, reduced cost and complexity, portability, and large-scale multiplexing. They can also be integrated into wearable or implantable devices and provide continuous, real-time monitoring of analytesin vivo, enabling early detection of biomarkers for disease diagnosis and management. This review analyzes advances in the sensitivity, parallelization, and reusability of FET biosensors, benchmarks the limit of detection of the state of the art, and discusses the challenges and opportunities of FET biosensors for future healthcare applications.
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Affiliation(s)
- Sihan Chen
- Holonyak Micro and Nanotechnology Laboratory, The Grainger College of Engineering, University of Illinois Urbana-Champaign, Urbana, IL 61801, United States of America
| | - Rashid Bashir
- Holonyak Micro and Nanotechnology Laboratory, The Grainger College of Engineering, University of Illinois Urbana-Champaign, Urbana, IL 61801, United States of America
- Department of Bioengineering, The Grainger College of Engineering, University of Illinois Urbana-Champaign, Urbana, IL 61801, United States of America
- Department of Biomedical and Translational Sciences, Carle Illinois College of Medicine, University of Illinois Urbana-Champaign, Urbana, IL 61801, United States of America
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19
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Chandrasekar N, Steffi AP, Ramachandran B, Hwang MT, Faramarzi V, Govarthanan M. MXenes - Versatile 2D materials for identification of biomarkers and contaminants in large scale environments - A review. ENVIRONMENTAL RESEARCH 2023; 228:115900. [PMID: 37059325 DOI: 10.1016/j.envres.2023.115900] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/01/2023] [Revised: 03/31/2023] [Accepted: 04/11/2023] [Indexed: 05/16/2023]
Abstract
Recent years have seen a lot of interest in transition metal carbides/carbonitrides (MXenes), Which is one of newly proliferating two-dimensional (2D) materials.The advantages and applications of synthesizing MXenes-based biosensing systems are interesting. There is an urgent requirement for synthesis of MXenes. Through foliation, physical adsorption, and interface modification,it has been proposed that many biological disorders are related to genetic mutation. Majority of mutations were discovered to be nucleotide mismatches. Consequently, accurate -nucleotide mismatched discrimination is crucial for both diagnosing and treating diseases. To differentiate between such a sensitivealterations in the DNA duplex, several detection methods, particularly Electrochemical-luminescence (ECL) ones, have really been investigated.Mn+1XnTx is common name for MXenes, a novel family of two-dimensional (2D) transition metal carbides, nitrides, and carbonitrides, where T stands for interface termination units (i.e. = O, OH, and/or F). These electronic characteristics of MXenes may be changed between conductive to semiconducting due to abundant organometallic chemistry.Solid-state ECL sensors predicated on MXene would provide the facile nucleotide detection and convenience for usage with minimal training, mobility and possibly minimal cost.This study emphasizes upcoming requirements and possibilities in this area while describing the accomplishments achieved in the usage and employing of MXenes in the research and development of facile biomarkerdetection and their significance in designing electrochemical sensors. Opportunities are addressed for creating 2D MXene materials sensors and devices with incorporated biomolecule sensing. MXenes Carry out this process sensors, address the advantages of using MXenes and their variants as detecting materials for gathering different types of data, and attempt to clarify the design principles and operation of related MXene-based sensors, such as nucleotide detection, Single nucleotide detectors, Cancer theranostics, Biosensing capabilities, Gliotoxin detection, SARS-COV-2 nucleocapsid detection, electrochemical sensors, visual sensors, and humidity sensors. Finally, we examine the major issues and prospects for MXene-based materials used in various sensing applications.
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Affiliation(s)
- Narendhar Chandrasekar
- Department of BioNano Technology, Gachon University, 1342 Seongnam-Daero, Sujeong-Gu, Seongnam-si, 13120, Gyeonggi-do, Republic of Korea
| | - Alexander Pinky Steffi
- Department of Nanoscience and Technology, Sri Ramakrishna Engineering College, Coimbatore, Tamil Nadu, India
| | - Balaji Ramachandran
- Department of Electronics and Communication Engineering, Koneru Lakshmaiah Education Foundation, Andhra Pradesh, 522302, India.
| | - Michael Taeyoung Hwang
- Department of BioNano Technology, Gachon University, 1342 Seongnam-Daero, Sujeong-Gu, Seongnam-si, 13120, Gyeonggi-do, Republic of Korea.
| | - Vahid Faramarzi
- Department of Electrical and Computer Engineering, Tarbiat Modares University, 14115-194, Tehran, Iran
| | - Muthusamy Govarthanan
- Department of Environmental Engineering, Kyungpook National University, Daehak-ro, Buk-gu, Daegu, 41566, South Korea; Department of Biomaterials, Saveetha Dental College and Hospital, Saveetha Institute of Medical and Technical Sciences, Chennai, 600077, Tamil Nadu, India.
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20
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Srivastava P, Prasad D. Isothermal nucleic acid amplification and its uses in modern diagnostic technologies. 3 Biotech 2023; 13:200. [PMID: 37215369 PMCID: PMC10193355 DOI: 10.1007/s13205-023-03628-6] [Citation(s) in RCA: 20] [Impact Index Per Article: 20.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/15/2023] [Accepted: 05/10/2023] [Indexed: 05/24/2023] Open
Abstract
Nucleic acids are prominent biomarkers for diagnosing infectious pathogens using nucleic acid amplification techniques (NAATs). PCR, a gold standard technique for amplifying nucleic acids, is widely used in scientific research and diagnosis. Efficient pathogen detection is a key to adequate food safety and hygiene. However, using bulky thermal cyclers and costly laboratory setup limits its uses in developing countries, including India. The isothermal amplification methods are exploited to develop miniaturized sensors against viruses, bacteria, fungi and other pathogenic organisms and have been applied for in situ diagnosis. Isothermal amplification techniques have been found suitable for POC techniques and follow WHO's ASSURED criteria. LAMP, NASBA, SDA, RCA and RPA are some of the isothermal amplification techniques which are preferable for POC diagnostics. Furthermore, methods such as WGA, CPA, HDA, EXPAR, SMART, SPIA and DAMP were introduced for even more accuracy and robustness. Using recombinant polymerases and other nucleic acid-modifying enzymes has dramatically broadened the detection range of target pathogens under the scanner. The coupling of isothermal amplification methods with advanced technologies such as CRISPR/Cas systems, fluorescence-based chemistries, microfluidics and paper-based sensors has significantly influenced the biosensing and diagnosis field. This review comprehensively analyzed isothermal nucleic acid amplification methods, emphasizing their advantages, disadvantages and limitations.
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Affiliation(s)
- Pulkit Srivastava
- Department of Bioengineering and Biotechnology, Birla Institute of Technology, Mesra, Ranchi, Jharkhand 835215 India
| | - Dinesh Prasad
- Department of Bioengineering and Biotechnology, Birla Institute of Technology, Mesra, Ranchi, Jharkhand 835215 India
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21
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Ding Y, Li C, Tian M, Wang J, Wang Z, Lin X, Liu G, Cui W, Qi X, Li S, Yue W, Xu S. Overcoming Debye length limitations: Three-dimensional wrinkled graphene field-effect transistor for ultra-sensitive adenosine triphosphate detection. FRONTIERS OF PHYSICS 2023; 18:53301. [PMID: 37251534 PMCID: PMC10205565 DOI: 10.1007/s11467-023-1281-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 12/05/2022] [Accepted: 03/11/2023] [Indexed: 05/31/2023]
Abstract
Adenosine triphosphate (ATP) is closely related to the pathogenesis of certain diseases, so the detection of trace ATP is of great significance to disease diagnosis and drug development. Graphene field-effect transistors (GFETs) have been proven to be a promising platform for the rapid and accurate detection of small molecules, while the Debye shielding limits the sensitive detection in real samples. Here, a three-dimensional wrinkled graphene field-effect transistor (3D WG-FET) biosensor for ultra-sensitive detection of ATP is demonstrated. The lowest detection limit of 3D WG-FET for analyzing ATP is down to 3.01 aM, which is much lower than the reported results. In addition, the 3D WG-FET biosensor shows a good linear electrical response to ATP concentrations in a broad range of detection from 10 aM to 10 pM. Meanwhile, we achieved ultra-sensitive (LOD: 10 aM) and quantitative (range from 10 aM to 100 fM) measurements of ATP in human serum. The 3D WG-FET also exhibits high specificity. This work may provide a novel approach to improve the sensitivity for the detection of ATP in complex biological matrix, showing a broad application value for early clinical diagnosis and food health monitoring. Electronic supplementary materials The online version contains supplementary material available at 10.1007/s11467-023-1281-7 and https://journal.hep.com.cn/fop/EN/10.1007/s11467-023-1281-7.
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Affiliation(s)
- Yue Ding
- School of Physics and Electronics, Shandong Normal University, Jinan, 250014 China
- Shandong Key Laboratory of Biophysics, Institute of Biophysics, Dezhou University, Dezhou, 253023 China
| | - Chonghui Li
- Shandong Key Laboratory of Biophysics, Institute of Biophysics, Dezhou University, Dezhou, 253023 China
- Shandong Engineering Laboratory of Swine Herd Health Big Data and Intelligent Monitoring, Dezhou University, Dezhou, 253023 China
| | - Meng Tian
- School of Physics and Electronics, Shandong Normal University, Jinan, 250014 China
- Shandong Key Laboratory of Biophysics, Institute of Biophysics, Dezhou University, Dezhou, 253023 China
| | - Jihua Wang
- Shandong Key Laboratory of Biophysics, Institute of Biophysics, Dezhou University, Dezhou, 253023 China
- Shandong Engineering Laboratory of Swine Herd Health Big Data and Intelligent Monitoring, Dezhou University, Dezhou, 253023 China
| | - Zhenxing Wang
- Shandong Key Laboratory of Biophysics, Institute of Biophysics, Dezhou University, Dezhou, 253023 China
| | - Xiaohui Lin
- Shandong Key Laboratory of Biophysics, Institute of Biophysics, Dezhou University, Dezhou, 253023 China
- Shandong Engineering Laboratory of Swine Herd Health Big Data and Intelligent Monitoring, Dezhou University, Dezhou, 253023 China
| | - Guofeng Liu
- Shandong Key Laboratory of Biophysics, Institute of Biophysics, Dezhou University, Dezhou, 253023 China
| | - Wanling Cui
- Shandong Key Laboratory of Biophysics, Institute of Biophysics, Dezhou University, Dezhou, 253023 China
- Shandong Engineering Laboratory of Swine Herd Health Big Data and Intelligent Monitoring, Dezhou University, Dezhou, 253023 China
| | - Xuefan Qi
- Shandong Key Laboratory of Biophysics, Institute of Biophysics, Dezhou University, Dezhou, 253023 China
| | - Siyu Li
- Shandong Key Laboratory of Biophysics, Institute of Biophysics, Dezhou University, Dezhou, 253023 China
| | - Weiwei Yue
- School of Physics and Electronics, Shandong Normal University, Jinan, 250014 China
| | - Shicai Xu
- Shandong Key Laboratory of Biophysics, Institute of Biophysics, Dezhou University, Dezhou, 253023 China
- Shandong Engineering Laboratory of Swine Herd Health Big Data and Intelligent Monitoring, Dezhou University, Dezhou, 253023 China
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22
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Wu X, Zhao H, Zhou E, Zou Y, Xiao S, Ma S, You R, Li P. Two-Dimensional Transition Metal Dichalcogenide Tunnel Field-Effect Transistors for Biosensing Applications. ACS APPLIED MATERIALS & INTERFACES 2023; 15:23583-23592. [PMID: 37020349 DOI: 10.1021/acsami.3c00257] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/19/2023]
Abstract
Field-effect transistor (FET) biosensors based on two-dimensional (2D) materials have drawn significant attention due to their outstanding sensitivity. However, the Boltzmann distribution of electrons imposes a physical limit on the subthreshold swing (SS), and a 2D-material biosensor with sub-60 mV/dec SS has not been realized, which hinders further increase of the sensitivity of 2D-material FET biosensors. Here, we report tunnel FETs (TFETs) based on a SnSe2/WSe2 heterostructure and observe the tunneling effect of a 2D material in aqueous solution for the first time with an ultralow SS of 29 mV/dec. A bilayer dielectric (Al2O3/HfO2) and graphene contacts, which significantly reduce the leakage current in solution and contact resistance, respectively, are crucial to the realization of the tunneling effect in solution. Then, we propose a novel biosensing method by using tunneling current as the sensing signal. The TFETs show an extremely high pH sensitivity of 895/pH due to ultralow SS, surpassing the sensitivity of FET biosensors based on a single 2D material (WSe2) by 8-fold. Specific detection of glucose is realized, and the biosensors show a superb sensitivity (3158 A/A for 5 mM), wide sensing range (from 10-9 to 10-3 M), low detection limit (10-9 M), and rapid response rate (11 s). The sensors also exhibit the ability of monitoring glucose in complex biofluid (sweat). This work provides a platform for ultrasensitive biosensing. The discovery of the tunneling effect of 2D materials in aqueous solution may stimulate further fundamental research and potential applications.
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Affiliation(s)
- Xian Wu
- State Key Laboratory of Precision Measurement Technology and Instruments, Department of Precision Instruments, Tsinghua University, Beijing 100084, China
- Key Laboratory of Smart Microsystem, Ministry of Education, Tsinghua University, Beijing 100084, China
- Beijing Advanced Innovation Center for Integrated Circuits, Beijing 100084, China
| | - Haojie Zhao
- State Key Laboratory of Precision Measurement Technology and Instruments, Department of Precision Instruments, Tsinghua University, Beijing 100084, China
- Key Laboratory of Smart Microsystem, Ministry of Education, Tsinghua University, Beijing 100084, China
- Beijing Advanced Innovation Center for Integrated Circuits, Beijing 100084, China
| | - Enze Zhou
- State Key Laboratory of Precision Measurement Technology and Instruments, Department of Precision Instruments, Tsinghua University, Beijing 100084, China
- Key Laboratory of Smart Microsystem, Ministry of Education, Tsinghua University, Beijing 100084, China
- Beijing Advanced Innovation Center for Integrated Circuits, Beijing 100084, China
| | - Yixuan Zou
- State Key Laboratory of Precision Measurement Technology and Instruments, Department of Precision Instruments, Tsinghua University, Beijing 100084, China
- Key Laboratory of Smart Microsystem, Ministry of Education, Tsinghua University, Beijing 100084, China
- Beijing Advanced Innovation Center for Integrated Circuits, Beijing 100084, China
| | - Shanpeng Xiao
- China Mobile Research Institute, Beijing 100053, China
| | - Shuai Ma
- China Mobile Research Institute, Beijing 100053, China
| | - Rui You
- Beijing Key Laboratory of Optoelectronic Measurement Technology, Beijing Information Science & Technology University, Beijing 100192, China
| | - Peng Li
- State Key Laboratory of Precision Measurement Technology and Instruments, Department of Precision Instruments, Tsinghua University, Beijing 100084, China
- Key Laboratory of Smart Microsystem, Ministry of Education, Tsinghua University, Beijing 100084, China
- Beijing Advanced Innovation Center for Integrated Circuits, Beijing 100084, China
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23
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Park KS, Choi A, Kim HJ, Park I, Eom MS, Yeo SG, Son RG, Park TI, Lee G, Soh HT, Hong Y, Pack SP. Ultra-sensitive label-free SERS biosensor with high-throughput screened DNA aptamer for universal detection of SARS-CoV-2 variants from clinical samples. Biosens Bioelectron 2023; 228:115202. [PMID: 36940632 PMCID: PMC9993738 DOI: 10.1016/j.bios.2023.115202] [Citation(s) in RCA: 7] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/05/2022] [Revised: 02/28/2023] [Accepted: 03/04/2023] [Indexed: 03/21/2023]
Abstract
COVID-19, severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), has caused an ongoing global pandemic with economic and social disruption. Moreover, the virus has persistently and rapidly evolved into novel lineages with mutations. The most effective strategy to control the pandemic is suppressing virus spread through early detection of infections. Therefore, developing a rapid, accurate, easy-to-use diagnostic platform against SARS-CoV-2 variants of concern remains necessary. Here, we developed an ultra-sensitive label-free surface-enhanced Raman scattering-based aptasensor as a countermeasure for the universal detection of SARS-CoV-2 variants of concern. In this aptasensor platform, we discovered two DNA aptamers that enable binding to SARS-CoV-2 spike protein via the Particle Display, a high-throughput screening approach. These showed high affinity that exhibited dissociation constants of 1.47 ± 0.30 nM and 1.81 ± 0.39 nM. We designed a combination with the aptamers and silver nanoforest for developing an ultra-sensitive SERS platform and achieved an attomolar (10-18 M) level detection limit with a recombinant trimeric spike protein. Furthermore, using the intrinsic properties of the aptamer signal, we demonstrated a label-free aptasensor approach, enabling use without the Raman tag. Finally, our label-free SERS-combined aptasensor succeeded in detecting SARS-CoV-2 with excellent accuracy, even in clinical samples with variants of concern, including the wild-type, delta, and omicron variants.
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Affiliation(s)
- Ki Sung Park
- Department of Biotechnology and Bioinformatics, Korea University, Sejong, 30019, Republic of Korea
| | - Anna Choi
- Department of Biotechnology and Bioinformatics, Korea University, Sejong, 30019, Republic of Korea
| | - Hyun Jung Kim
- Department of Biotechnology and Bioinformatics, Korea University, Sejong, 30019, Republic of Korea; Department of Medical Device, Korea Institute of Machinery and Materials (KIMM), Daegu, 42994, Republic of Korea
| | - Insu Park
- Department of Biotechnology and Bioinformatics, Korea University, Sejong, 30019, Republic of Korea; Department of Biomedical Engineering, Konyang University, Daejeon, 35365, Republic of Korea
| | - Mi-Suk Eom
- Division of Infectious Diseases, Sejong Institute of Health & Environment, Sejong, 30015, Republic of Korea
| | - Sang-Gu Yeo
- Division of Infectious Diseases, Sejong Institute of Health & Environment, Sejong, 30015, Republic of Korea
| | - Ryeo Gang Son
- Department of Biotechnology and Bioinformatics, Korea University, Sejong, 30019, Republic of Korea
| | - Tae-In Park
- Department of Biotechnology and Bioinformatics, Korea University, Sejong, 30019, Republic of Korea
| | - Gyudo Lee
- Department of Biotechnology and Bioinformatics, Korea University, Sejong, 30019, Republic of Korea
| | - Hyongsok Tom Soh
- Department of Electrical Engineering, Stanford University, Stanford, CA, 94305, USA; Department of Radiology, Stanford University, Stanford, CA, 94305, USA
| | - Yoochan Hong
- Department of Medical Device, Korea Institute of Machinery and Materials (KIMM), Daegu, 42994, Republic of Korea.
| | - Seung Pil Pack
- Department of Biotechnology and Bioinformatics, Korea University, Sejong, 30019, Republic of Korea.
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24
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Feng X, Li P, Xiao M, Li T, Chen B, Wang X, Wang L. Recent advances in the detection of pathogenic microorganisms and toxins based on field-effect transistor biosensors. Crit Rev Food Sci Nutr 2023; 64:9161-9190. [PMID: 37171049 DOI: 10.1080/10408398.2023.2208677] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 05/13/2023]
Abstract
In food safety analysis, the detection and control of foodborne pathogens and their toxins are of great importance. Monitoring of virus transmission is equally important, especially in light of recent findings that coronaviruses have been detected in frozen foods and packages during the current global epidemic of coronavirus disease 2019. In recent years, field-effect transistor (FET) biosensors have attracted considerable scholarly attention for pathogenic microorganisms and toxins detection and sensing due to their rapid response time, high sensitivity, wide dynamic range, high specificity, label-free detection, portability, and cost-effectiveness. FET-based biosensors can be modified with specific recognition elements, thus providing real-time qualitative and semiquantitative analysis. Furthermore, with advances in nanotechnology and device design, various high-performance nanomaterials are gradually applied in the detection of FET-based biosensors. In this article, we review specific detection in different biological recognition elements are immobilized on FET biosensors for the detection of pathogenic microorganisms and toxins, and we also discuss nonspecific detection by FET biosensors. In addition, there are still unresolved challenges in the development and application of FET biosensors for achieving efficient, multiplexed, in situ detection of pathogenic microorganisms and toxins. Therefore, directions for future FET biosensor research and applications are discussed.
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Affiliation(s)
- Xiaoxuan Feng
- College of Food Science, South China Agricultural University, Guangzhou, China
| | - Pengzhen Li
- College of Food Science, South China Agricultural University, Guangzhou, China
| | - Mengmeng Xiao
- Key Laboratory for the Physics and Chemistry of Nanodevices and Center for Carbon-based Electronics, Department of Electronics, Peking University, Beijing, China
| | - Tingxian Li
- Key Laboratory for the Physics and Chemistry of Nanodevices and Center for Carbon-based Electronics, Department of Electronics, Peking University, Beijing, China
| | - Baiyan Chen
- College of Food Science, South China Agricultural University, Guangzhou, China
| | - Xiaoying Wang
- College of Food Science, South China Agricultural University, Guangzhou, China
| | - Li Wang
- College of Food Science, South China Agricultural University, Guangzhou, China
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25
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Chen S, Sun Y, Fan X, Xu Y, Chen S, Zhang X, Man B, Yang C, Du J. Review on two-dimensional material-based field-effect transistor biosensors: accomplishments, mechanisms, and perspectives. J Nanobiotechnology 2023; 21:144. [PMID: 37122015 PMCID: PMC10148958 DOI: 10.1186/s12951-023-01898-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/08/2022] [Accepted: 04/16/2023] [Indexed: 05/02/2023] Open
Abstract
Field-effect transistor (FET) is regarded as the most promising candidate for the next-generation biosensor, benefiting from the advantages of label-free, easy operation, low cost, easy integration, and direct detection of biomarkers in liquid environments. With the burgeoning advances in nanotechnology and biotechnology, researchers are trying to improve the sensitivity of FET biosensors and broaden their application scenarios from multiple strategies. In order to enable researchers to understand and apply FET biosensors deeply, focusing on the multidisciplinary technical details, the iteration and evolution of FET biosensors are reviewed from exploring the sensing mechanism in detecting biomolecules (research direction 1), the response signal type (research direction 2), the sensing performance optimization (research direction 3), and the integration strategy (research direction 4). Aiming at each research direction, forward perspectives and dialectical evaluations are summarized to enlighten rewarding investigations.
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Affiliation(s)
- Shuo Chen
- School of Physics and Electronics, Shandong Normal University, Jinan, 250014, People's Republic of China
| | - Yang Sun
- Beijing Key Laboratory for Bioengineering and Sensing Technology, School of Chemistry and Biological Engineering, University of Science and Technology, 30 Xueyuan Road, Haidian District, Beijing, 100083, People's Republic of China
| | - Xiangyu Fan
- School of Physics and Electronics, Shandong Normal University, Jinan, 250014, People's Republic of China
| | - Yazhe Xu
- School of Physics and Electronics, Shandong Normal University, Jinan, 250014, People's Republic of China
| | - Shanshan Chen
- School of Physics and Electronics, Shandong Normal University, Jinan, 250014, People's Republic of China
| | - Xinhao Zhang
- School of Physics and Electronics, Shandong Normal University, Jinan, 250014, People's Republic of China
| | - Baoyuan Man
- School of Physics and Electronics, Shandong Normal University, Jinan, 250014, People's Republic of China
| | - Cheng Yang
- School of Physics and Electronics, Shandong Normal University, Jinan, 250014, People's Republic of China.
| | - Jun Du
- School of Physics and Electronics, Shandong Normal University, Jinan, 250014, People's Republic of China.
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26
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Tang Y, Hardy TJ, Yoon JY. Receptor-based detection of microplastics and nanoplastics: Current and future. Biosens Bioelectron 2023; 234:115361. [PMID: 37148803 DOI: 10.1016/j.bios.2023.115361] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/08/2023] [Revised: 04/27/2023] [Accepted: 04/27/2023] [Indexed: 05/08/2023]
Abstract
Plastic pollution is an emerging environmental concern, gaining significant attention worldwide. They are classified into microplastics (MP; defined from 1 μm to 5 mm) and smaller nanoplastics (NP; <1 μm). NPs may pose higher ecological risks than MPs. Various microscopic and spectroscopic techniques have been used to detect MPs, and the same methods have occasionally been used for NPs. However, they are not based on receptors, which provide high specificity in most biosensing applications. Receptor-based micro/nanoplastics (MNP) detection can provide high specificity, distinguishing MNPs from the environmental samples and, more importantly, identifying the plastic types. It can also offer a low limit of detection (LOD) required for environmental screening. Such receptors are expected to detect NPs specifically at the molecular level. This review categorizes the receptors into cells, proteins, peptides, fluorescent dyes, polymers, and micro/nanostructures. Detection techniques used with these receptors are also summarized and categorized. There is plenty of room for future research to test for broader classes of environmental samples and many plastic types, to lower the LOD, and to apply the current techniques for NPs. Portable and handheld MNP detection should also be demonstrated for field use since the current demonstrations primarily utilized laboratory instruments. Detection on microfluidic platforms will also be crucial in miniaturizing and automating the assay and, eventually, collecting an extensive database to support machine learning-based classification of MNP types.
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Affiliation(s)
- Yisha Tang
- Department of Biomedical Engineering, The University of Arizona, Tucson, AZ, 85721, United States
| | - Trinity J Hardy
- Department of Biomedical Engineering, The University of Arizona, Tucson, AZ, 85721, United States
| | - Jeong-Yeol Yoon
- Department of Biomedical Engineering, The University of Arizona, Tucson, AZ, 85721, United States.
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27
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Wang H, Liu J, Wei J, Xiao K, Chen Y, Jiang YL, Wan J. Au Nanoparticles/HfO₂/Fully Depleted Silicon-on-Insulator MOSFET Enabled Rapid Detection of Zeptomole COVID-19 Gene With Electrostatic Enrichment Process. IEEE TRANSACTIONS ON ELECTRON DEVICES 2023; 70:1236-1242. [PMID: 36972181 PMCID: PMC10009805 DOI: 10.1109/ted.2022.3233544] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 08/12/2022] [Revised: 11/17/2022] [Accepted: 12/29/2022] [Indexed: 06/18/2023]
Abstract
In this work, a novel sensing structure based on Au nanoparticles/HfO2/fully depleted silicon-on-insulator (AuNPs/HfO2/FDSOI) MOSFET is fabricated. Using such a planar double gate MOSFET, the electrostatic enrichment (ESE) process is proposed for the ultrasensitive and rapid detection of the coronavirus disease 2019 (COVID-19) ORF1ab gene. The back-gate (BG) bias can induce the required electric field that enables the ESE process in the testing liquid analyte with indirect contact with the top-Si layer. It is revealed that the ESE process can rapidly and effectively accumulate ORF1ab genes close to the HfO2 surface, which can significantly change the MOSFET threshold voltage ([Formula: see text]). The proposed MOSFET successfully demonstrates the detection of zeptomole (zM) COVID-19 ORF1ab gene with an ultralow detection limit down to 67 zM (~0.04 copy/[Formula: see text]) for a test time of less than 15 min even in a high ionic-strength solution. Besides, the quantitative dependence of [Formula: see text] variation on COVID-19 ORF1ab gene concentration from 200 zM to 100 femtomole is also revealed, which is further confirmed by TCAD simulation.
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Affiliation(s)
- Haihua Wang
- State Key Laboratory of ASIC and System, School of MicroelectronicsFudan UniversityShanghai200433China
| | - Jian Liu
- Shanghai Institute of Intelligent Electronics and Systems, School of Information Science and Technology, State Key Laboratory of ASIC and SystemFudan UniversityShanghai200433China
| | - Jiahao Wei
- Shanghai Institute of Intelligent Electronics and Systems, School of Information Science and Technology, State Key Laboratory of ASIC and SystemFudan UniversityShanghai200433China
| | - Kai Xiao
- Shanghai Institute of Intelligent Electronics and Systems, School of Information Science and Technology, State Key Laboratory of ASIC and SystemFudan UniversityShanghai200433China
| | - Yingxin Chen
- Shanghai Institute of Intelligent Electronics and Systems, School of Information Science and Technology, State Key Laboratory of ASIC and SystemFudan UniversityShanghai200433China
| | - Yu-Long Jiang
- State Key Laboratory of ASIC and System, School of MicroelectronicsFudan UniversityShanghai200433China
| | - Jing Wan
- Shanghai Institute of Intelligent Electronics and Systems, School of Information Science and Technology, State Key Laboratory of ASIC and SystemFudan UniversityShanghai200433China
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28
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Ahmadi S, Ebrahimi Warkiani M, Rabiee M, Iravani S, Rabiee N. Carbon-based nanomaterials against SARS-CoV-2: Therapeutic and diagnostic applications. OPENNANO 2023. [DOI: 10.1016/j.onano.2023.100121] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 02/20/2023]
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29
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Krishnan SK, Nataraj N, Meyyappan M, Pal U. Graphene-Based Field-Effect Transistors in Biosensing and Neural Interfacing Applications: Recent Advances and Prospects. Anal Chem 2023; 95:2590-2622. [PMID: 36693046 PMCID: PMC11386440 DOI: 10.1021/acs.analchem.2c03399] [Citation(s) in RCA: 14] [Impact Index Per Article: 14.0] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/25/2023]
Affiliation(s)
- Siva Kumar Krishnan
- CONACYT-Instituto de Física, Benemérita Universidad Autónoma de Puebla, Apdo. Postal J-48, Puebla72570, Mexico
| | - Nandini Nataraj
- Department of Chemical Engineering and Biotechnology, National Taipei University of Technology, No.1, Section 3, Chung-Hsiao East Road, Taipei106, Taiwan
| | - M Meyyappan
- Centre for Nanotechnology, Indian Institute of Technology, Guwahati781039, Assam, India
| | - Umapada Pal
- Instituto de Física, Benemérita Universidad Autónoma de Puebla, Apdo. Postal J-48, Puebla72570, Mexico
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30
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Silvestri A, Zayas-Arrabal J, Vera-Hidalgo M, Di Silvio D, Wetzl C, Martinez-Moro M, Zurutuza A, Torres E, Centeno A, Maestre A, Gómez JM, Arrastua M, Elicegui M, Ontoso N, Prato M, Coluzza I, Criado A. Ultrasensitive detection of SARS-CoV-2 spike protein by graphene field-effect transistors. NANOSCALE 2023; 15:1076-1085. [PMID: 36546457 DOI: 10.1039/d2nr05103f] [Citation(s) in RCA: 6] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/17/2023]
Abstract
COVID-19, caused by the severe acute respiratory syndrome-coronavirus 2 (SARS-CoV-2), originated a global health crisis, causing over 2 million casualties and altering human daily life all over the world. This pandemic emergency revealed the limitations of current diagnostic tests, highlighting the urgency to develop faster, more precise and sensitive sensors. Graphene field effect transistors (GFET) are analytical platforms that enclose all these requirements. However, the design of a sensitive and robust GFET is not a straightforward objective. In this work, we report a GFET array biosensor for the detection of SARS-CoV-2 spike protein using the human membrane protein involved in the virus internalisation: angiotensin-converting enzyme 2 (ACE2). By finely controlling the graphene functionalisation, by tuning the Debye length, and by deeply characterising the ACE2-spike protein interactions, we have been able to detect the target protein with an extremely low limit of detection (2.94 aM). This work set the basis for a new class of analytical platforms, based on human membrane proteins, with the potential to detect a broad variety of pathogens, even before their isolation, being a powerful tool in the fight against future pandemics.
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Affiliation(s)
- Alessandro Silvestri
- Center for Cooperative Research in Biomaterials (CIC biomaGUNE), Basque Research and Technology Alliance (BRTA), Paseo de Miramon 194, 20014 Donostia-San Sebastián, Spain.
| | - Julian Zayas-Arrabal
- Center for Cooperative Research in Biomaterials (CIC biomaGUNE), Basque Research and Technology Alliance (BRTA), Paseo de Miramon 194, 20014 Donostia-San Sebastián, Spain.
| | - Mariano Vera-Hidalgo
- Center for Cooperative Research in Biomaterials (CIC biomaGUNE), Basque Research and Technology Alliance (BRTA), Paseo de Miramon 194, 20014 Donostia-San Sebastián, Spain.
| | - Desire Di Silvio
- Center for Cooperative Research in Biomaterials (CIC biomaGUNE), Basque Research and Technology Alliance (BRTA), Paseo de Miramon 194, 20014 Donostia-San Sebastián, Spain.
| | - Cecilia Wetzl
- Center for Cooperative Research in Biomaterials (CIC biomaGUNE), Basque Research and Technology Alliance (BRTA), Paseo de Miramon 194, 20014 Donostia-San Sebastián, Spain.
- University of the Basque Country UPV-EHU, 20018 Donostia-San Sebastián, Spain
| | - Marta Martinez-Moro
- Center for Cooperative Research in Biomaterials (CIC biomaGUNE), Basque Research and Technology Alliance (BRTA), Paseo de Miramon 194, 20014 Donostia-San Sebastián, Spain.
| | - Amaia Zurutuza
- Graphenea Semiconductor SLU., Paseo Mikeletegi 83, 20009 San Sebastián, Spain
| | - Elias Torres
- Graphenea Semiconductor SLU., Paseo Mikeletegi 83, 20009 San Sebastián, Spain
| | - Alba Centeno
- Graphenea Semiconductor SLU., Paseo Mikeletegi 83, 20009 San Sebastián, Spain
| | - Arantxa Maestre
- Graphenea Semiconductor SLU., Paseo Mikeletegi 83, 20009 San Sebastián, Spain
| | - Juan Manuel Gómez
- Graphenea Semiconductor SLU., Paseo Mikeletegi 83, 20009 San Sebastián, Spain
| | - María Arrastua
- Graphenea Semiconductor SLU., Paseo Mikeletegi 83, 20009 San Sebastián, Spain
| | - Marta Elicegui
- Graphenea Semiconductor SLU., Paseo Mikeletegi 83, 20009 San Sebastián, Spain
| | - Nerea Ontoso
- Graphenea Semiconductor SLU., Paseo Mikeletegi 83, 20009 San Sebastián, Spain
| | - Maurizio Prato
- Center for Cooperative Research in Biomaterials (CIC biomaGUNE), Basque Research and Technology Alliance (BRTA), Paseo de Miramon 194, 20014 Donostia-San Sebastián, Spain.
- Department of Chemical and Pharmaceutical Sciences, University of Trieste, Via L. Giorgieri 1, 3412 7 Trieste, Italy
- Ikerbasque, Basque Foundation for Science, 48013 Bilbao, Spain
| | - Ivan Coluzza
- BCMaterials, Basque Center for Materials, Applications and Nanostructures, Bld. Martina Casiano, UPV/EHU Science Park, Barrio Sarriena s/n, 48940 Leioa, Spain.
- Ikerbasque, Basque Foundation for Science, 48013 Bilbao, Spain
| | - Alejandro Criado
- Center for Cooperative Research in Biomaterials (CIC biomaGUNE), Basque Research and Technology Alliance (BRTA), Paseo de Miramon 194, 20014 Donostia-San Sebastián, Spain.
- Universidade da Coruña, CICA - Centro Interdisciplinar de Química e Bioloxía, Rúa as Carballeiras, 15071 A Coruña, Spain.
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31
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Li M, Ge H, Sun Z, Fu J, Cao L, Feng X, Meng G, Peng Y, Liu Y, Zhao C. A loop-mediated isothermal amplification-enabled analytical assay for the detection of SARS-CoV-2: A review. Front Cell Infect Microbiol 2022; 12:1068015. [PMID: 36619749 PMCID: PMC9816412 DOI: 10.3389/fcimb.2022.1068015] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/12/2022] [Accepted: 11/29/2022] [Indexed: 12/24/2022] Open
Abstract
The number of words: 4645, the number of figures: 4, the number of tables: 1The outbreak of COVID-19 in December 2019 caused a global pandemic of acute respiratory disease, and with the increasing virulence of mutant strains and the number of confirmed cases, this has resulted in a tremendous threat to global public health. Therefore, an accurate diagnosis of COVID-19 is urgently needed for rapid control of SARS-CoV-2 transmission. As a new molecular biology technology, loop-mediated isothermal amplification (LAMP) has the advantages of convenient operation, speed, low cost and high sensitivity and specificity. In the past two years, rampant COVID-19 and the continuous variation in the virus strains have demanded higher requirements for the rapid detection of pathogens. Compared with conventional RT-PCR and real-time RT-PCR methods, genotyping RT-LAMP method and LAMP plus peptide nucleic acid (PNA) probe detection methods have been developed to correctly identified SARS-CoV-2 variants, which is also why LAMP technology has attracted much attention. LAMP detection technology combined with lateral flow assay, microfluidic technology and other sensing technologies can effectively enhance signals by nucleic acid amplification and help to give the resulting output in a faster, more convenient and user-friendly way. At present, LAMP plays an important role in the detection of SARS-CoV-2.
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Affiliation(s)
- Mingna Li
- College of public health, Jilin Medical University, Jilin, China,College of medical technology, Beihua University, Jilin, China
| | - Hongjuan Ge
- College of public health, Jilin Medical University, Jilin, China
| | - Zhe Sun
- College of public health, Jilin Medical University, Jilin, China,College of medical technology, Beihua University, Jilin, China
| | - Jangshan Fu
- College of public health, Jilin Medical University, Jilin, China
| | - Lele Cao
- College of public health, Jilin Medical University, Jilin, China
| | - Xinrui Feng
- College of public health, Jilin Medical University, Jilin, China,Medical college, Yanbian University, Jilin, China
| | - Guixian Meng
- College of medical laboratory, Jilin Medical University, Jilin, China
| | - Yubo Peng
- Business School, The University of Adelaide, Adelaide, SA, Australia
| | - Yan Liu
- College of public health, Jilin Medical University, Jilin, China,*Correspondence: Yan Liu, ; Chen Zhao,
| | - Chen Zhao
- College of public health, Jilin Medical University, Jilin, China,*Correspondence: Yan Liu, ; Chen Zhao,
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32
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Wang S, Sun M, Zhang Y, Ji H, Gao J, Song S, Sun J, Liu H, Zhang Y, Han L. Ultrasensitive Antibiotic Perceiving Based on Aptamer-Functionalized Ultraclean Graphene Field-Effect Transistor Biosensor. Anal Chem 2022; 94:14785-14793. [PMID: 36223308 DOI: 10.1021/acs.analchem.2c03732] [Citation(s) in RCA: 11] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/28/2022]
Abstract
Antibiotics are powerful tools to treat bacterial infections, but antibiotic pollution is becoming a severe threat to the effective treatment of human bacterial infections. The detection of antibiotics in water has been a crucial research area for bioassays in recent years. There is still an urgent need for a simple ultrasensitive detection approach to achieve accurate antibiotic detection at low concentrations. Herein, a field-effect transistor (FET)-based biosensor was developed using ultraclean graphene and an aptamer for ultrasensitive tetracycline detection. Using a newly designed camphor-rosin clean transfer (CRCT) scheme to prepare ultraclean graphene, the carrier mobility of the FET is found to be improved by more than 10 times compared with the FET prepared by the conventional PMMA transfer (CPT) method. Based on the FET, aptamer-functionalized transistor antibiotic biosensors were constructed and characterized. A dynamic detection range of 5 orders of magnitude, a sensitivity of 21.7 mV/decade, and a low detection limit of 100 fM are achieved for the CRCT-FET biosensors with good stability, which are much improved compared with the biosensor prepared by the CPT method. The antibiotic sensing and sensing performance enhancement mechanisms for the CRCT-FET biosensor were studied and analyzed based on experimental results and a biosensing model. Finally, the CRCT-FET biosensor was verified by detecting antibiotics in actual samples obtained from the entrances of Bohai Bay.
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Affiliation(s)
- Shun Wang
- Institute of Marine Science and Technology, Shandong University, Qingdao266237, Shandong, China
| | - Mingyuan Sun
- Institute of Marine Science and Technology, Shandong University, Qingdao266237, Shandong, China
| | - Yunhong Zhang
- Institute of Marine Science and Technology, Shandong University, Qingdao266237, Shandong, China
| | - Hao Ji
- Institute of Marine Science and Technology, Shandong University, Qingdao266237, Shandong, China
| | - Jianwei Gao
- Institute of Marine Science and Technology, Shandong University, Qingdao266237, Shandong, China
| | - Shuai Song
- Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, University of Chinese Academy of Sciences, Beijing100049, China
| | - Jun Sun
- College of Marine Science and Technology, China University of Geosciences (Wuhan), Wuhan430074, China
| | - Hong Liu
- State Key Laboratory of Crystal Materials, Shandong University, Jinan250100, Shandong, China
| | - Yu Zhang
- Institute of Marine Science and Technology, Shandong University, Qingdao266237, Shandong, China.,Shenzhen Research Institute of Shandong University, Shenzhen518057, China.,State Key Laboratory of Microbial Technolgoy, Shandong University, Qingdao266237, China
| | - Lin Han
- Institute of Marine Science and Technology, Shandong University, Qingdao266237, Shandong, China.,Shenzhen Research Institute of Shandong University, Shenzhen518057, China.,State Key Laboratory of Microbial Technolgoy, Shandong University, Qingdao266237, China
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33
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Di DS, Zhang JL, Wei MH, Zhou HL, Cui Y, Zhang RY, Tong YQ, Liu JA, Wang Q. An evaluation index system for regional mobile SARS-CoV-2 virus nucleic acid testing capacity in China: a modified Delphi consensus study. BMC Health Serv Res 2022; 22:1080. [PMID: 36002820 PMCID: PMC9399982 DOI: 10.1186/s12913-022-08446-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/05/2022] [Accepted: 08/08/2022] [Indexed: 11/19/2022] Open
Abstract
Background Large-scale detection has great potential to bring benefits for containing the COVID-19 epidemic and supporting the government in reopening economic activities. Evaluating the true regional mobile severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) virus nucleic acid testing capacity is essential to improve the overall fighting performance against this epidemic and maintain economic development. However, such a tool is not available in this issue. We aimed to establish an evaluation index system for assessing the regional mobile SARS-CoV-2 virus nucleic acid testing capacity and provide suggestions for improving the capacity level. Methods The initial version of the evaluation index system was identified based on massive literature and expert interviews. The Delphi method questionnaire was designed and 30 experts were consulted in two rounds of questionnaire to select and revise indexes at all three levels. The Analytic Hierarchy Process method was used to calculate the weight of indexes at all three levels. Results The evaluation index system for assessing the regional mobile SARS-CoV-2 virus nucleic acid testing capacity, including 5 first-level indexes, 17 second-level indexes, and 90 third-level indexes. The response rates of questionnaires delivered in the two rounds of consultation were 100 and 96.7%. Furthermore, the authority coefficient of 30 experts was 0.71. Kendall’s coordination coefficient differences were statistically significant (P < 0.001). The weighted values of capacity indexes were established at all levels according to the consistency test, demonstrating that ‘Personnel team construction’ (0.2046) came first amongst the five first-level indexes, followed by ‘Laboratory performance building and maintenance’ (0.2023), ‘Emergency response guarantee’ (0.1989), ‘Information management system for nucleic acid testing resources’ (0.1982) and ‘Regional mobile nucleic acid testing emergency response system construction’ (0.1959). Conclusion The evaluation system for assessing the regional mobile SARS-CoV-2 virus nucleic acid testing capacity puts forward a specific, objective, and quantifiable evaluation criterion. The evaluation system can act as a tool for diversified subjects to find the weak links and loopholes. It also provides a measurable basis for authorities to improve nucleic acid testing capabilities.
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Affiliation(s)
- Dong-Sheng Di
- MOE Key Lab of Environment and Health, Department of Epidemiology and Biostatistics, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430030, China
| | - Jian-Li Zhang
- MOE Key Lab of Environment and Health, Department of Epidemiology and Biostatistics, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430030, China
| | - Mu-Hong Wei
- MOE Key Lab of Environment and Health, Department of Epidemiology and Biostatistics, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430030, China
| | - Hao-Long Zhou
- MOE Key Lab of Environment and Health, Department of Epidemiology and Biostatistics, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430030, China
| | - Yuan Cui
- MOE Key Lab of Environment and Health, Department of Epidemiology and Biostatistics, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430030, China
| | - Ru-Yi Zhang
- MOE Key Lab of Environment and Health, Department of Epidemiology and Biostatistics, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430030, China
| | - Ye-Qing Tong
- Hubei Provincial Center for Disease Control and Prevention, Wuhan, 430079, Hubei, China
| | - Jun-An Liu
- Department of Social Medicine and Health Management, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430030, China.
| | - Qi Wang
- MOE Key Lab of Environment and Health, Department of Epidemiology and Biostatistics, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430030, China.
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Xu L, Ramadan S, Rosa BG, Zhang Y, Yin T, Torres E, Shaforost O, Panagiotopoulos A, Li B, Kerherve G, Kim DK, Mattevi C, Jiao LR, Petrov PK, Klein N. On-chip integrated graphene aptasensor with portable readout for fast and label-free COVID-19 detection in virus transport medium. SENSORS & DIAGNOSTICS 2022; 1:719-730. [PMID: 35923775 PMCID: PMC9280445 DOI: 10.1039/d2sd00076h] [Citation(s) in RCA: 16] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 04/28/2022] [Accepted: 06/10/2022] [Indexed: 01/12/2023]
Abstract
Graphene field-effect transistor (GFET) biosensors exhibit high sensitivity due to a large surface-to-volume ratio and the high sensitivity of the Fermi level to the presence of charged biomolecules near the surface. For most reported GFET biosensors, bulky external reference electrodes are used which prevent their full-scale chip integration and contribute to higher costs per test. In this study, GFET arrays with on-chip integrated liquid electrodes were employed for COVID-19 detection and functionalized with either antibody or aptamer to selectively bind the spike proteins of SARS-CoV-2. In the case of the aptamer-functionalized GFET (aptasensor, Apt-GFET), the limit-of-detection (LOD) achieved was about 103 particles per mL for virus-like particles (VLPs) in clinical transport medium, outperforming the Ab-GFET biosensor counterpart. In addition, the aptasensor achieved a LOD of 160 aM for COVID-19 neutralizing antibodies in serum. The sensors were found to be highly selective, fast (sample-to-result within minutes), and stable (low device-to-device signal variation; relative standard deviations below 0.5%). A home-built portable readout electronic unit was employed for simultaneous real-time measurements of 12 GFETs per chip. Our successful demonstration of a portable GFET biosensing platform has high potential for infectious disease detection and other health-care applications.
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Affiliation(s)
- Lizhou Xu
- Department of Materials, Imperial College LondonLondonSW7 2AZUK,ZJU-Hangzhou Global Scientific and Technological Innovation Center, Zhejiang UniversityHangzhou311200China
| | - Sami Ramadan
- Department of Materials, Imperial College LondonLondonSW7 2AZUK
| | | | - Yuanzhou Zhang
- Department of Materials, Imperial College LondonLondonSW7 2AZUK
| | - Tianyi Yin
- Department of Materials, Imperial College LondonLondonSW7 2AZUK
| | - Elias Torres
- Graphenea SemiconductorPaseo Mikeletegi 83San Sebastián20009Spain
| | - Olena Shaforost
- Department of Materials, Imperial College LondonLondonSW7 2AZUK
| | | | - Bing Li
- Department of Brain Sciences, Imperial College LondonLondonW12 0BZUK,Care Research & Technology Centre, UK Dementia Research InstituteW12 0BZUK,Institute for Materials Discovery, University College LondonRoberts BuildingLondonWC1E 7JEUK
| | | | - Dong Kuk Kim
- Department of Materials, Imperial College LondonLondonSW7 2AZUK
| | - Cecilia Mattevi
- Department of Materials, Imperial College LondonLondonSW7 2AZUK
| | - Long R. Jiao
- Department of Hepatobiliary Surgery, Division of Surgery & Cancer, Imperial College LondonHammersmith Hospital Campus, Du Cane RoadLondonW12 0NNUK
| | - Peter K. Petrov
- Department of Materials, Imperial College LondonLondonSW7 2AZUK
| | - Norbert Klein
- Department of Materials, Imperial College LondonLondonSW7 2AZUK
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35
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Ban DK, Bodily T, Karkisaval AG, Dong Y, Natani S, Ramanathan A, Ramil A, Srivastava S, Bandaru P, Glinsky G, Lal R. Rapid self-test of unprocessed viruses of SARS-CoV-2 and its variants in saliva by portable wireless graphene biosensor. Proc Natl Acad Sci U S A 2022; 119:e2206521119. [PMID: 35763566 PMCID: PMC9282385 DOI: 10.1073/pnas.2206521119] [Citation(s) in RCA: 26] [Impact Index Per Article: 13.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/13/2022] [Accepted: 05/26/2022] [Indexed: 12/20/2022] Open
Abstract
We have developed a DNA aptamer-conjugated graphene field-effect transistor (GFET) biosensor platform to detect receptor-binding domain (RBD), nucleocapsid (N), and spike (S) proteins, as well as viral particles of original Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) coronavirus and its variants in saliva samples. The GFET biosensor is a label-free, rapid (≤20 min), ultrasensitive handheld wireless readout device. The limit of detection (LoD) and the limit of quantitation (LoQ) of the sensor are 1.28 and 3.89 plaque-forming units (PFU)/mL for S protein and 1.45 and 4.39 PFU/mL for N protein, respectively. Cognate spike proteins of major variants of concern (N501Y, D614G, Y453F, Omicron-B1.1.529) showed sensor response ≥40 mV from the control (aptamer alone) for fM to nM concentration range. The sensor response was significantly lower for viral particles and cognate proteins of Middle East Respiratory Syndrome (MERS) compared to SARS-CoV-2, indicating the specificity of the diagnostic platform for SARS-CoV-2 vs. MERS viral proteins. During the early phase of the pandemic, the GFET sensor response agreed with RT-PCR data for oral human samples, as determined by the negative percent agreement (NPA) and positive percent agreement (PPA). During the recent Delta/Omicron wave, the GFET sensor also reliably distinguished positive and negative clinical saliva samples. Although the sensitivity is lower during the later pandemic phase, the GFET-defined positivity rate is in statistically close alignment with the epidemiological population-scale data. Thus, the aptamer-based GFET biosensor has a high level of precision in clinically and epidemiologically significant SARS-CoV-2 variant detection. This universal pathogen-sensing platform is amenable for a broad range of public health applications and real-time environmental monitoring.
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Affiliation(s)
- Deependra Kumar Ban
- Department of Mechanical and Aerospace Engineering, University of California, San Diego, CA 92093
| | - Tyler Bodily
- Department of Bioengineering, University of California, San Diego, CA 92093
| | - Abhijith G. Karkisaval
- Department of Mechanical and Aerospace Engineering, University of California, San Diego, CA 92093
| | - Yongliang Dong
- Department of Mechanical and Aerospace Engineering, University of California, San Diego, CA 92093
| | - Shreyam Natani
- Department of Mechanical and Aerospace Engineering, University of California, San Diego, CA 92093
| | - Anirudh Ramanathan
- Department of Bioengineering, University of California, San Diego, CA 92093
| | - Armando Ramil
- Department of Bioengineering, University of California, San Diego, CA 92093
| | | | - Prab Bandaru
- Department of Mechanical and Aerospace Engineering, University of California, San Diego, CA 92093
- Materials Science, University of California, San Diego, CA 92093
| | - Gennadi Glinsky
- Institute of Engineering in Medicine, University of California, San Diego, CA 92093
| | - Ratnesh Lal
- Department of Mechanical and Aerospace Engineering, University of California, San Diego, CA 92093
- Department of Bioengineering, University of California, San Diego, CA 92093
- Materials Science, University of California, San Diego, CA 92093
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36
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Abstract
In this study, we propose that the curvature of graphene can be exploited to perform directional molecular motion and provide atomistic insights into the curvature-dependent molecular migration through density functional theory calculations. We first reveal the origin of the different migration trends observed experimentally for aromatic molecules with electron-donating and -withdrawing groups on p-doped functionalized graphene. Next, we show that the kinetic barrier for migration depends on the amount and nature of the curvature, that is, positive versus negative curvature. We find that the molecular migration on a wrinkled/rippled graphene sheet preferentially happens from the valley (positive curvature) to the mountain (negative curvature) regions. To understand the origin of such curvature-dependent molecular motion and migrational kinetic barrier trends, we develop a descriptor based on the frontier orbital orientation of graphene. Finally, based on these findings, we predict that time- and space-varying curvature can drive directional molecular motion on graphene and thus further propose that efforts should focus on exploring other two-dimensional materials as active platforms for performing controlled molecular motion.
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Affiliation(s)
- Sayan Banerjee
- Department of Chemistry, University of Pennsylvania, Philadelphia, Pennsylvania 19104-6323, United States
| | - Andrew M Rappe
- Department of Chemistry, University of Pennsylvania, Philadelphia, Pennsylvania 19104-6323, United States
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