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Sun S, Zhao Y, Hao Y, Xue P, Guo X, Zhang W, Zhang C, Zhang Q, Zhou W, Ong HC, Yu X, Li Z, Li J, Yao J. Rapid, sensitive and multiplexed detection of SARS-CoV-2 viral nucleic acids enabled by phase-based surface plasmon resonance of metallic gratings. BIOMEDICAL OPTICS EXPRESS 2024; 15:5215-5226. [PMID: 39296394 PMCID: PMC11407254 DOI: 10.1364/boe.535051] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 07/10/2024] [Revised: 08/05/2024] [Accepted: 08/06/2024] [Indexed: 09/21/2024]
Abstract
A rapid, sensitive and easy-to-implement approach is proposed for the detection of pathogenic nucleic acids based on phase-based plasmonic spectroscopy of metallic gratings. The plasmonic sensors were fabricated using interference lithography and functionalized with single-stranded DNA probes to specific target SARS-CoV-2. The biosensor achieved the detection of 40 fM viral nucleic acids within 5 min; furthermore, a detection capability of 1 aM (0.6 copies/µL) was acquired when combining with the recombinase polymerase amplification. Additionally, the multiplexed sensing system was demonstrated to simultaneously detect three genomic sequences on a single sensor chip, thereby enhancing diagnostic accuracy and enabling high-throughput detection.
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Affiliation(s)
- Shuai Sun
- Center for Intense Laser Application Technology, College of Engineering Physics, Shenzhen Technology University, Shenzhen 518118, China
| | - Yuanyuan Zhao
- Center for Intense Laser Application Technology, College of Engineering Physics, Shenzhen Technology University, Shenzhen 518118, China
| | - Yuxuan Hao
- Interface Materials Center, Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen 518055, China
| | - Pan Xue
- Interface Materials Center, Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen 518055, China
| | - Xiaoyang Guo
- Center for Intense Laser Application Technology, College of Engineering Physics, Shenzhen Technology University, Shenzhen 518118, China
| | - Wei Zhang
- Center for Intense Laser Application Technology, College of Engineering Physics, Shenzhen Technology University, Shenzhen 518118, China
| | - Chunxiang Zhang
- Center for Intense Laser Application Technology, College of Engineering Physics, Shenzhen Technology University, Shenzhen 518118, China
| | - Qiongdi Zhang
- Interface Materials Center, Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen 518055, China
| | - Wenhua Zhou
- Interface Materials Center, Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen 518055, China
| | - Hock Chun Ong
- Department of Physics, The Chinese University of Hong Kong, Shatin, Hong Kong SAR, China
| | - Xuefeng Yu
- Interface Materials Center, Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen 518055, China
| | - Zeren Li
- Center for Intense Laser Application Technology, College of Engineering Physics, Shenzhen Technology University, Shenzhen 518118, China
| | - Jia Li
- Center for Intense Laser Application Technology, College of Engineering Physics, Shenzhen Technology University, Shenzhen 518118, China
| | - Jianquan Yao
- Key Laboratory of Opto-Electronics Information Technology (Tianjin University), Ministry of Education, School of Precision Instruments and Opto-Electronics Engineering, Tianjin University, Tianjin 300072, China
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2
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Tene T, Svozilík J, Colcha D, Cevallos Y, Vinueza-Naranjo PG, Vacacela Gomez C, Bellucci S. The Tunable Parameters of Graphene-Based Biosensors. SENSORS (BASEL, SWITZERLAND) 2024; 24:5049. [PMID: 39124094 PMCID: PMC11314989 DOI: 10.3390/s24155049] [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: 07/01/2024] [Revised: 07/27/2024] [Accepted: 08/01/2024] [Indexed: 08/12/2024]
Abstract
Graphene-based surface plasmon resonance (SPR) biosensors have emerged as a promising technology for the highly sensitive and accurate detection of biomolecules. This study presents a comprehensive theoretical analysis of graphene-based SPR biosensors, focusing on configurations with single and bimetallic metallic layers. In this study, we investigated the impact of various metallic substrates, including gold and silver, and the number of graphene layers on key performance metrics: sensitivity of detection, detection accuracy, and quality factor. Our findings reveal that configurations with graphene first supported on gold exhibit superior performance, with sensitivity of detection enhancements up to 30% for ten graphene layers. In contrast, silver-supported configurations, while demonstrating high sensitivity, face challenges in maintaining detection accuracy. Additionally, reducing the thickness of metallic layers by 30% optimizes light coupling and enhances sensor performance. These insights highlight the significant potential of graphene-based SPR biosensors in achieving high sensitivity of detection and reliability, paving the way for their application in diverse biosensing technologies. Our findings pretend to motivate future research focusing on optimizing metallic layer thickness, improving the stability of silver-supported configurations, and experimentally validating the theoretical findings to further advance the development of high-performance SPR biosensors.
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Affiliation(s)
- Talia Tene
- Department of Chemistry, Universidad Técnica Particular de Loja, Loja 110160, Ecuador
| | - Jiří Svozilík
- Facultad de Ciencias, Escuela Superior Politécnica de Chimborazo (ESPOCH), Riobamba 060155, Ecuador
| | - Dennys Colcha
- UNICARIBE Research Center, University of Calabria, 87036 Rende, Italy
| | - Yesenia Cevallos
- College of Engineering, Universidad Nacional de Chimborazo, Riobamba 060108, Ecuador
- Universidad San Francisco de Quito IMNE, Diego de Robles s/n, Cumbayá, Quito 170901, Ecuador
| | | | | | - Stefano Bellucci
- INFN-Laboratori Nazionali di Frascati, Via E. Fermi 54, 00044 Frascati, Italy
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Upadhyay S, Kumar A, Srivastava M, Srivastava A, Dwivedi A, Singh RK, Srivastava SK. Recent advancements of smartphone-based sensing technology for diagnosis, food safety analysis, and environmental monitoring. Talanta 2024; 275:126080. [PMID: 38615454 DOI: 10.1016/j.talanta.2024.126080] [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: 01/29/2024] [Revised: 04/04/2024] [Accepted: 04/07/2024] [Indexed: 04/16/2024]
Abstract
The emergence of computationally powerful smartphones, relatively affordable high-resolution camera, drones, and robotic sensors have ushered in a new age of advanced sensible monitoring tools. The present review article investigates the burgeoning smartphone-based sensing paradigms, including surface plasmon resonance (SPR) biosensors, electrochemical biosensors, colorimetric biosensors, and other innovations for modern healthcare. Despite the significant advancements, there are still scarcity of commercially available smart biosensors and hence need to accelerate the rates of technology transfer, application, and user acceptability. The application/necessity of smartphone-based biosensors for Point of Care (POC) testing, such as prognosis, self-diagnosis, monitoring, and treatment selection, have brought remarkable innovations which eventually eliminate sample transportation, sample processing time, and result in rapid findings. Additionally, it articulates recent advances in various smartphone-based multiplexed bio sensors as affordable and portable sensing platforms for point-of-care devices, together with statistics for point-of-care health monitoring and their prospective commercial viability.
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Affiliation(s)
- Satyam Upadhyay
- Department of Physics, Institute of Science, Banaras Hindu University, Varanasi, 221005, India
| | - Anil Kumar
- Department of Physics, Institute of Science, Banaras Hindu University, Varanasi, 221005, India
| | - Monika Srivastava
- School of Materials Science and Technology, Indian Institute of Technology (Banaras Hindu University), Varanasi, India
| | - Amit Srivastava
- Department of Physics TDPG College, VBS Purvanchal University, Jaunpur, 222001, India
| | - Arpita Dwivedi
- Department of Physics, Institute of Science, Banaras Hindu University, Varanasi, 221005, India
| | - Rajesh Kumar Singh
- School of Physical and Material Sciences, Central University of Himachal Pradesh, Dharamshala, Kangra, 176215, India
| | - S K Srivastava
- Department of Physics, Institute of Science, Banaras Hindu University, Varanasi, 221005, India.
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4
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Nisar S, Dastgeer G, Shazad ZM, Zulfiqar MW, Rasheed A, Iqbal MZ, Hussain K, Rabani I, Kim D, Irfan A, Chaudhry AR. 2D Materials in Advanced Electronic Biosensors for Point-of-Care Devices. ADVANCED SCIENCE (WEINHEIM, BADEN-WURTTEMBERG, GERMANY) 2024; 11:e2401386. [PMID: 38894575 PMCID: PMC11336981 DOI: 10.1002/advs.202401386] [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: 02/06/2024] [Revised: 05/18/2024] [Indexed: 06/21/2024]
Abstract
Since two-dimensionalal (2D) materials have distinct chemical and physical properties, they are widely used in various sectors of modern technologies. In the domain of diagnostic biodevices, particularly for point-of-care (PoC) biomedical diagnostics, 2D-based field-effect transistor biosensors (bio-FETs) demonstrate substantial potential. Here, in this review article, the operational mechanisms and detection capabilities of biosensing devices utilizing graphene, transition metal dichalcogenides (TMDCs), black phosphorus, and other 2D materials are addressed in detail. The incorporation of these materials into FET-based biosensors offers significant advantages, including low detection limits (LOD), real-time monitoring, label-free diagnosis, and exceptional selectivity. The review also highlights the diverse applications of these biosensors, ranging from conventional to wearable devices, underscoring the versatility of 2D material-based FET devices. Additionally, the review provides a comprehensive assessment of the limitations and challenges faced by these devices, along with insights into future prospects and advancements. Notably, a detailed comparison of FET-based biosensors is tabulated along with various other biosensing platforms and their working mechanisms. Ultimately, this review aims to stimulate further research and innovation in this field while educating the scientific community about the latest advancements in 2D materials-based biosensors.
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Affiliation(s)
- Sobia Nisar
- Department of Electrical EngineeringSejong UniversitySeoul05006Republic of Korea
- Department of Convergence Engineering for Intelligent DroneSejong UniversitySeoul05006Republic of Korea
| | - Ghulam Dastgeer
- Department of Physics & AstronomySejong UniversitySeoul05006Republic of Korea
| | - Zafar Muhammad Shazad
- SKKU Advanced Institute of Nanotechnology (SAINT)Sungkyunkwan UniversitySuwon16419Republic of Korea
- Department of Chemical Polymer and Composite EngineeringUniversity of Engineering & TechnologyFaisalabad CampusLahore38000Pakistan
| | - Muhammad Wajid Zulfiqar
- Department of Electrical EngineeringSejong UniversitySeoul05006Republic of Korea
- Department of Semiconductor EngineeringSejong UniversitySeoul05006Republic of Korea
| | - Amir Rasheed
- School of Materials Science and EngineeringAnhui UniversityHefeiAnhui230601China
| | - Muhammad Zahir Iqbal
- Renewable Energy Research LaboratoryFaculty of Engineering SciencesGhulam Ishaq Khan Institute of Engineering Sciences and TechnologyTopiKhyber Pakhtunkhwa23640Pakistan
| | - Kashif Hussain
- THz Technical Research Center; Shenzhen Key Laboratory of Micro‐Nano Photonic Information Technology; Key Laboratory of Optoelectronic Devices and Systems, College of Physics and Optoelectronic EngineeringShenzhen UniversityShenzhenGuangdong Province518060China
- School of Materials Science and EngineeringCAPTPeking UniversityBeijing100871China
| | - Iqra Rabani
- Department of Nanotechnology and Advanced Materials EngineeringSejong UniversitySeoul05006Republic of Korea
| | - Deok‐kee Kim
- Department of Electrical EngineeringSejong UniversitySeoul05006Republic of Korea
- Department of Convergence Engineering for Intelligent DroneSejong UniversitySeoul05006Republic of Korea
- Department of Semiconductor EngineeringSejong UniversitySeoul05006Republic of Korea
| | - Ahmad Irfan
- Department of ChemistryCollege of ScienceKing Khalid UniversityP. O. Box 9004Abha61413Saudi Arabia
| | - Aijaz Rasool Chaudhry
- Department of PhysicsCollege of ScienceUniversity of BishaP.O. Box 551Bisha61922Saudi Arabia
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Yadav PK, Kumar A, Upadhyay S, Kumar A, Srivastava A, Srivastava M, Srivastava SK. 2D material-based surface plasmon resonance biosensors for applications in different domains: an insight. Mikrochim Acta 2024; 191:373. [PMID: 38842697 DOI: 10.1007/s00604-024-06442-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: 03/22/2024] [Accepted: 05/16/2024] [Indexed: 06/07/2024]
Abstract
The design of surface plasmon resonance (SPR) sensors has been greatly enhanced in recent years by the advancements in the production and integration of nanostructures, leading to more compact and efficient devices. There have been reports of novel SPR sensors having distinct nanostructures, either as signal amplification tags like gold nanoparticles (AuNPs) or as sensing substrate-like two-dimensional (2D) materials including graphene, transition metal dichalcogenides (TMDCs), MXene, black phosphorus (BP), metal-organic frameworks (MOFs), and antimonene. Such 2D-based SPR biosensors offer advantages over conventional sensors due to significant increases in their sensitivity with a good figure of merit and limit of detection (LOD). Due to their atomically thin structure, improved sensitivity, and sophisticated functionalization capabilities, 2D materials can open up new possibilities in the field of healthcare, particularly in point-of-care diagnostics, environmental and food monitoring, homeland security protection, clinical diagnosis and treatment, and flexible or transient bioelectronics. The present study articulates an in-depth analysis of the most recent developments in 2D material-based SPR sensor technology. Moreover, in-depth research of 2D materials, their integration with optoelectronic technology for a new sensing platform, and the predicted and experimental outcomes of various excitation approaches are highlighted, along with the principles of SPR biosensors. Furthermore, the review projects the potential prospects and future trends of these emerging materials-based SPR biosensors to advance in clinical diagnosis, healthcare biochemical, and biological applications.
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Affiliation(s)
- Prateek Kumar Yadav
- Department of Physics, Institute of Science, Banaras Hindu University, Varanasi, 221005, India
| | - Awadhesh Kumar
- Department of Physics, Institute of Science, Banaras Hindu University, Varanasi, 221005, India
| | - Satyam Upadhyay
- Department of Physics, Institute of Science, Banaras Hindu University, Varanasi, 221005, India
| | - Anil Kumar
- Department of Physics, Institute of Science, Banaras Hindu University, Varanasi, 221005, India
| | - Amit Srivastava
- Department of Physics TDPG College, VBS Purvanchal University, Jaunpur, 222001, India
| | - Monika Srivastava
- School of Materials Science and Technology, Indian Institute of Technology (Banaras Hindu University), Varanasi, India
| | - S K Srivastava
- Department of Physics, Institute of Science, Banaras Hindu University, Varanasi, 221005, India.
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6
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Wang R, Lu S, Deng F, Wu L, Yang G, Chong S, Liu Y. Enhancing the understanding of SARS-CoV-2 protein with structure and detection methods: An integrative review. Int J Biol Macromol 2024; 270:132237. [PMID: 38734351 DOI: 10.1016/j.ijbiomac.2024.132237] [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: 04/15/2024] [Accepted: 05/07/2024] [Indexed: 05/13/2024]
Abstract
As the rapid and accurate screening of infectious diseases can provide meaningful information for outbreak prevention and control, as well as owing to the existing limitations of the polymerase chain reaction (PCR), it is imperative to have new and validated detection techniques for SARS-CoV-2. Therefore, the rationale for outlining the techniques used to detect SARS-CoV-2 proteins and performing a comprehensive comparison to serve as a practical benchmark for future identification of similar viral proteins is clear. This review highlights the urgent need to strengthen pandemic preparedness by emphasizing the importance of integrated measures. These include improved tools for pathogen characterization, optimized societal precautions, the establishment of early warning systems, and the deployment of highly sensitive diagnostics for effective surveillance, triage, and resource management. Additionally, with an improved understanding of the virus' protein structure, considerable advances in targeted detection, treatment, and prevention strategies are expected to greatly improve our ability to respond to future outbreaks.
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Affiliation(s)
- Ruiqi Wang
- Shenyang University of Chemical Technology, Shenyang 110142, China; National Institute of Metrology, Beijing 100029, China
| | - Song Lu
- National Institute of Metrology, Beijing 100029, China
| | - Fanyu Deng
- National Institute of Metrology, Beijing 100029, China; North University of China, Taiyuan 030051, China
| | - Liqing Wu
- National Institute of Metrology, Beijing 100029, China
| | - Guowu Yang
- Shenzhen Academy of Metrology and Quality Inspection, Shenzhen 518055, China
| | - Siying Chong
- Shenyang University of Chemical Technology, Shenyang 110142, China
| | - Yahui Liu
- National Institute of Metrology, Beijing 100029, China.
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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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Jiang S, Qian S, Zhu S, Lu J, Hu Y, Zhang C, Geng Y, Chen X, Guo Y, Chen Z, Pu J, Guo Z, Liu S. A Point-of-Care Testing Device Utilizing Graphene-Enhanced Fiber Optic SPR Sensor for Real-Time Detection of Infectious Pathogens. BIOSENSORS 2023; 13:1029. [PMID: 38131789 PMCID: PMC10741924 DOI: 10.3390/bios13121029] [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: 11/16/2023] [Revised: 12/04/2023] [Accepted: 12/08/2023] [Indexed: 12/23/2023]
Abstract
Timely detection of highly infectious pathogens is essential for preventing and controlling public health risks. However, most traditional testing instruments require multiple tedious steps and ultimately testing in hospitals and third-party laboratories. The sample transfer process significantly prolongs the time to obtain test results. To tackle this aspect, a portable fiber optic surface plasmon resonance (FO-SPR) device was developed for the real-time detection of infectious pathogens. The portable device innovatively integrated a compact FO-SPR sensing component, a signal acquisition and processing system, and an embedded power supply unit. A gold-plated fiber is used as the FO-SPR sensing probe. Compared with traditional SPR sensing systems, the device is smaller size, lighter weight, and higher convenience. To enhance the detection capacity of pathogens, a monolayer graphene was coated on the sensing region of the FO-SPR sensing probe. Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) was used to evaluate the performance of the portable device. The device can accurately detect the SARS-CoV-2 spike S1 protein in phosphate-buffered saline (PBS) and artificial saliva within just 20 min, and the device successfully detected cultured SARS-CoV-2 virus. Furthermore, the FO-SPR probe has long-term stability, remaining stable for up to 8 days. It could distinguish between the SARS-CoV-2 spike protein and the MERS-CoV spike protein. Hence, this FO-SPR device provides reliable, rapid, and portable access to test results. It provides a promising point-of-care testing (POCT) tool for on-site screening of infectious pathogens.
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Affiliation(s)
- Shiyu Jiang
- Heilongjiang Provincial Key Laboratory of Metamaterials Physics and Device, Heilongjiang University, Harbin 150080, China; (S.J.); (S.Z.); (J.L.); (Y.H.); (Y.G.); (X.C.); (Y.G.)
- School of Electronic Engineering, Heilongjiang University, Harbin 150080, China
| | - Siyu Qian
- Heilongjiang Provincial Key Laboratory of Metamaterials Physics and Device, Heilongjiang University, Harbin 150080, China; (S.J.); (S.Z.); (J.L.); (Y.H.); (Y.G.); (X.C.); (Y.G.)
| | - Shunning Zhu
- Heilongjiang Provincial Key Laboratory of Metamaterials Physics and Device, Heilongjiang University, Harbin 150080, China; (S.J.); (S.Z.); (J.L.); (Y.H.); (Y.G.); (X.C.); (Y.G.)
| | - Jinxin Lu
- Heilongjiang Provincial Key Laboratory of Metamaterials Physics and Device, Heilongjiang University, Harbin 150080, China; (S.J.); (S.Z.); (J.L.); (Y.H.); (Y.G.); (X.C.); (Y.G.)
| | - Yunxin Hu
- Heilongjiang Provincial Key Laboratory of Metamaterials Physics and Device, Heilongjiang University, Harbin 150080, China; (S.J.); (S.Z.); (J.L.); (Y.H.); (Y.G.); (X.C.); (Y.G.)
- School of Electronic Engineering, Heilongjiang University, Harbin 150080, China
| | - Cheng Zhang
- Changchun Veterinary Research Institute, Chinese Academy of Agricultural Sciences, Changchun 130122, China; (C.Z.); (Z.C.); (J.P.); (Z.G.)
| | - Yikai Geng
- Heilongjiang Provincial Key Laboratory of Metamaterials Physics and Device, Heilongjiang University, Harbin 150080, China; (S.J.); (S.Z.); (J.L.); (Y.H.); (Y.G.); (X.C.); (Y.G.)
| | - Xuefeng Chen
- Heilongjiang Provincial Key Laboratory of Metamaterials Physics and Device, Heilongjiang University, Harbin 150080, China; (S.J.); (S.Z.); (J.L.); (Y.H.); (Y.G.); (X.C.); (Y.G.)
| | - Ying Guo
- Heilongjiang Provincial Key Laboratory of Metamaterials Physics and Device, Heilongjiang University, Harbin 150080, China; (S.J.); (S.Z.); (J.L.); (Y.H.); (Y.G.); (X.C.); (Y.G.)
| | - Zhaoliang Chen
- Changchun Veterinary Research Institute, Chinese Academy of Agricultural Sciences, Changchun 130122, China; (C.Z.); (Z.C.); (J.P.); (Z.G.)
| | - Jie Pu
- Changchun Veterinary Research Institute, Chinese Academy of Agricultural Sciences, Changchun 130122, China; (C.Z.); (Z.C.); (J.P.); (Z.G.)
| | - Zhendong Guo
- Changchun Veterinary Research Institute, Chinese Academy of Agricultural Sciences, Changchun 130122, China; (C.Z.); (Z.C.); (J.P.); (Z.G.)
| | - Shengchun Liu
- Heilongjiang Provincial Key Laboratory of Metamaterials Physics and Device, Heilongjiang University, Harbin 150080, China; (S.J.); (S.Z.); (J.L.); (Y.H.); (Y.G.); (X.C.); (Y.G.)
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9
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Lee S, Bi L, Chen H, Lin D, Mei R, Wu Y, Chen L, Joo SW, Choo J. Recent advances in point-of-care testing of COVID-19. Chem Soc Rev 2023; 52:8500-8530. [PMID: 37999922 DOI: 10.1039/d3cs00709j] [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: 11/25/2023]
Abstract
Advances in microfluidic device miniaturization and system integration contribute to the development of portable, handheld, and smartphone-compatible devices. These advancements in diagnostics have the potential to revolutionize the approach to detect and respond to future pandemics. Accordingly, herein, recent advances in point-of-care testing (POCT) of coronavirus disease 2019 (COVID-19) using various microdevices, including lateral flow assay strips, vertical flow assay strips, microfluidic channels, and paper-based microfluidic devices, are reviewed. However, visual determination of the diagnostic results using only microdevices leads to many false-negative results due to the limited detection sensitivities of these devices. Several POCT systems comprising microdevices integrated with portable optical readers have been developed to address this issue. Since the outbreak of COVID-19, effective POCT strategies for COVID-19 based on optical detection methods have been established. They can be categorized into fluorescence, surface-enhanced Raman scattering, surface plasmon resonance spectroscopy, and wearable sensing. We introduced next-generation pandemic sensing methods incorporating artificial intelligence that can be used to meet global health needs in the future. Additionally, we have discussed appropriate responses of various testing devices to emerging infectious diseases and prospective preventive measures for the post-pandemic era. We believe that this review will be helpful for preparing for future infectious disease outbreaks.
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Affiliation(s)
- Sungwoon Lee
- Department of Chemistry, Chung-Ang University, Seoul 06974, South Korea.
| | - Liyan Bi
- School of Special Education and Rehabilitation, Binzhou Medical University, Yantai, 264003, China
| | - Hao Chen
- School of Environmental and Material Engineering, Yantai University, Yantai 264005, China
| | - Dong Lin
- School of Pharmacy, Bianzhou Medical University, Yantai, 264003, China
| | - Rongchao Mei
- CAS Key Laboratory of Coastal Environmental Processes and Ecological Remediation, Yantai Institute of Coastal Zone Research, Yantai 264003, China
| | - Yixuan Wu
- CAS Key Laboratory of Coastal Environmental Processes and Ecological Remediation, Yantai Institute of Coastal Zone Research, Yantai 264003, China
| | - Lingxin Chen
- CAS Key Laboratory of Coastal Environmental Processes and Ecological Remediation, Yantai Institute of Coastal Zone Research, Yantai 264003, China
- School of Pharmacy, Bianzhou Medical University, Yantai, 264003, China
| | - Sang-Woo Joo
- Department of Information Communication, Materials, and Chemistry Convergence Technology, Soongsil University, Seoul 06978, South Korea
| | - Jaebum Choo
- Department of Chemistry, Chung-Ang University, Seoul 06974, South Korea.
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10
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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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11
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Srivastava S, Singh S, Mishra AC, Lohia P, Dwivedi DK. Numerical Study of Titanium Dioxide and MXene Nanomaterial-Based Surface Plasmon Resonance Biosensor for Virus SARS-CoV-2 Detection. PLASMONICS (NORWELL, MASS.) 2023; 18:1-12. [PMID: 37360047 PMCID: PMC10171911 DOI: 10.1007/s11468-023-01874-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 03/30/2023] [Accepted: 04/28/2023] [Indexed: 06/28/2023]
Abstract
A novel surface plasmon resonance-based biosensor for SARS-CoV-2 virus is proposed in this article. The biosensor is a Kretschmann configuration-based structure that consists of CaF2 prism as base, at which silver (Ag), TiO2, and MXene nanolayers are used to enhance the performance. Theoretically, the performance parameters have been investigated by means of Fresnel equations and transfer matrix method (TMM). The TiO2 nanolayer not only prevents oxidation of Ag layer but also enhances the evanescent field in its vicinity. The sensor provides an ultrahigh angular sensitivity of 346°/RIU for the detection of SARS-CoV-2 virus. Some other performance parameters, including FWHM (full width at half maxima), detection accuracy (DA), limit of detection (LOD), and quality factor (QF) have also been calculated for proposed SPR biosensor with their optimized values 2.907°, 0.3439 deg-1, 1.445 × 10-5, and 118.99 RIU-1, respectively. The obtained results designate that the proposed surface plasmon resonance (SPR) based biosensor has notably enhanced angular sensitivity as compared to previous results reported in the literatures till date. This work may facilitate a significant biological sample sensing device for fast and accurate diagnosis at early stage of SARS-CoV-2 virus.
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Affiliation(s)
- Swati Srivastava
- Photonics and Photovoltaic Research Lab, Department of Physics and Material Science, Madan Mohan Malaviya University of Technology, Gorakhpur, 273010 India
| | - Sachin Singh
- Photonics and Photovoltaic Research Lab, Department of Physics and Material Science, Madan Mohan Malaviya University of Technology, Gorakhpur, 273010 India
| | - Adarsh Chandra Mishra
- Photonics and Photovoltaic Research Lab, Department of Physics and Material Science, Madan Mohan Malaviya University of Technology, Gorakhpur, 273010 India
| | - Pooja Lohia
- Department of Electronics and Communication Engineering, Madan Mohan Malaviya University of Technology, Gorakhpur, 273010 India
| | - D. K. Dwivedi
- Photonics and Photovoltaic Research Lab, Department of Physics and Material Science, Madan Mohan Malaviya University of Technology, Gorakhpur, 273010 India
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12
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Xu M, Li Y, Lin C, Peng Y, Zhao S, Yang X, Yang Y. Recent Advances of Representative Optical Biosensors for Rapid and Sensitive Diagnostics of SARS-CoV-2. BIOSENSORS 2022; 12:862. [PMID: 36291001 PMCID: PMC9599922 DOI: 10.3390/bios12100862] [Citation(s) in RCA: 11] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/15/2022] [Revised: 10/01/2022] [Accepted: 10/01/2022] [Indexed: 05/04/2023]
Abstract
The outbreak of Corona Virus Disease 2019 (COVID-19) has again emphasized the significance of developing rapid and highly sensitive testing tools for quickly identifying infected patients. Although the current reverse transcription polymerase chain reaction (RT-PCR) diagnostic techniques can satisfy the required sensitivity and specificity, the inherent disadvantages with time-consuming, sophisticated equipment and professional operators limit its application scopes. Compared with traditional detection techniques, optical biosensors based on nanomaterials/nanostructures have received much interest in the detection of SARS-CoV-2 due to the high sensitivity, high accuracy, and fast response. In this review, the research progress on optical biosensors in SARS-CoV-2 diagnosis, including fluorescence biosensors, colorimetric biosensors, Surface Enhancement Raman Scattering (SERS) biosensors, and Surface Plasmon Resonance (SPR) biosensors, was comprehensively summarized. Further, promising strategies to improve optical biosensors are also explained. Optical biosensors can not only realize the rapid detection of SARS-CoV-2 but also be applied to judge the infectiousness of the virus and guide the choice of SARS-CoV-2 vaccines, showing enormous potential to become point-of-care detection tools for the timely control of the pandemic.
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Affiliation(s)
- Meimei Xu
- State Key Laboratory of High-Performance Ceramics and Superfine Microstructures, Shanghai Institute of Ceramics, Chinese Academy of Sciences, 1295 Dingxi Road, Shanghai 200050, China
- Graduate School of the Chinese Academy of Sciences, No.19(A) Yuquan Road, Beijing 100049, China
- Center of Materials Science and Optoelectronics Engineering, University of Chinese Academy of Sciences, Beijing 100049, China
| | - Yanyan Li
- State Key Laboratory of High-Performance Ceramics and Superfine Microstructures, Shanghai Institute of Ceramics, Chinese Academy of Sciences, 1295 Dingxi Road, Shanghai 200050, China
- Graduate School of the Chinese Academy of Sciences, No.19(A) Yuquan Road, Beijing 100049, China
- Center of Materials Science and Optoelectronics Engineering, University of Chinese Academy of Sciences, Beijing 100049, China
| | - Chenglong Lin
- State Key Laboratory of High-Performance Ceramics and Superfine Microstructures, Shanghai Institute of Ceramics, Chinese Academy of Sciences, 1295 Dingxi Road, Shanghai 200050, China
- Graduate School of the Chinese Academy of Sciences, No.19(A) Yuquan Road, Beijing 100049, China
- Center of Materials Science and Optoelectronics Engineering, University of Chinese Academy of Sciences, Beijing 100049, China
| | - Yusi Peng
- State Key Laboratory of High-Performance Ceramics and Superfine Microstructures, Shanghai Institute of Ceramics, Chinese Academy of Sciences, 1295 Dingxi Road, Shanghai 200050, China
- Center of Materials Science and Optoelectronics Engineering, University of Chinese Academy of Sciences, Beijing 100049, China
| | - Shuai Zhao
- State Key Laboratory of High-Performance Ceramics and Superfine Microstructures, Shanghai Institute of Ceramics, Chinese Academy of Sciences, 1295 Dingxi Road, Shanghai 200050, China
- Graduate School of the Chinese Academy of Sciences, No.19(A) Yuquan Road, Beijing 100049, China
- Center of Materials Science and Optoelectronics Engineering, University of Chinese Academy of Sciences, Beijing 100049, China
| | - Xiao Yang
- State Key Laboratory of High-Performance Ceramics and Superfine Microstructures, Shanghai Institute of Ceramics, Chinese Academy of Sciences, 1295 Dingxi Road, Shanghai 200050, China
- Center of Materials Science and Optoelectronics Engineering, University of Chinese Academy of Sciences, Beijing 100049, China
| | - Yong Yang
- State Key Laboratory of High-Performance Ceramics and Superfine Microstructures, Shanghai Institute of Ceramics, Chinese Academy of Sciences, 1295 Dingxi Road, Shanghai 200050, China
- Center of Materials Science and Optoelectronics Engineering, University of Chinese Academy of Sciences, Beijing 100049, China
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13
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Pohanka M. Progress in Biosensors for the Point-of-Care Diagnosis of COVID-19. SENSORS (BASEL, SWITZERLAND) 2022; 22:s22197423. [PMID: 36236521 PMCID: PMC9571584 DOI: 10.3390/s22197423] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/06/2022] [Revised: 09/22/2022] [Accepted: 09/26/2022] [Indexed: 05/31/2023]
Abstract
Coronavirus disease 2019 (COVID-19) is a highly virulent infection that has caused a pandemic since 2019. Early diagnosis of the disease has been recognized as one of the important approaches to minimize the pathological impact and spread of infection. Point-of-care tests proved to be substantial analytical tools, and especially lateral flow immunoassays (lateral flow tests) serve the purpose. In the last few years, biosensors have gained popularity. These are simple but highly sensitive and accurate analytical devices composed from a selective molecule such as an antibody or antigen and a sensor platform. Biosensors would be an advanced alternative to current point-of-care tests for COVID-19 diagnosis and standard laboratory methods as well. Recent discoveries related to point-of-care diagnostic tests for COVID-19, the development of biosensors for specific antibodies and specific virus parts or their genetic information are reviewed.
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Affiliation(s)
- Miroslav Pohanka
- Faculty of Military Health Sciences, University of Defense, Trebesska 1575, CZ-50001 Hradec Kralove, Czech Republic
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14
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Arano-Martinez JA, Martínez-González CL, Salazar MI, Torres-Torres C. A Framework for Biosensors Assisted by Multiphoton Effects and Machine Learning. BIOSENSORS 2022; 12:710. [PMID: 36140093 PMCID: PMC9496380 DOI: 10.3390/bios12090710] [Citation(s) in RCA: 24] [Impact Index Per Article: 12.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 07/31/2022] [Revised: 08/22/2022] [Accepted: 08/25/2022] [Indexed: 11/25/2022]
Abstract
The ability to interpret information through automatic sensors is one of the most important pillars of modern technology. In particular, the potential of biosensors has been used to evaluate biological information of living organisms, and to detect danger or predict urgent situations in a battlefield, as in the invasion of SARS-CoV-2 in this era. This work is devoted to describing a panoramic overview of optical biosensors that can be improved by the assistance of nonlinear optics and machine learning methods. Optical biosensors have demonstrated their effectiveness in detecting a diverse range of viruses. Specifically, the SARS-CoV-2 virus has generated disturbance all over the world, and biosensors have emerged as a key for providing an analysis based on physical and chemical phenomena. In this perspective, we highlight how multiphoton interactions can be responsible for an enhancement in sensibility exhibited by biosensors. The nonlinear optical effects open up a series of options to expand the applications of optical biosensors. Nonlinearities together with computer tools are suitable for the identification of complex low-dimensional agents. Machine learning methods can approximate functions to reveal patterns in the detection of dynamic objects in the human body and determine viruses, harmful entities, or strange kinetics in cells.
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Affiliation(s)
- Jose Alberto Arano-Martinez
- Sección de Estudios de Posgrado e Investigación, Escuela Superior de Ingeniería Mecánica y Eléctrica, Unidad Zacatenco, Instituto Politécnico Nacional, Mexico City 07738, Mexico
| | - Claudia Lizbeth Martínez-González
- Sección de Estudios de Posgrado e Investigación, Escuela Superior de Ingeniería Mecánica y Eléctrica, Unidad Zacatenco, Instituto Politécnico Nacional, Mexico City 07738, Mexico
| | - Ma Isabel Salazar
- Departamento de Microbiología, Escuela Nacional de Ciencias Biológicas, Instituto Politécnico Nacional, Mexico City 11340, Mexico
| | - Carlos Torres-Torres
- Sección de Estudios de Posgrado e Investigación, Escuela Superior de Ingeniería Mecánica y Eléctrica, Unidad Zacatenco, Instituto Politécnico Nacional, Mexico City 07738, Mexico
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15
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Pandey PS, Raghuwanshi SK, Shadab A, Ansari MTI, Tiwari UK, Kumar S. SPR Based Biosensing Chip for COVID-19 Diagnosis-A Review. IEEE SENSORS JOURNAL 2022; 22:13800-13810. [PMID: 36346093 DOI: 10.1109/jsen.2021.3133007] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/12/2022] [Revised: 06/06/2022] [Accepted: 06/06/2022] [Indexed: 05/24/2023]
Abstract
Surface Plasmon Resonance (SPR) techniques are highly accurate in detecting biomolecular like blood group measurement, food adulteration, milk adulteration and recently developing as a rapid detection for severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) virus. In order to validate the clinical diagnosis, Real-time reverse transcriptase-polymerase chain reaction (RT-PCR) of nasopharyngeal swabs has been utilized, which is time consuming and expensive. For fast and accurate detection of the SARS-CoV-2 virus, SPR based biosensing chips are described in this review article. SPR sensors have the potential to be employed for fast, accurate, and portable SARS-CoV-2 virus diagnosis. To combat the SARS-CoV-2 pandemic, there is considerable interest in creating innovative biosensors that are quick, reliable, and sensitive for COVID-19 diagnosis.
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Affiliation(s)
- Purnendu Shekhar Pandey
- Optical Fiber Sensor LaboratoryDepartment of Electronics EngineeringIndian Institute of Technology (Indian School of Mines) Dhanbad Dhanbad Jharkhand 826004 India
| | - Sanjeev Kumar Raghuwanshi
- Department of Electronics EngineeringIndian Institute of Technology (Indian School of Mines) Dhanbad Dhanbad Jharkhand 826004 India
| | - Azhar Shadab
- Optical Fiber Sensor LaboratoryDepartment of Electronics EngineeringIndian Institute of Technology (Indian School of Mines) Dhanbad Dhanbad Jharkhand 826004 India
| | - Md Tauseef Iqbal Ansari
- Optical Fiber Sensor LaboratoryDepartment of Electronics EngineeringIndian Institute of Technology (Indian School of Mines) Dhanbad Dhanbad Jharkhand 826004 India
| | - Umesh Kumar Tiwari
- Advanced Materials and Sensors DivisionCentral Scientific Instruments Organisation (CSIO) Chandigarh 160030 India
| | - Santosh Kumar
- Shandong Key Laboratory of Optical Communication Science and Technology, School of Physics Science and Information TechnologyLiaocheng University Liaocheng 252059 China
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16
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Pandey PS, Raghuwanshi SK, Shadab A, Ansari MTI, Tiwari UK, Kumar S. SPR Based Biosensing Chip for COVID-19 Diagnosis-A Review. IEEE SENSORS JOURNAL 2022; 22:13800-13810. [PMID: 36346093 PMCID: PMC9423036 DOI: 10.1109/jsen.2022.3181423] [Citation(s) in RCA: 24] [Impact Index Per Article: 12.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/12/2022] [Revised: 06/06/2022] [Accepted: 06/06/2022] [Indexed: 05/13/2023]
Abstract
Surface Plasmon Resonance (SPR) techniques are highly accurate in detecting biomolecular like blood group measurement, food adulteration, milk adulteration and recently developing as a rapid detection for severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) virus. In order to validate the clinical diagnosis, Real-time reverse transcriptase-polymerase chain reaction (RT-PCR) of nasopharyngeal swabs has been utilized, which is time consuming and expensive. For fast and accurate detection of the SARS-CoV-2 virus, SPR based biosensing chips are described in this review article. SPR sensors have the potential to be employed for fast, accurate, and portable SARS-CoV-2 virus diagnosis. To combat the SARS-CoV-2 pandemic, there is considerable interest in creating innovative biosensors that are quick, reliable, and sensitive for COVID-19 diagnosis.
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Affiliation(s)
- Purnendu Shekhar Pandey
- Optical Fiber Sensor LaboratoryDepartment of Electronics EngineeringIndian Institute of Technology (Indian School of Mines) Dhanbad Dhanbad Jharkhand 826004 India
| | - Sanjeev Kumar Raghuwanshi
- Department of Electronics EngineeringIndian Institute of Technology (Indian School of Mines) Dhanbad Dhanbad Jharkhand 826004 India
| | - Azhar Shadab
- Optical Fiber Sensor LaboratoryDepartment of Electronics EngineeringIndian Institute of Technology (Indian School of Mines) Dhanbad Dhanbad Jharkhand 826004 India
| | - Md Tauseef Iqbal Ansari
- Optical Fiber Sensor LaboratoryDepartment of Electronics EngineeringIndian Institute of Technology (Indian School of Mines) Dhanbad Dhanbad Jharkhand 826004 India
| | - Umesh Kumar Tiwari
- Advanced Materials and Sensors DivisionCentral Scientific Instruments Organisation (CSIO) Chandigarh 160030 India
| | - Santosh Kumar
- Shandong Key Laboratory of Optical Communication Science and Technology, School of Physics Science and Information TechnologyLiaocheng University Liaocheng 252059 China
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