1
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Jiang B, Yang Y, Zhao R, Chen D, Wang Y, Liu J, Long F, Chen R, Hao R. A multifunctional evanescent wave biosensor for the universal assay of SARS-CoV-2 variants and affinity analysis of coronavirus spike protein-hACE2 interactions. Biosens Bioelectron 2024; 260:116426. [PMID: 38815461 DOI: 10.1016/j.bios.2024.116426] [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: 03/26/2024] [Revised: 05/12/2024] [Accepted: 05/23/2024] [Indexed: 06/01/2024]
Abstract
The conventional detection model of passive adaptation to pathogen mutations, i.e., developing assays using corresponding antibodies or nucleic acid probes, is difficult to address frequent outbreaks of emerging infectious diseases. In particular, adaptive mutations observed in coronaviruses, which increase the affinity of the spike protein with the human cellular receptor hACE2, play pivotal roles in the transmission and immune evasion of coronaviruses. Herein, we developed a multifunctional optical fiber evanescent wave biosensor for the universal assay of coronavirus and affinity analysis of the spike protein interacting with hACE2, namely, My-SPACE. By competitively binding with Cy5.5-hACE2 between coronavirus spike proteins in mobile buffer and that modified on optical fibers from the SARS-CoV-2 wild type, My-SPACE could automatically detect SARS-CoV-2 and its variants within 10 min. My-SPACE demonstrated greater sensitivity and faster results than ELISA for SARS-CoV-2 variants, achieving 100% specificity and 94.10% sensitivity in detecting the Omicron variant in 18 clinical samples. Moreover, the interaction between hACE2 and the coronavirus spike protein was accurately characterized across SARS-CoV-2 mutants, SARS-CoV and hCoV-NL63. The accuracy of the affinity determined by My-SPACE was verified by SPR. This approach enables preliminary assessment of the transmissibility and hazards of emerging coronaviruses. The sensor fibers of My-SPACE can be reused more than 40 times, and the device is compact and easy to use; moreover, it is available as a rapid and cost-effective on-site detection tool adapted to coronavirus variability and as an effective assessment platform for early warning of coronavirus transmission risk.
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Affiliation(s)
- Bo Jiang
- Department of Toxicology and Sanitary Chemistry, School of Public Health, Capital Medical University, Beijing, China; Beijing Key Laboratory of Environmental Toxicology, Capital Medical University, Beijing, China
| | - Yi Yang
- Chinese PLA Center for Disease Control and Prevention, Beijing, China
| | - Rongtao Zhao
- Chinese PLA Center for Disease Control and Prevention, Beijing, China
| | - Dan Chen
- School of Environment and Natural Resources, Renmin University of China, Beijing, China
| | - Yule Wang
- Chinese PLA Center for Disease Control and Prevention, Beijing, China
| | - Junwen Liu
- Department of Toxicology and Sanitary Chemistry, School of Public Health, Capital Medical University, Beijing, China; Beijing Key Laboratory of Environmental Toxicology, Capital Medical University, Beijing, China
| | - Feng Long
- School of Environment and Natural Resources, Renmin University of China, Beijing, China.
| | - Rui Chen
- Department of Toxicology and Sanitary Chemistry, School of Public Health, Capital Medical University, Beijing, China; Beijing Key Laboratory of Environmental Toxicology, Capital Medical University, Beijing, China.
| | - Rongzhang Hao
- Department of Toxicology and Sanitary Chemistry, School of Public Health, Capital Medical University, Beijing, China; Beijing Key Laboratory of Environmental Toxicology, Capital Medical University, Beijing, China.
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2
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Peng JM, Liu H, Ying ZM. Rapid one-pot isothermal amplification reassembled of fluorescent RNA aptamer for SARS-CoV-2 detection. Talanta 2024; 276:126264. [PMID: 38761661 DOI: 10.1016/j.talanta.2024.126264] [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: 01/17/2024] [Revised: 04/22/2024] [Accepted: 05/14/2024] [Indexed: 05/20/2024]
Abstract
The outbreak of SARS-CoV-2 poses a serious threat to human life and health. A rapid nucleic acid tests can effectively curb the spread of the disease. With the advantages of fluorescent RNA aptamers, low background and high sensitivity. A variety of fluorescent RNA aptamer sensors have been developed for the detection of nucleic acid. Here, we report a hypersensitive detection platform in which SARS-CoV-2 initiates RTF-EXPAR to amplify trigger fragments. This activation leads to the reassembled of the SRB2 fluorescent RNA aptamer, restoring its secondary structure for SR-DN binding and turn-on fluorescence. The platform completes the assay in 30 min and all reactions occur in one tube. The detection limit is as low as 116 aM. Significantly, the platform's quantitative analyses were almost identical to qPCR results in simulated tests of positive samples. In conclusion, the platform is sensitive, accurate and provides a new protocol for point-of-care testing of viruses.
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Affiliation(s)
- Jia-Min Peng
- Key Laboratory for Green Organic Synthesis and Application of Hunan Province, Key Laboratory of Environmentally Friendly Chemistry and Application of Ministry of Education, College of Chemistry, Xiangtan University, Xiangtan, 411105, China
| | - Hao Liu
- Key Laboratory for Green Organic Synthesis and Application of Hunan Province, Key Laboratory of Environmentally Friendly Chemistry and Application of Ministry of Education, College of Chemistry, Xiangtan University, Xiangtan, 411105, China
| | - Zhan-Ming Ying
- Key Laboratory for Green Organic Synthesis and Application of Hunan Province, Key Laboratory of Environmentally Friendly Chemistry and Application of Ministry of Education, College of Chemistry, Xiangtan University, Xiangtan, 411105, China.
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3
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Jin Z, Yim W, Retout M, Housel E, Zhong W, Zhou J, Strano MS, Jokerst JV. Colorimetric sensing for translational applications: from colorants to mechanisms. Chem Soc Rev 2024; 53:7681-7741. [PMID: 38835195 DOI: 10.1039/d4cs00328d] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 06/06/2024]
Abstract
Colorimetric sensing offers instant reporting via visible signals. Versus labor-intensive and instrument-dependent detection methods, colorimetric sensors present advantages including short acquisition time, high throughput screening, low cost, portability, and a user-friendly approach. These advantages have driven substantial growth in colorimetric sensors, particularly in point-of-care (POC) diagnostics. Rapid progress in nanotechnology, materials science, microfluidics technology, biomarker discovery, digital technology, and signal pattern analysis has led to a variety of colorimetric reagents and detection mechanisms, which are fundamental to advance colorimetric sensing applications. This review first summarizes the basic components (e.g., color reagents, recognition interactions, and sampling procedures) in the design of a colorimetric sensing system. It then presents the rationale design and typical examples of POC devices, e.g., lateral flow devices, microfluidic paper-based analytical devices, and wearable sensing devices. Two highlighted colorimetric formats are discussed: combinational and activatable systems based on the sensor-array and lock-and-key mechanisms, respectively. Case discussions in colorimetric assays are organized by the analyte identities. Finally, the review presents challenges and perspectives for the design and development of colorimetric detection schemes as well as applications. The goal of this review is to provide a foundational resource for developing colorimetric systems and underscoring the colorants and mechanisms that facilitate the continuing evolution of POC sensors.
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Affiliation(s)
- Zhicheng Jin
- Aiiso Yufeng Li Family Department of Chemical and Nano Engineering, University of California, San Diego, La Jolla, CA 92093, USA.
| | - Wonjun Yim
- Materials Science and Engineering Program, University of California, San Diego, La Jolla, CA 92093, USA
| | - Maurice Retout
- Aiiso Yufeng Li Family Department of Chemical and Nano Engineering, University of California, San Diego, La Jolla, CA 92093, USA.
| | - Emily Housel
- Aiiso Yufeng Li Family Department of Chemical and Nano Engineering, University of California, San Diego, La Jolla, CA 92093, USA.
| | - Wenbin Zhong
- School of Chemistry, Chemical Engineering and Biotechnology, Nanyang Technological University, 21 Nanyang Link, Singapore 637371, Singapore
| | - Jiajing Zhou
- Aiiso Yufeng Li Family Department of Chemical and Nano Engineering, University of California, San Diego, La Jolla, CA 92093, USA.
| | - Michael S Strano
- Department of Chemical Engineering, Massachusetts Institute of Technology, Cambridge, MA 02139, USA
| | - Jesse V Jokerst
- Aiiso Yufeng Li Family Department of Chemical and Nano Engineering, University of California, San Diego, La Jolla, CA 92093, USA.
- Materials Science and Engineering Program, University of California, San Diego, La Jolla, CA 92093, USA
- Department of Radiology, University of California, San Diego, La Jolla, CA 92093, USA
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4
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Li X, Sun R, Pan J, Shi Z, An Z, Dai C, Lv J, Liu G, Liang H, Liu J, Lu Y, Zhang F, Liu Q. Rapid and on-site wireless immunoassay of respiratory virus aerosols via hydrogel-modulated resonators. Nat Commun 2024; 15:4035. [PMID: 38740742 PMCID: PMC11091083 DOI: 10.1038/s41467-024-48294-1] [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: 01/02/2024] [Accepted: 04/26/2024] [Indexed: 05/16/2024] Open
Abstract
Rapid and accurate detection of respiratory virus aerosols is highlighted for virus surveillance and infection control. Here, we report a wireless immunoassay technology for fast (within 10 min), on-site (wireless and battery-free), and sensitive (limit of detection down to fg/L) detection of virus antigens in aerosols. The wireless immunoassay leverages the immuno-responsive hydrogel-modulated radio frequency resonant sensor to capture and amplify the recognition of virus antigen, and flexible readout network to transduce the immuno bindings into electrical signals. The wireless immunoassay achieves simultaneous detection of respiratory viruses such as severe acute respiratory syndrome coronavirus 2, influenza A H1N1 virus, and respiratory syncytial virus for community infection surveillance. Direct detection of unpretreated clinical samples further demonstrates high accuracy for diagnosis of respiratory virus infection. This work provides a sensitive and accurate immunoassay technology for on-site virus detection and disease diagnosis compatible with wearable integration.
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Affiliation(s)
- Xin Li
- Biosensor National Special Laboratory, Key Laboratory for Biomedical Engineering of Education Ministry, Department of Biomedical Engineering, Zhejiang University, Hangzhou, 310027, China
- Taizhou Key Laboratory of Medical Devices and Advanced Materials, Research Institute of Zhejiang University-Taizhou, Taizhou, 318000, China
| | - Rujing Sun
- Biosensor National Special Laboratory, Key Laboratory for Biomedical Engineering of Education Ministry, Department of Biomedical Engineering, Zhejiang University, Hangzhou, 310027, China
- Guangxi Key Laboratory of AIDS Prevention and Treatment, School of Public Health, Biosafety III Laboratory, Life Science Institute, Guangxi Medical University, Nanning, 530021, Guangxi, China
| | - Jingying Pan
- Biosensor National Special Laboratory, Key Laboratory for Biomedical Engineering of Education Ministry, Department of Biomedical Engineering, Zhejiang University, Hangzhou, 310027, China
- School of Medicine, Zhejiang University, Hangzhou, 310027, China
| | - Zhenghan Shi
- Biosensor National Special Laboratory, Key Laboratory for Biomedical Engineering of Education Ministry, Department of Biomedical Engineering, Zhejiang University, Hangzhou, 310027, China
| | - Zijian An
- Biosensor National Special Laboratory, Key Laboratory for Biomedical Engineering of Education Ministry, Department of Biomedical Engineering, Zhejiang University, Hangzhou, 310027, China
| | - Chaobo Dai
- Biosensor National Special Laboratory, Key Laboratory for Biomedical Engineering of Education Ministry, Department of Biomedical Engineering, Zhejiang University, Hangzhou, 310027, China
| | - Jingjiang Lv
- Biosensor National Special Laboratory, Key Laboratory for Biomedical Engineering of Education Ministry, Department of Biomedical Engineering, Zhejiang University, Hangzhou, 310027, China
| | - Guang Liu
- Biosensor National Special Laboratory, Key Laboratory for Biomedical Engineering of Education Ministry, Department of Biomedical Engineering, Zhejiang University, Hangzhou, 310027, China
| | - Hao Liang
- Guangxi Key Laboratory of AIDS Prevention and Treatment, School of Public Health, Biosafety III Laboratory, Life Science Institute, Guangxi Medical University, Nanning, 530021, Guangxi, China
| | - Jun Liu
- Biosensor National Special Laboratory, Key Laboratory for Biomedical Engineering of Education Ministry, Department of Biomedical Engineering, Zhejiang University, Hangzhou, 310027, China
- Taizhou Key Laboratory of Medical Devices and Advanced Materials, Research Institute of Zhejiang University-Taizhou, Taizhou, 318000, China
| | - Yanli Lu
- Biosensor National Special Laboratory, Key Laboratory for Biomedical Engineering of Education Ministry, Department of Biomedical Engineering, Zhejiang University, Hangzhou, 310027, China
- Intelligent Perception Research Institute, Zhejiang Lab, Hangzhou, 311100, China
| | - Fenni Zhang
- Biosensor National Special Laboratory, Key Laboratory for Biomedical Engineering of Education Ministry, Department of Biomedical Engineering, Zhejiang University, Hangzhou, 310027, China
| | - Qingjun Liu
- Biosensor National Special Laboratory, Key Laboratory for Biomedical Engineering of Education Ministry, Department of Biomedical Engineering, Zhejiang University, Hangzhou, 310027, China.
- Taizhou Key Laboratory of Medical Devices and Advanced Materials, Research Institute of Zhejiang University-Taizhou, Taizhou, 318000, China.
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5
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de Araujo WR, Lukas H, Torres MDT, Gao W, de la Fuente-Nunez C. Low-Cost Biosensor Technologies for Rapid Detection of COVID-19 and Future Pandemics. ACS NANO 2024; 18:1757-1777. [PMID: 38189684 PMCID: PMC11537281 DOI: 10.1021/acsnano.3c01629] [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] [Indexed: 01/09/2024]
Abstract
Many systems have been designed for the detection of SARS-CoV-2, which is the virus that causes COVID-19. SARS-CoV-2 is readily transmitted, resulting in the rapid spread of disease in human populations. Frequent testing at the point of care (POC) is a key aspect for controlling outbreaks caused by SARS-CoV-2 and other emerging pathogens, as the early identification of infected individuals can then be followed by appropriate measures of isolation or treatment, maximizing the chances of recovery and preventing infectious spread. Diagnostic tools used for high-frequency testing should be inexpensive, provide a rapid diagnostic response without sophisticated equipment, and be amenable to manufacturing on a large scale. The application of these devices should enable large-scale data collection, help control viral transmission, and prevent disease propagation. Here we review functional nanomaterial-based optical and electrochemical biosensors for accessible POC testing for COVID-19. These biosensors incorporate nanomaterials coupled with paper-based analytical devices and other inexpensive substrates, traditional lateral flow technology (antigen and antibody immunoassays), and innovative biosensing methods. We critically discuss the advantages and disadvantages of nanobiosensor-based approaches compared to widely used technologies such as PCR, ELISA, and LAMP. Moreover, we delineate the main technological, (bio)chemical, translational, and regulatory challenges associated with developing functional and reliable biosensors, which have prevented their translation into the clinic. Finally, we highlight how nanobiosensors, given their unique advantages over existing diagnostic tests, may help in future pandemics.
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Affiliation(s)
- William Reis de Araujo
- Portable Chemical Sensors Lab, Department of Analytical Chemistry, Institute of Chemistry, State University of Campinas - UNICAMP, Campinas, SP 13083-970, Brazil
| | - Heather Lukas
- Andrew and Peggy Cherng Department of Medical Engineering, Division of Engineering and Applied Science, California Institute of Technology, Pasadena, California 91125, United States
| | - Marcelo D T Torres
- Machine Biology Group, Departments of Psychiatry and Microbiology, Institute for Biomedical Informatics, Institute for Translational Medicine and Therapeutics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania 19104, United States
- Departments of Bioengineering and Chemical and Biomolecular Engineering, School of Engineering and Applied Science, University of Pennsylvania, Philadelphia, Pennsylvania 19104, United States
- Penn Institute for Computational Science, University of Pennsylvania, Philadelphia, Pennsylvania 19104, United States
| | - Wei Gao
- Andrew and Peggy Cherng Department of Medical Engineering, Division of Engineering and Applied Science, California Institute of Technology, Pasadena, California 91125, United States
| | - Cesar de la Fuente-Nunez
- Machine Biology Group, Departments of Psychiatry and Microbiology, Institute for Biomedical Informatics, Institute for Translational Medicine and Therapeutics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania 19104, United States
- Departments of Bioengineering and Chemical and Biomolecular Engineering, School of Engineering and Applied Science, University of Pennsylvania, Philadelphia, Pennsylvania 19104, United States
- Penn Institute for Computational Science, University of Pennsylvania, Philadelphia, Pennsylvania 19104, United States
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6
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Kim YJ, Min J. Advances in nanobiosensors during the COVID-19 pandemic and future perspectives for the post-COVID era. NANO CONVERGENCE 2024; 11:3. [PMID: 38206526 PMCID: PMC10784265 DOI: 10.1186/s40580-023-00410-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/25/2023] [Accepted: 12/07/2023] [Indexed: 01/12/2024]
Abstract
The unprecedented threat of the highly contagious virus, severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), which causes exponentially increased infections of coronavirus disease 2019 (COVID-19), highlights the weak spots of the current diagnostic toolbox. In the midst of catastrophe, nanobiosensors offer a new opportunity as an alternative tool to fill a gap among molecular tests, rapid antigen tests, and serological tests. Nanobiosensors surpass the potential of antigen tests because of their enhanced sensitivity, thus enabling us to see antigens as stable and easy-to-access targets. During the first three years of the COVID-19 pandemic, a substantial number of studies have reported nanobiosensors for the detection of SARS-CoV-2 antigens. The number of articles on nanobiosensors and SARS-CoV-2 exceeds the amount of nanobiosensor research on detecting previous infectious diseases, from influenza to SARS-CoV and MERS-CoV. This unprecedented publishing pace also implies the significance of SARS-CoV-2 and the present pandemic. In this review, 158 studies reporting nanobiosensors for detecting SARS-CoV-2 antigens are collected to discuss the current challenges of nanobiosensors using the criteria of point-of-care (POC) diagnostics along with COVID-specific issues. These advances and lessons during the pandemic pave the way for preparing for the post-COVID era and potential upcoming infectious diseases.
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Affiliation(s)
- Young Jun Kim
- School of Integrative Engineering, Chung-Ang University, Heukseok-Dong, Dongjak-Gu, Seoul, 06974, Republic of Korea
| | - Junhong Min
- School of Integrative Engineering, Chung-Ang University, Heukseok-Dong, Dongjak-Gu, Seoul, 06974, Republic of Korea.
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7
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Rocha DS, Baldo TA, Silva-Neto HA, Duarte-Junior GF, Bazílio GS, Borges CL, Parente-Rocha JA, de Araujo WR, de Siervo A, Paixão TLRC, Coltro WKT. Disposable and eco-friendly electrochemical immunosensor for rapid detection of SARS-CoV-2. Talanta 2023; 268:125337. [PMID: 39491949 DOI: 10.1016/j.talanta.2023.125337] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/02/2023] [Revised: 09/25/2023] [Accepted: 10/23/2023] [Indexed: 11/05/2024]
Abstract
This study describes the development of a simple, disposable, and eco-friendly electrochemical immunosensor for rapid detection of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). Electrochemical devices were manufactured by stencil-printing using low-cost materials such as polyester sheets, graphite flakes, and natural resin. The immunosensor comprises gold nanoparticles stabilized with cysteamine, glutaraldehyde, anti-SARS-CoV-2 S protein monoclonal antibody (Ab1) as the biological receptor, and bovine serum albumin as a protective layer. The COVID-19 diagnostic was based on rapid square wave voltammetry measurements (15 min) using [Fe(CN)6]3-/4- as a redox probe. The method presented a linear response in the concentration range from 250 pg mL-1 to 20 μg mL-1 S protein, with a limit of detection of 36.3 pg mL-1. The proposed immunosensor was stable for up to two weeks when stored at 4 °C and it demonstrated excellent clinical performance in diagnosing COVID-19 when applied to a panel of 44 undiluted swab samples collected from symptomatic patients. In comparison with results obtained through the quantitative reverse transcription polymerase chain reaction method, the proposed immunosensor offered 100 % accuracy, thus emerging as a powerful alternative candidate for routine and decentralized testing, which can be helpful in controlling the COVID-19 outbreak.
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Affiliation(s)
- Danielly S Rocha
- Instituto de Química, Universidade Federal de Goiás, 74690-900, Goiânia, GO, Brazil
| | - Thaísa A Baldo
- Instituto de Química, Universidade Federal de Goiás, 74690-900, Goiânia, GO, Brazil
| | - Habdias A Silva-Neto
- Instituto de Química, Universidade Federal de Goiás, 74690-900, Goiânia, GO, Brazil
| | | | - Gabriela S Bazílio
- Instituto de Ciências Biológicas, Universidade Federal de Goiás, 74690-900, Goiânia, GO, Brazil
| | - Clayton L Borges
- Instituto de Ciências Biológicas, Universidade Federal de Goiás, 74690-900, Goiânia, GO, Brazil
| | - Juliana A Parente-Rocha
- Instituto de Ciências Biológicas, Universidade Federal de Goiás, 74690-900, Goiânia, GO, Brazil
| | - William R de Araujo
- Departamento de Química Analítica, Instituto de Química, Universidade Estadual de Campinas, Campinas, SP, 13083-970, Brazil
| | - Abner de Siervo
- Instituto de Física "Gleb Wataghin", Departamento de Física Aplicada, Universidade Estadual de Campinas, 13083-859, Campinas, SP, Brazil
| | - Thiago L R C Paixão
- Departamento de Química Fundamental, Instituto de Química, Universidade de São Paulo, 05508-900, São Paulo, SP, Brazil; Instituto Nacional de Ciência e Tecnologia de Bioanalítica, 13084-971, Campinas, SP, Brazil
| | - Wendell K T Coltro
- Instituto de Química, Universidade Federal de Goiás, 74690-900, Goiânia, GO, Brazil; Instituto Nacional de Ciência e Tecnologia de Bioanalítica, 13084-971, Campinas, SP, Brazil.
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8
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Yari P, Liang S, Chugh VK, Rezaei B, Mostufa S, Krishna VD, Saha R, Cheeran MCJ, Wang JP, Gómez-Pastora J, Wu K. Nanomaterial-Based Biosensors for SARS-CoV-2 and Future Epidemics. Anal Chem 2023; 95:15419-15449. [PMID: 37826859 DOI: 10.1021/acs.analchem.3c01522] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/14/2023]
Affiliation(s)
- Parsa Yari
- Department of Electrical and Computer Engineering, Texas Tech University, Lubbock, Texas 79409, United States
| | - Shuang Liang
- Department of Chemical Engineering and Materials Science, University of Minnesota, Minneapolis, Minnesota 55455, United States
| | - Vinit Kumar Chugh
- Department of Electrical and Computer Engineering, University of Minnesota, Minneapolis, Minnesota 55455, United States
| | - Bahareh Rezaei
- Department of Electrical and Computer Engineering, Texas Tech University, Lubbock, Texas 79409, United States
| | - Shahriar Mostufa
- Department of Electrical and Computer Engineering, Texas Tech University, Lubbock, Texas 79409, United States
| | - Venkatramana Divana Krishna
- Department of Veterinary Population Medicine, University of Minnesota, St. Paul, Minnesota 55108, United States
| | - Renata Saha
- Department of Electrical and Computer Engineering, University of Minnesota, Minneapolis, Minnesota 55455, United States
| | - Maxim C-J Cheeran
- Department of Veterinary Population Medicine, University of Minnesota, St. Paul, Minnesota 55108, United States
| | - Jian-Ping Wang
- Department of Chemical Engineering and Materials Science, University of Minnesota, Minneapolis, Minnesota 55455, United States
- Department of Electrical and Computer Engineering, University of Minnesota, Minneapolis, Minnesota 55455, United States
| | - Jenifer Gómez-Pastora
- Department of Chemical Engineering, Texas Tech University, Lubbock, Texas 79409, United States
| | - Kai Wu
- Department of Electrical and Computer Engineering, Texas Tech University, Lubbock, Texas 79409, United States
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9
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de Lima LF, Ferreira AL, Awasthi S, Torres MD, Friedman HM, Cohen GH, de Araujo WR, de la Fuente-Nunez C. Rapid and accurate detection of herpes simplex virus type 2 using a low-cost electrochemical biosensor. CELL REPORTS. PHYSICAL SCIENCE 2023; 4:101513. [PMID: 38239491 PMCID: PMC10795591 DOI: 10.1016/j.xcrp.2023.101513] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 01/22/2024]
Abstract
Herpes simplex virus type 2 (HSV-2) infection, which is almost exclusively sexually transmitted, causes genital herpes. Although this lifelong and incurable infection is extremely widespread, currently there is no readily available diagnostic device that accurately detects HSV-2 antigens to a satisfactory degree. Here, we report an ultrasensitive electrochemical device that detects HSV-2 antigens within 9 min and costs just $1 (USD) to manufacture. The electrochemical biosensor is biofunctionalized with the human cellular receptor nectin-1 and detects the glycoprotein gD2, which is present within the HSV-2 viral envelope. The performance of the device is tested in a guinea pig model that mimics human biofluids, yielding 88.9% sensitivity, 100.0% specificity, and 95.0% accuracy under these conditions, with a limit of detection of 0.019 fg mL-1 for gD2 protein and 0.057 PFU mL-1 for titered viral samples. Importantly, no cross-reactions with other viruses were detected, indicating the adequate robustness and selectivity of the sensor. Our low-cost technology could facilitate more frequent testing for HSV-2.
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Affiliation(s)
- Lucas F. de Lima
- Machine Biology Group, Departments of Psychiatry and Microbiology, Institute for Biomedical Informatics, Institute for Translational Medicine and Therapeutics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
- Departments of Bioengineering and Chemical and Biomolecular Engineering, School of Engineering and Applied Science, University of Pennsylvania, Philadelphia, PA, USA
- Penn Institute for Computational Science, University of Pennsylvania, Philadelphia, PA, USA
- Portable Chemical Sensors Lab, Department of Analytical Chemistry, Institute of Chemistry, State University of Campinas – UNICAMP, Campinas, Sã o Paulo, Brazil
- These authors contributed equally
| | - André L. Ferreira
- Machine Biology Group, Departments of Psychiatry and Microbiology, Institute for Biomedical Informatics, Institute for Translational Medicine and Therapeutics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
- Departments of Bioengineering and Chemical and Biomolecular Engineering, School of Engineering and Applied Science, University of Pennsylvania, Philadelphia, PA, USA
- Penn Institute for Computational Science, University of Pennsylvania, Philadelphia, PA, USA
- Portable Chemical Sensors Lab, Department of Analytical Chemistry, Institute of Chemistry, State University of Campinas – UNICAMP, Campinas, Sã o Paulo, Brazil
- These authors contributed equally
| | - Sita Awasthi
- Infectious Disease Division, Department of Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Marcelo D.T. Torres
- Machine Biology Group, Departments of Psychiatry and Microbiology, Institute for Biomedical Informatics, Institute for Translational Medicine and Therapeutics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
- Departments of Bioengineering and Chemical and Biomolecular Engineering, School of Engineering and Applied Science, University of Pennsylvania, Philadelphia, PA, USA
- Penn Institute for Computational Science, University of Pennsylvania, Philadelphia, PA, USA
| | - Harvey M. Friedman
- Infectious Disease Division, Department of Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Gary H. Cohen
- Department of Basic and Translational Sciences, School of Dental Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - William R. de Araujo
- Portable Chemical Sensors Lab, Department of Analytical Chemistry, Institute of Chemistry, State University of Campinas – UNICAMP, Campinas, Sã o Paulo, Brazil
| | - Cesar de la Fuente-Nunez
- Machine Biology Group, Departments of Psychiatry and Microbiology, Institute for Biomedical Informatics, Institute for Translational Medicine and Therapeutics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
- Departments of Bioengineering and Chemical and Biomolecular Engineering, School of Engineering and Applied Science, University of Pennsylvania, Philadelphia, PA, USA
- Penn Institute for Computational Science, University of Pennsylvania, Philadelphia, PA, USA
- Lead contact
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10
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de Lima LF, Ferreira AL, Ranjan I, Collman RG, de Araujo WR, de la Fuente-Nunez C. A bacterial cellulose-based and low-cost electrochemical biosensor for ultrasensitive detection of SARS-CoV-2. CELL REPORTS. PHYSICAL SCIENCE 2023; 4:101476. [PMID: 38239909 PMCID: PMC10795702 DOI: 10.1016/j.xcrp.2023.101476] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 01/22/2024]
Abstract
COVID-19 has led to over 6.8 million deaths worldwide and continues to affect millions of people, primarily in low-income countries and communities with low vaccination coverage. Low-cost and rapid response technologies that enable accurate, frequent testing of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) variants are crucial for outbreak prevention and infectious disease control. Here we produce and characterize cellulose fibers naturally generated by the bacterium Gluconacetobacter hansenii as an alternative biodegradable substrate for manufacturing an eco-friendly diagnostic test for COVID-19. Using this green technology, we describe a novel and label-free potentiometric diagnostic test that can detect SARS-CoV-2 within 10 min and costs US$3.50 per unit. The test has bacterial cellulose (BC) as its substrate and a carbon-based electrode modified with graphene oxide and the human angiotensin-converting enzyme-2 (ACE2) as its receptor. Our device accurately and precisely detects emerging SARS-CoV-2 variants and demonstrates exceptional sensitivity, specificity, and accuracy for tested clinical nasopharyngeal/oropharyngeal (NP/OP) samples.
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Affiliation(s)
- Lucas F. de Lima
- Machine Biology Group, Departments of Psychiatry and Microbiology, Institute for Biomedical Informatics, Institute for Translational Medicine and Therapeutics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
- Departments of Bioengineering and Chemical and Biomolecular Engineering, School of Engineering and Applied Science, University of Pennsylvania, Philadelphia, PA, USA
- Penn Institute for Computational Science, University of Pennsylvania, Philadelphia, PA, USA
- Portable Chemical Sensors Lab, Department of Analytical Chemistry, Institute of Chemistry, State University of Campinas – UNICAMP, Campinas, São Paulo, Brazil
- These authors contributed equally
| | - André L. Ferreira
- Machine Biology Group, Departments of Psychiatry and Microbiology, Institute for Biomedical Informatics, Institute for Translational Medicine and Therapeutics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
- Departments of Bioengineering and Chemical and Biomolecular Engineering, School of Engineering and Applied Science, University of Pennsylvania, Philadelphia, PA, USA
- Penn Institute for Computational Science, University of Pennsylvania, Philadelphia, PA, USA
- Portable Chemical Sensors Lab, Department of Analytical Chemistry, Institute of Chemistry, State University of Campinas – UNICAMP, Campinas, São Paulo, Brazil
- These authors contributed equally
| | - Ishani Ranjan
- Machine Biology Group, Departments of Psychiatry and Microbiology, Institute for Biomedical Informatics, Institute for Translational Medicine and Therapeutics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
- Departments of Bioengineering and Chemical and Biomolecular Engineering, School of Engineering and Applied Science, University of Pennsylvania, Philadelphia, PA, USA
- Penn Institute for Computational Science, University of Pennsylvania, Philadelphia, PA, USA
| | - Ronald G. Collman
- Department of Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - William R. de Araujo
- Portable Chemical Sensors Lab, Department of Analytical Chemistry, Institute of Chemistry, State University of Campinas – UNICAMP, Campinas, São Paulo, Brazil
| | - Cesar de la Fuente-Nunez
- Machine Biology Group, Departments of Psychiatry and Microbiology, Institute for Biomedical Informatics, Institute for Translational Medicine and Therapeutics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
- Departments of Bioengineering and Chemical and Biomolecular Engineering, School of Engineering and Applied Science, University of Pennsylvania, Philadelphia, PA, USA
- Penn Institute for Computational Science, University of Pennsylvania, Philadelphia, PA, USA
- Lead contact
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11
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Ferreira LMC, Reis IF, Martins PR, Marcolino-Junior LH, Bergamini MF, Camargo JR, Janegitz BC, Vicentini FC. Using low-cost disposable immunosensor based on flexible PET screen-printed electrode modified with carbon black and gold nanoparticles for sensitive detection of SARS-CoV-2. TALANTA OPEN 2023; 7:100201. [PMID: 36959870 PMCID: PMC9998283 DOI: 10.1016/j.talo.2023.100201] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/22/2022] [Revised: 03/02/2023] [Accepted: 03/05/2023] [Indexed: 03/12/2023] Open
Abstract
To help meet the global demand for reliable and inexpensive COVID-19 testing and environmental analysis of SARS-CoV-2, the present work reports the development and application of a highly efficient disposable electrochemical immunosensor for the detection of SARS-CoV-2 in clinical and environmental matrices. The sensor developed is composed of a screen-printed electrode (SPE) array which was constructed using conductive carbon ink printed on polyethylene terephthalate (PET) substrate made from disposable soft drink bottles. The recognition site (Spike S1 Antibody (anti-SP Ab)) was covalently immobilized on the working electrode surface, which was effectively modified with carbon black (CB) and gold nanoparticles (AuNPs). The immunosensing material was subjected to a multi-technique characterization analysis using X-ray diffraction (XRD), transmission electron microscopy (TEM), and scanning electron microscopy (SEM) with elemental analysis via energy dispersive spectroscopy (EDS). The electrochemical characterization of the electrode surface and analytical measurements were performed using cyclic voltammetry (CV) and square-wave voltammetry (SWV). The immunosensor was easily applied for the conduct of rapid diagnoses or accurate quantitative environmental analyses by setting the incubation period to 10 min or 120 min. Under optimized conditions, the biosensor presented limits of detection (LODs) of 101 fg mL-1 and 46.2 fg mL-1 for 10 min and 120 min incubation periods, respectively; in addition, the sensor was successfully applied for SARS-CoV-2 detection and quantification in clinical and environmental samples. Considering the costs of all the raw materials required for manufacturing 200 units of the AuNP-CB/PET-SPE immunosensor, the production cost per unit is 0.29 USD.
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Affiliation(s)
- Luís M C Ferreira
- Center of Nature Sciences, Federal University of São Carlos, Rod. Lauri Simões de Barros km 12, 18290-000, Buri, SP, Brazil
| | - Isabela F Reis
- Center of Nature Sciences, Federal University of São Carlos, Rod. Lauri Simões de Barros km 12, 18290-000, Buri, SP, Brazil
| | - Paulo R Martins
- Institute of Chemistry, Federal University of Goiás, Av. Esperança, Goiania, GO 74690-900, Brazil
| | - Luiz H Marcolino-Junior
- Laboratory of Electrochemical Sensors (LabSensE) - Department of Chemistry, Federal University of Paraná, 81.531-980, Curitiba, PR, Brazil
| | - Marcio F Bergamini
- Laboratory of Electrochemical Sensors (LabSensE) - Department of Chemistry, Federal University of Paraná, 81.531-980, Curitiba, PR, Brazil
| | - Jessica R Camargo
- Department of Nature Sciences, Mathematics and Education, Federal University of São Carlos, 13600-970, Araras, SP, Brazil
| | - Bruno C Janegitz
- Department of Nature Sciences, Mathematics and Education, Federal University of São Carlos, 13600-970, Araras, SP, Brazil
| | - Fernando C Vicentini
- Center of Nature Sciences, Federal University of São Carlos, Rod. Lauri Simões de Barros km 12, 18290-000, Buri, SP, Brazil
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12
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Liu Y, Qin Z, Zhou J, Jia X, Li H, Wang X, Chen Y, Sun Z, He X, Li H, Wang G, Chang H. Nano-biosensor for SARS-CoV-2/COVID-19 detection: methods, mechanism and interface design. RSC Adv 2023; 13:17883-17906. [PMID: 37323463 PMCID: PMC10262965 DOI: 10.1039/d3ra02560h] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/18/2023] [Accepted: 05/26/2023] [Indexed: 06/17/2023] Open
Abstract
The epidemic of coronavirus disease 2019 (COVID-19) was a huge disaster to human society. The severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), which led to COVID-19, has resulted in a large number of deaths. Even though the reverse transcription-polymerase chain reaction (RT-PCR) is the most efficient method for the detection of SARS-CoV-2, the disadvantages (such as long detection time, professional operators, expensive instruments, and laboratory equipment) limit its application. In this review, the different kinds of nano-biosensors based on surface-enhanced Raman scattering (SERS), surface plasmon resonance (SPR), field-effect transistor (FET), fluorescence methods, and electrochemical methods are summarized, starting with a concise description of their sensing mechanism. The different bioprobes (such as ACE2, S protein-antibody, IgG antibody, IgM antibody, and SARS-CoV-2 DNA probes) with different bio-principles are introduced. The key structural components of the biosensors are briefly introduced to give readers an understanding of the principles behind the testing methods. In particular, SARS-CoV-2-related RNA mutation detection and its challenges are also briefly described. We hope that this review will encourage readers with different research backgrounds to design SARS-CoV-2 nano-biosensors with high selectivity and sensitivity.
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Affiliation(s)
- Yansheng Liu
- School of Electronic Engineering, Guangxi University of Science and Technology Liuzhou 545616 Guangxi China
- Quantum-Nano Matter and Device Lab, State Key Laboratory of Material Processing and Die and Mould Technology, School of Materials Science and Engineering, Huazhong University of Science and Technology Wuhan 430074 Hubei China
| | - Zhenle Qin
- School of Electronic Engineering, Guangxi University of Science and Technology Liuzhou 545616 Guangxi China
| | - Jin Zhou
- School of Electronic Engineering, Guangxi University of Science and Technology Liuzhou 545616 Guangxi China
| | - Xiaobo Jia
- School of Electronic Engineering, Guangxi University of Science and Technology Liuzhou 545616 Guangxi China
| | - Hongli Li
- School of Electronic Engineering, Guangxi University of Science and Technology Liuzhou 545616 Guangxi China
| | - Xiaohong Wang
- School of Electronic Engineering, Guangxi University of Science and Technology Liuzhou 545616 Guangxi China
| | - Yating Chen
- School of Electronic Engineering, Guangxi University of Science and Technology Liuzhou 545616 Guangxi China
| | - Zijun Sun
- School of Electronic Engineering, Guangxi University of Science and Technology Liuzhou 545616 Guangxi China
| | - Xiong He
- School of Electronic Engineering, Guangxi University of Science and Technology Liuzhou 545616 Guangxi China
| | - Hongda Li
- School of Electronic Engineering, Guangxi University of Science and Technology Liuzhou 545616 Guangxi China
- Quantum-Nano Matter and Device Lab, State Key Laboratory of Material Processing and Die and Mould Technology, School of Materials Science and Engineering, Huazhong University of Science and Technology Wuhan 430074 Hubei China
| | - Guofu Wang
- School of Electronic Engineering, Guangxi University of Science and Technology Liuzhou 545616 Guangxi China
| | - Haixin Chang
- Quantum-Nano Matter and Device Lab, State Key Laboratory of Material Processing and Die and Mould Technology, School of Materials Science and Engineering, Huazhong University of Science and Technology Wuhan 430074 Hubei China
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13
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Salahandish R, Hyun JE, Haghayegh F, Tabrizi HO, Moossavi S, Khetani S, Ayala‐Charca G, Berenger BM, Niu YD, Ghafar‐Zadeh E, Nezhad AS. CoVSense: Ultrasensitive Nucleocapsid Antigen Immunosensor for Rapid Clinical Detection of Wildtype and Variant SARS-CoV-2. ADVANCED SCIENCE (WEINHEIM, BADEN-WURTTEMBERG, GERMANY) 2023; 10:e2206615. [PMID: 36995043 PMCID: PMC10214237 DOI: 10.1002/advs.202206615] [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: 11/11/2022] [Revised: 01/31/2023] [Indexed: 05/27/2023]
Abstract
The widespread accessibility of commercial/clinically-viable electrochemical diagnostic systems for rapid quantification of viral proteins demands translational/preclinical investigations. Here, Covid-Sense (CoVSense) antigen testing platform; an all-in-one electrochemical nano-immunosensor for sample-to-result, self-validated, and accurate quantification of the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) nucleocapsid (N)-proteins in clinical examinations is developed. The platform's sensing strips benefit from a highly-sensitive, nanostructured surface, created through the incorporation of carboxyl-functionalized graphene nanosheets, and poly(3,4-ethylenedioxythiophene) polystyrene sulfonate (PEDOT:PSS) conductive polymers, enhancing the overall conductivity of the system. The nanoengineered surface chemistry allows for compatible direct assembly of bioreceptor molecules. CoVSense offers an inexpensive (<$2 kit) and fast/digital response (<10 min), measured using a customized hand-held reader (<$25), enabling data-driven outbreak management. The sensor shows 95% clinical sensitivity and 100% specificity (Ct<25), and overall sensitivity of 91% for combined symptomatic/asymptomatic cohort with wildtype SARS-CoV-2 or B.1.1.7 variant (N = 105, nasal/throat samples). The sensor correlates the N-protein levels to viral load, detecting high Ct values of ≈35, with no sample preparation steps, while outperforming the commercial rapid antigen tests. The current translational technology fills the gap in the workflow of rapid, point-of-care, and accurate diagnosis of COVID-19.
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Affiliation(s)
- Razieh Salahandish
- BioMEMS and Bioinspired Microfluidic LaboratoryDepartment of Biomedical EngineeringUniversity of CalgaryCalgaryABT2N 1N4Canada
- Department of Mechanical and Manufacturing EngineeringUniversity of CalgaryCalgaryABT2N 1N4Canada
- Laboratory of Advanced Biotechnologies for Health Assessments (LAB‐HA)Department of Electrical Engineering and Computer ScienceLassonde School of EngineeringYork UniversityTorontoM3J 1P3Canada
| | - Jae Eun Hyun
- Department of Ecosystem and Public HealthFaculty of Veterinary MedicineUniversity of CalgaryCalgaryABT2N 1N4Canada
| | - Fatemeh Haghayegh
- BioMEMS and Bioinspired Microfluidic LaboratoryDepartment of Biomedical EngineeringUniversity of CalgaryCalgaryABT2N 1N4Canada
- Department of Mechanical and Manufacturing EngineeringUniversity of CalgaryCalgaryABT2N 1N4Canada
| | - Hamed Osouli Tabrizi
- Biologically Inspired Sensors and Actuators (BioSA)Department of Electrical Engineering and Computer ScienceLassonde School of EngineeringYork UniversityTorontoM3J 1P3Canada
| | - Shirin Moossavi
- BioMEMS and Bioinspired Microfluidic LaboratoryDepartment of Biomedical EngineeringUniversity of CalgaryCalgaryABT2N 1N4Canada
- Department of Physiology and PharmacologyUniversity of CalgaryCalgaryABT2N 1N4Canada
- International Microbiome CentreCumming School of MedicineHealth Sciences CentreUniversity of CalgaryCalgaryABT2N 1N4Canada
| | - Sultan Khetani
- BioMEMS and Bioinspired Microfluidic LaboratoryDepartment of Biomedical EngineeringUniversity of CalgaryCalgaryABT2N 1N4Canada
| | - Giancarlo Ayala‐Charca
- Biologically Inspired Sensors and Actuators (BioSA)Department of Electrical Engineering and Computer ScienceLassonde School of EngineeringYork UniversityTorontoM3J 1P3Canada
| | - Byron M. Berenger
- Alberta Public Health LaboratoryAlberta Precision Laboratories3330 Hospital DriveCalgaryABT2N 4W4Canada
- Department of Pathology and Laboratory MedicineFaculty of MedicineUniversity of CalgaryCalgaryABT2N 1N4Canada
| | - Yan Dong Niu
- Department of Ecosystem and Public HealthFaculty of Veterinary MedicineUniversity of CalgaryCalgaryABT2N 1N4Canada
| | - Ebrahim Ghafar‐Zadeh
- Biologically Inspired Sensors and Actuators (BioSA)Department of Electrical Engineering and Computer ScienceLassonde School of EngineeringYork UniversityTorontoM3J 1P3Canada
| | - Amir Sanati Nezhad
- BioMEMS and Bioinspired Microfluidic LaboratoryDepartment of Biomedical EngineeringUniversity of CalgaryCalgaryABT2N 1N4Canada
- Department of Mechanical and Manufacturing EngineeringUniversity of CalgaryCalgaryABT2N 1N4Canada
- Biomedical Engineering Graduate ProgramUniversity of CalgaryCalgaryABT2N 1N4Canada
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14
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Taha BA, Al Mashhadany Y, Al-Jubouri Q, Rashid ARBA, Luo Y, Chen Z, Rustagi S, Chaudhary V, Arsad N. Next-generation nanophotonic-enabled biosensors for intelligent diagnosis of SARS-CoV-2 variants. THE SCIENCE OF THE TOTAL ENVIRONMENT 2023; 880:163333. [PMID: 37028663 PMCID: PMC10076079 DOI: 10.1016/j.scitotenv.2023.163333] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 03/31/2023] [Accepted: 04/02/2023] [Indexed: 04/15/2023]
Abstract
Constantly mutating SARS-CoV-2 is a global concern resulting in COVID-19 infectious waves from time to time in different regions, challenging present-day diagnostics and therapeutics. Early-stage point-of-care diagnostic (POC) biosensors are a crucial vector for the timely management of morbidity and mortalities caused due to COVID-19. The state-of-the-art SARS-CoV-2 biosensors depend upon developing a single platform for its diverse variants/biomarkers, enabling precise detection and monitoring. Nanophotonic-enabled biosensors have emerged as 'one platform' to diagnose COVID-19, addressing the concern of constant viral mutation. This review assesses the evolution of current and future variants of the SARS-CoV-2 and critically summarizes the current state of biosensor approaches for detecting SARS-CoV-2 variants/biomarkers employing nanophotonic-enabled diagnostics. It discusses the integration of modern-age technologies, including artificial intelligence, machine learning and 5G communication with nanophotonic biosensors for intelligent COVID-19 monitoring and management. It also highlights the challenges and potential opportunities for developing intelligent biosensors for diagnosing future SARS-CoV-2 variants. This review will guide future research and development on nano-enabled intelligent photonic-biosensor strategies for early-stage diagnosing of highly infectious diseases to prevent repeated outbreaks and save associated human mortalities.
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Affiliation(s)
- Bakr Ahmed Taha
- Photonics Technology Laboratory, Department of Electrical, Electronic and Systems Engineering, Faculty of Engineering and Built Environment, Universiti Kebangsaan Malaysia UKM, 43600 Bangi, Malaysia.
| | - Yousif Al Mashhadany
- Department of Electrical Engineering, College of Engineering, University of Anbar, Anbar 00964, Iraq
| | - Qussay Al-Jubouri
- Department of Communication Engineering, University of Technology, Baghdad, Iraq
| | - Affa Rozana Bt Abdul Rashid
- Faculty of Science and Technology, University Sains Islam Malaysia, Bandar Baru Nilai, 71800 Nilai, Negeri Sembilan, Malaysia
| | - Yunhan Luo
- Guangdong Provincial Key Laboratory of Optical Fiber Sensing and Communications, Department of Optoelectronic Engineering, College of Science and Engineering, Jinan University, Guangzhou 510632, China
| | - Zhe Chen
- Key Laboratory of Optoelectronic Information and Sensing Technologies of Guangdong Higher Education Institutes, Jinan University Guangzhou, 510632, China
| | - Sarvesh Rustagi
- School of Applied and Life Sciences, Uttaranchal University, Dehradun, Uttarakhand, India
| | - Vishal Chaudhary
- Department of Physics, Bhagini Nivedita College, University of Delhi, New Delhi 110045, India.
| | - Norhana Arsad
- Photonics Technology Laboratory, Department of Electrical, Electronic and Systems Engineering, Faculty of Engineering and Built Environment, Universiti Kebangsaan Malaysia UKM, 43600 Bangi, Malaysia.
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15
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Park SJ, Lee S, Lee D, Lee NE, Park JS, Hong JH, Jang JW, Kim H, Roh S, Lee G, Lee D, Cho SY, Park C, Lee DG, Lee R, Nho D, Yoon DS, Yoo YK, Lee JH. PCR-like performance of rapid test with permselective tunable nanotrap. Nat Commun 2023; 14:1520. [PMID: 36934093 PMCID: PMC10024276 DOI: 10.1038/s41467-023-37018-6] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/03/2022] [Accepted: 02/24/2023] [Indexed: 03/20/2023] Open
Abstract
Highly sensitive rapid testing for COVID-19 is essential for minimizing virus transmission, especially before the onset of symptoms and in asymptomatic cases. Here, we report bioengineered enrichment tools for lateral flow assays (LFAs) with enhanced sensitivity and specificity (BEETLES2), achieving enrichment of SARS-CoV-2 viruses, nucleocapsid (N) proteins and immunoglobulin G (IgG) with 3-minute operation. The limit of detection is improved up to 20-fold. We apply this method to clinical samples, including 83% with either intermediate (35%) or low viral loads (48%), collected from 62 individuals (n = 42 for positive and n = 20 for healthy controls). We observe diagnostic sensitivity, specificity, and accuracy of 88.1%, 100%, and 91.9%, respectively, compared with commercial LFAs alone achieving 14.29%, 100%, and 41.94%, respectively. BEETLES2, with permselectivity and tunability, can enrich the SARS-CoV-2 virus, N proteins, and IgG in the nasopharyngeal/oropharyngeal swab, saliva, and blood serum, enabling reliable and sensitive point-of-care testing, facilitating fast early diagnosis.
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Affiliation(s)
- Seong Jun Park
- Department of Electrical Engineering, Kwangwoon University, 20 Kwangwoon-ro, Nowon, Seoul, 01897, Republic of Korea
| | - Seungmin Lee
- Department of Electrical Engineering, Kwangwoon University, 20 Kwangwoon-ro, Nowon, Seoul, 01897, Republic of Korea
- School of Biomedical Engineering, Korea University, 145 Anam-ro, Seongbuk, Seoul, 02841, Republic of Korea
| | - Dongtak Lee
- School of Biomedical Engineering, Korea University, 145 Anam-ro, Seongbuk, Seoul, 02841, Republic of Korea
| | - Na Eun Lee
- Department of Electrical Engineering, Kwangwoon University, 20 Kwangwoon-ro, Nowon, Seoul, 01897, Republic of Korea
- Department of Biotechnology, College of Life Sciences and Biotechnology, Korea University, Seoul, 02841, Republic of Korea
| | - Jeong Soo Park
- Department of Electrical Engineering, Kwangwoon University, 20 Kwangwoon-ro, Nowon, Seoul, 01897, Republic of Korea
| | - Ji Hye Hong
- Department of Electrical Engineering, Kwangwoon University, 20 Kwangwoon-ro, Nowon, Seoul, 01897, Republic of Korea
- School of Biomedical Engineering, Korea University, 145 Anam-ro, Seongbuk, Seoul, 02841, Republic of Korea
| | - Jae Won Jang
- School of Biomedical Engineering, Korea University, 145 Anam-ro, Seongbuk, Seoul, 02841, Republic of Korea
- Interdisciplinary Program in Precision Public Health, Korea University, Seoul, 02841, Republic of Korea
| | - Hyunji Kim
- School of Biomedical Engineering, Korea University, 145 Anam-ro, Seongbuk, Seoul, 02841, Republic of Korea
- Interdisciplinary Program in Precision Public Health, Korea University, Seoul, 02841, Republic of Korea
| | - Seokbeom Roh
- Department of Biotechnology and Bioinformatics, Korea University, Sejong, 30019, Republic of Korea
- Interdisciplinary Graduate Program for Artificial Intelligence Smart Convergence Technology, Korea University, Sejong, 30019, Korea
| | - Gyudo Lee
- Department of Biotechnology and Bioinformatics, Korea University, Sejong, 30019, Republic of Korea
- Interdisciplinary Graduate Program for Artificial Intelligence Smart Convergence Technology, Korea University, Sejong, 30019, Korea
| | - Dongho Lee
- CALTH Inc., Changeop-ro 54, Seongnam, Gyeonggi, 13449, Republic of Korea
| | - Sung-Yeon Cho
- Vaccine Bio Research Institute, College of Medicine, The Catholic University of Korea, Seoul, Republic of Korea
- Division of Infectious Diseases, Department of Internal Medicine, College of Medicine, The Catholic University of Korea, Seoul, Republic of Korea
| | - Chulmin Park
- Vaccine Bio Research Institute, College of Medicine, The Catholic University of Korea, Seoul, Republic of Korea
| | - Dong-Gun Lee
- Vaccine Bio Research Institute, College of Medicine, The Catholic University of Korea, Seoul, Republic of Korea
- Division of Infectious Diseases, Department of Internal Medicine, College of Medicine, The Catholic University of Korea, Seoul, Republic of Korea
| | - Raeseok Lee
- Vaccine Bio Research Institute, College of Medicine, The Catholic University of Korea, Seoul, Republic of Korea
- Division of Infectious Diseases, Department of Internal Medicine, College of Medicine, The Catholic University of Korea, Seoul, Republic of Korea
| | - Dukhee Nho
- Vaccine Bio Research Institute, College of Medicine, The Catholic University of Korea, Seoul, Republic of Korea
- Division of Infectious Diseases, Department of Internal Medicine, College of Medicine, The Catholic University of Korea, Seoul, Republic of Korea
| | - Dae Sung Yoon
- School of Biomedical Engineering, Korea University, 145 Anam-ro, Seongbuk, Seoul, 02841, Republic of Korea.
- Interdisciplinary Program in Precision Public Health, Korea University, Seoul, 02841, Republic of Korea.
- Astrion Inc, Seoul, 02841, Republic of Korea.
| | - Yong Kyoung Yoo
- Department of Electronic Engineering, Catholic Kwandong University, 24, Beomil-ro 579 beon-gil, Gangneung-si, Gangwon-do, 25601, Republic of Korea.
| | - Jeong Hoon Lee
- Department of Electrical Engineering, Kwangwoon University, 20 Kwangwoon-ro, Nowon, Seoul, 01897, Republic of Korea.
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16
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Deng Y, Zhou T, Peng Y, Wang M, Xiang L, Zhang Y, Li J, Yang J, Li G. Dual-Gene-Controlled Rolling Circle Amplification Strategy for SARS-CoV-2 Analysis. Anal Chem 2023; 95:3358-3362. [PMID: 36723441 PMCID: PMC9897047 DOI: 10.1021/acs.analchem.2c04572] [Citation(s) in RCA: 17] [Impact Index Per Article: 17.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/17/2022] [Accepted: 01/24/2023] [Indexed: 02/02/2023]
Abstract
The development of sensitive, accurate, and conveniently operated methods for the simultaneous assay of two nucleic acids is promising while still challenging. In this work, by using two genes (the N gene and RdRp gene) of the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) as examples, we have designed an ingenious dual-gene-controlled rolling circle amplification (RCA) strategy to propose an accurate and sensitive electrochemical method. Specifically, the coexistence of the two target genes can trigger the RCA reaction to generate a number of repeated G-quadruplex (G4)-forming sequences. These sequences then switch into G4/hemin complexes with redox activity after the incubation of hemin, which can catalyze the TMB/H2O2 substrates to produce significantly enhanced current responses. Experimental results reveal that the proposed method exhibits satisfying feasibility and analytical performance, enabling the sensitive detection of SARS-CoV-2 in the range of 0.1-5000 pM, with the detection limit of 57 fM. Meanwhile, because only the simultaneous existence of the two target genes can effectively trigger the downstream amplification reaction, this method can effectively avoid false-positives and ensure specificity as well as accuracy. Furthermore, our method can distinguish the COVID-19 samples from healthy people, and the outcomes show a satisfying agreement with the results of RT-PCR, manifesting that our label-free dual-gene-controlled RCA strategy exhibits great possibility in clinical application.
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Affiliation(s)
- Ying Deng
- State Key Laboratory of Analytical Chemistry for Life
Science, School of Life Sciences, Nanjing University,
Nanjing210023, P. R. China
| | - Tianci Zhou
- State Key Laboratory of Analytical Chemistry for Life
Science, School of Life Sciences, Nanjing University,
Nanjing210023, P. R. China
| | - Ying Peng
- State Key Laboratory of Analytical Chemistry for Life
Science, School of Life Sciences, Nanjing University,
Nanjing210023, P. R. China
| | - Minghui Wang
- State Key Laboratory of Analytical Chemistry for Life
Science, School of Life Sciences, Nanjing University,
Nanjing210023, P. R. China
| | - Liangliang Xiang
- The Second Hospital of Nanjing, Nanjing
University of Chinese Medicine, Nanjing210003, P. R.
China
| | - Yuanyuan Zhang
- Department of Obstetrics and Gynecology,
The First Affiliated Hospital of Nanjing Medical University,
Nanjing210029, P. R. China
| | - Jinlong Li
- The Second Hospital of Nanjing, Nanjing
University of Chinese Medicine, Nanjing210003, P. R.
China
| | - Jie Yang
- State Key Laboratory of Analytical Chemistry for Life
Science, School of Life Sciences, Nanjing University,
Nanjing210023, P. R. China
| | - Genxi Li
- State Key Laboratory of Analytical Chemistry for Life
Science, School of Life Sciences, Nanjing University,
Nanjing210023, P. R. China
- Center for Molecular Recognition and Biosensing,
School of Life Sciences, Shanghai University, Shanghai200444,
P. R. China
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17
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Truong PL, Yin Y, Lee D, Ko SH. Advancement in COVID-19 detection using nanomaterial-based biosensors. EXPLORATION (BEIJING, CHINA) 2023; 3:20210232. [PMID: 37323622 PMCID: PMC10191025 DOI: 10.1002/exp.20210232] [Citation(s) in RCA: 19] [Impact Index Per Article: 19.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 12/06/2021] [Accepted: 05/11/2022] [Indexed: 06/17/2023]
Abstract
Coronavirus disease 2019 (COVID-19) pandemic has exemplified how viral growth and transmission are a significant threat to global biosecurity. The early detection and treatment of viral infections is the top priority to prevent fresh waves and control the pandemic. Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) has been identified through several conventional molecular methodologies that are time-consuming and require high-skill labor, apparatus, and biochemical reagents but have a low detection accuracy. These bottlenecks hamper conventional methods from resolving the COVID-19 emergency. However, interdisciplinary advances in nanomaterials and biotechnology, such as nanomaterials-based biosensors, have opened new avenues for rapid and ultrasensitive detection of pathogens in the field of healthcare. Many updated nanomaterials-based biosensors, namely electrochemical, field-effect transistor, plasmonic, and colorimetric biosensors, employ nucleic acid and antigen-antibody interactions for SARS-CoV-2 detection in a highly efficient, reliable, sensitive, and rapid manner. This systematic review summarizes the mechanisms and characteristics of nanomaterials-based biosensors for SARS-CoV-2 detection. Moreover, continuing challenges and emerging trends in biosensor development are also discussed.
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Affiliation(s)
- Phuoc Loc Truong
- Laser and Thermal Engineering LabDepartment of Mechanical EngineeringGachon UniversitySeongnamKorea
| | - Yiming Yin
- New Materials InstituteDepartment of MechanicalMaterials and Manufacturing EngineeringUniversity of Nottingham Ningbo ChinaNingboChina
- Applied Nano and Thermal Science LabDepartment of Mechanical EngineeringSeoul National UniversityGwanak‐guSeoulKorea
| | - Daeho Lee
- Laser and Thermal Engineering LabDepartment of Mechanical EngineeringGachon UniversitySeongnamKorea
| | - Seung Hwan Ko
- Applied Nano and Thermal Science LabDepartment of Mechanical EngineeringSeoul National UniversityGwanak‐guSeoulKorea
- Institute of Advanced Machinery and Design (SNU‐IAMD)/Institute of Engineering ResearchSeoul National UniversityGwanak‐guSeoulKorea
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18
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Zhao X, Yang Z, Niu R, Tang Y, Wang H, Gao R, Zhao Y, Jing X, Wang D, Lin P, Guan H, Meng L. MIL-101(CuFe) Nanozymes with Excellent Peroxidase-like Activity for Simple, Accurate, and Visual Naked-Eye Detection of SARS-CoV-2. Anal Chem 2023; 95:1731-1738. [PMID: 36576944 PMCID: PMC9843630 DOI: 10.1021/acs.analchem.2c05043] [Citation(s) in RCA: 8] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/12/2022] [Accepted: 12/16/2022] [Indexed: 12/29/2022]
Abstract
The COVID-19 pandemic has spread to every corner of the world and seriously affected our health and daily activities in the past three years; thereby, it is still urgent to develop various simple, quick, and accurate methods for early detection of the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) transmission. Nanozymes, a kind of nanomaterial with intrinsic enzyme-mimicking activity, have emerged as a suitable alternative for both therapy and diagnosis of SARS-CoV-2. Here, ultrasensitive and ultrafast MIL-101(CuFe)-CD147 biosensors are established for the detection of SARS-CoV-2 by a simple colorimetric method. A MIL-101(CuFe) metal-organic framework has excellent peroxidase-like activity due to the synergistic effect of Fe and Cu atoms. In addition, the MIL-101(CuFe)-CD147 biosensor shows great potential to detect the various variants of SARS-CoV-2 due to the universal receptor of CD147. The enzyme-based biosensor for the detection of SARS-CoV-2 achieves a very low limit of detection (about 3 PFU/mL) within 30 min. Therefore, the present method provides a new generation of an alternative approach for highly sensitive and visual diagnosis of COVID-19.
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Affiliation(s)
- Xiaoping Zhao
- School
of Chemistry, Xi’an Key Laboratory of Sustainable Energy Material
Chemistry, Xi’an Jiaotong University, Xi’an710049, P.R. China
| | - Zhiwei Yang
- MOE
Key Laboratory for Nonequilibrium Synthesis and Modulation of Condensed
Matter, School of Physics, Xi’an
Jiaotong University, Xi’an710049, P.R. China
| | - Ruoxin Niu
- School
of Chemistry, Xi’an Key Laboratory of Sustainable Energy Material
Chemistry, Xi’an Jiaotong University, Xi’an710049, P.R. China
| | - Ye Tang
- School
of Chemistry, Xi’an Key Laboratory of Sustainable Energy Material
Chemistry, Xi’an Jiaotong University, Xi’an710049, P.R. China
| | - Heng Wang
- School
of Chemistry, Xi’an Key Laboratory of Sustainable Energy Material
Chemistry, Xi’an Jiaotong University, Xi’an710049, P.R. China
| | - Rui Gao
- School
of Chemistry, Xi’an Key Laboratory of Sustainable Energy Material
Chemistry, Xi’an Jiaotong University, Xi’an710049, P.R. China
| | - Yizhen Zhao
- MOE
Key Laboratory for Nonequilibrium Synthesis and Modulation of Condensed
Matter, School of Physics, Xi’an
Jiaotong University, Xi’an710049, P.R. China
| | - Xunan Jing
- The
First Affiliated Hospital, Xi’an
Jiaotong University, Xi’an710061, P.R. China
| | - Daquan Wang
- School
of Chemistry, Xi’an Key Laboratory of Sustainable Energy Material
Chemistry, Xi’an Jiaotong University, Xi’an710049, P.R. China
| | - Peng Lin
- National
Translational Science Center for Molecular Medicine & Department
of Cell Biology& Department of Burns and Cutaneous Surgery, Fourth Military Medical University, Xi’an710032, P.R. China
| | - Hao Guan
- National
Translational Science Center for Molecular Medicine & Department
of Cell Biology& Department of Burns and Cutaneous Surgery, Fourth Military Medical University, Xi’an710032, P.R. China
| | - Lingjie Meng
- School
of Chemistry, Xi’an Key Laboratory of Sustainable Energy Material
Chemistry, Xi’an Jiaotong University, Xi’an710049, P.R. China
- The
First Affiliated Hospital, Xi’an
Jiaotong University, Xi’an710061, P.R. China
- Instrumental
Analysis Center of Xi’an Jiaotong University, Xi’an710049, P.R. China
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19
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Lin Y, Sun B, Jin Z, Zhao K. Enhanced Immune Responses to Mucosa by Functionalized Chitosan-Based Composite Nanoparticles as a Vaccine Adjuvant for Intranasal Delivery. ACS APPLIED MATERIALS & INTERFACES 2022; 14:52691-52701. [PMID: 36382954 DOI: 10.1021/acsami.2c17627] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/16/2023]
Abstract
Nasal administration for vaccine delivery is a novel non-invasive vaccine administration approach that can induce local or systemic immune responses and overcome the disadvantages caused by traditional injectable administration. However, mucosal vaccine and adjuvant delivery systems with sustained-release ability and enhanced immune effects at mucosal sites have still been highly demanded. In this work, N-2-hydroxypropyl trimethyl ammonium chloride chitosan/N,O-carboxymethyl chitosan nanoparticles (N-2-HACC/CMCS NPs) with excellent mucosal absorption, high drug loading capacity, and enhanced immune responses were prepared by the ionic cross-linking method. To evaluate the potential capacity of the N-2-HACC/CMCS NPs as a vaccine adjuvant and the molecular mechanism for the induction of enhanced mucosal and systemic immune responses, bovine serum albumin (BSA) was employed as a general model antigen and loaded into the N-2-HACC/CMCS NPs to prepare a BSA-loaded N-2-HACC/CMCS adjuvant vaccine (N-2-HACC/CMCS/BSA NPs). It was well demonstrated that the N-2-HACC/CMCS/BSA NPs with great biostability and mucosal absorption could effectively promote the proliferation of lymphocytes and the secretion of related pro-inflammatory factors, resulting in the stimulation of specific mucosal and systemic immune responses. This study revealed that the chitosan-based nano-delivery system can act as the mucosal vaccine adjuvant and possesses great promise in viral infectious diseases and immunization therapy.
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Affiliation(s)
- Yuhong Lin
- Institute of Nanobiomaterials and Immunology, School of Life Science, Taizhou University, Zhejiang, Taizhou318000, China
| | - Beini Sun
- MOE Key Laboratory of Laser Life Science & Guangdong Provincial Key Laboratory of Laser Life Science, College of Biophotonics, South China Normal University, Guangdong, Guangzhou510631, China
| | - Zheng Jin
- Institute of Nanobiomaterials and Immunology, School of Life Science, Taizhou University, Zhejiang, Taizhou318000, China
| | - Kai Zhao
- Institute of Nanobiomaterials and Immunology, School of Life Science, Taizhou University, Zhejiang, Taizhou318000, China
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20
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Gul I, Zhai S, Zhong X, Chen Q, Yuan X, Du Z, Chen Z, Raheem MA, Deng L, Leeansyah E, Zhang C, Yu D, Qin P. Angiotensin-Converting Enzyme 2-Based Biosensing Modalities and Devices for Coronavirus Detection. BIOSENSORS 2022; 12:984. [PMID: 36354493 PMCID: PMC9688389 DOI: 10.3390/bios12110984] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/28/2022] [Revised: 11/02/2022] [Accepted: 11/03/2022] [Indexed: 05/30/2023]
Abstract
Rapid and cost-effective diagnostic tests for severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) are a critical and valuable weapon for the coronavirus disease 2019 (COVID-19) pandemic response. SARS-CoV-2 invasion is primarily mediated by human angiotensin-converting enzyme 2 (hACE2). Recent developments in ACE2-based SARS-CoV-2 detection modalities accentuate the potential of this natural host-virus interaction for developing point-of-care (POC) COVID-19 diagnostic systems. Although research on harnessing ACE2 for SARS-CoV-2 detection is in its infancy, some interesting biosensing devices have been developed, showing the commercial viability of this intriguing new approach. The exquisite performance of the reported ACE2-based COVID-19 biosensors provides opportunities for researchers to develop rapid detection tools suitable for virus detection at points of entry, workplaces, or congregate scenarios in order to effectively implement pandemic control and management plans. However, to be considered as an emerging approach, the rationale for ACE2-based biosensing needs to be critically and comprehensively surveyed and discussed. Herein, we review the recent status of ACE2-based detection methods, the signal transduction principles in ACE2 biosensors and the development trend in the future. We discuss the challenges to development of ACE2-biosensors and delineate prospects for their use, along with recommended solutions and suggestions.
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Affiliation(s)
- Ijaz Gul
- Institute of Biopharmaceutical and Health Engineering, Tsinghua Shenzhen International Graduate School, Tsinghua University, Shenzhen 518055, China
- Tsinghua-Berkeley Shenzhen Institute, Tsinghua Shenzhen International Graduate School, Tsinghua University, Shenzhen 518055, China
| | - Shiyao Zhai
- Institute of Biopharmaceutical and Health Engineering, Tsinghua Shenzhen International Graduate School, Tsinghua University, Shenzhen 518055, China
- Tsinghua-Berkeley Shenzhen Institute, Tsinghua Shenzhen International Graduate School, Tsinghua University, Shenzhen 518055, China
| | - Xiaoyun Zhong
- Institute of Biopharmaceutical and Health Engineering, Tsinghua Shenzhen International Graduate School, Tsinghua University, Shenzhen 518055, China
- Tsinghua-Berkeley Shenzhen Institute, Tsinghua Shenzhen International Graduate School, Tsinghua University, Shenzhen 518055, China
| | - Qun Chen
- Institute of Biopharmaceutical and Health Engineering, Tsinghua Shenzhen International Graduate School, Tsinghua University, Shenzhen 518055, China
- Tsinghua-Berkeley Shenzhen Institute, Tsinghua Shenzhen International Graduate School, Tsinghua University, Shenzhen 518055, China
| | - Xi Yuan
- Institute of Biopharmaceutical and Health Engineering, Tsinghua Shenzhen International Graduate School, Tsinghua University, Shenzhen 518055, China
- Tsinghua-Berkeley Shenzhen Institute, Tsinghua Shenzhen International Graduate School, Tsinghua University, Shenzhen 518055, China
| | - Zhicheng Du
- Institute of Biopharmaceutical and Health Engineering, Tsinghua Shenzhen International Graduate School, Tsinghua University, Shenzhen 518055, China
- Tsinghua-Berkeley Shenzhen Institute, Tsinghua Shenzhen International Graduate School, Tsinghua University, Shenzhen 518055, China
| | - Zhenglin Chen
- Institute of Biopharmaceutical and Health Engineering, Tsinghua Shenzhen International Graduate School, Tsinghua University, Shenzhen 518055, China
- Tsinghua-Berkeley Shenzhen Institute, Tsinghua Shenzhen International Graduate School, Tsinghua University, Shenzhen 518055, China
| | - Muhammad Akmal Raheem
- Institute of Biopharmaceutical and Health Engineering, Tsinghua Shenzhen International Graduate School, Tsinghua University, Shenzhen 518055, China
- Tsinghua-Berkeley Shenzhen Institute, Tsinghua Shenzhen International Graduate School, Tsinghua University, Shenzhen 518055, China
| | - Lin Deng
- Shenzhen Bay Laboratory, Shenzhen 518132, China
| | - Edwin Leeansyah
- Institute of Biopharmaceutical and Health Engineering, Tsinghua Shenzhen International Graduate School, Tsinghua University, Shenzhen 518055, China
- Tsinghua-Berkeley Shenzhen Institute, Tsinghua Shenzhen International Graduate School, Tsinghua University, Shenzhen 518055, China
| | - Canyang Zhang
- Institute of Biopharmaceutical and Health Engineering, Tsinghua Shenzhen International Graduate School, Tsinghua University, Shenzhen 518055, China
- Tsinghua-Berkeley Shenzhen Institute, Tsinghua Shenzhen International Graduate School, Tsinghua University, Shenzhen 518055, China
| | - Dongmei Yu
- Department of Computer Science and Technology, School of Mechanical, Electrical & Information Engineering, Shandong University, Weihai 264209, China
| | - Peiwu Qin
- Institute of Biopharmaceutical and Health Engineering, Tsinghua Shenzhen International Graduate School, Tsinghua University, Shenzhen 518055, China
- Tsinghua-Berkeley Shenzhen Institute, Tsinghua Shenzhen International Graduate School, Tsinghua University, Shenzhen 518055, China
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21
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Bhattacharjee R, Dubey AK, Ganguly A, Bhattacharya B, Mishra YK, Mostafavi E, Kaushik A. State-of-art high-performance Nano-systems for mutated coronavirus infection management: From Lab to Clinic. OPENNANO 2022. [PMCID: PMC9463543 DOI: 10.1016/j.onano.2022.100078] [Citation(s) in RCA: 9] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 12/12/2022]
Abstract
The emerging severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) variants made emerging novel coronavirus diseases (COVID-19) pandemic/endemic/or both more severe and difficult to manage due to increased worry about the efficacy and efficiency of present preventative, therapeutic, and sensing measures. To deal with these unexpected circumstances, the development of novel nano-systems with tuneable optical, electrical, magnetic, and morphological properties can lead to novel research needed for (1) COVID-19 infection (anti-microbial systems against SARS-CoV-2), (2) early detection of mutated SARS-CoV-2, and (3) targeted delivery of therapeutics using nano-systems, i.e., nanomedicine. However, there is a knowledge gap in understanding all these nano-biotechnology potentials for managing mutated SARS-CoV-2 on a single platform. To bring up the aspects of nanotechnology to tackle SARS-CoV-2 variants related COVID-19 pandemic, this article emphasizes improvements in the high-performance of nano-systems to combat SARS-CoV-2 strains/variants with a goal of managing COVID-19 infection via trapping, eradication, detection/sensing, and treatment of virus. The potential of state-of-the-art nano-assisted approaches has been demonstrated as an efficient drug delivery systems, viral disinfectants, vaccine productive cargos, anti-viral activity, and biosensors suitable for point-of-care (POC) diagnostics. Furthermore, the process linked with the efficacy of nanosystems to neutralize and eliminate SARS-CoV-2 is extensively highligthed in this report. The challenges and opportunities associated with managing COVID-19 using nanotechnology as part of regulations are also well-covered. The outcomes of this review will help researchers to design, investigate, and develop an appropriate nano system to manage COVID-19 infection, with a focus on the detection and eradication of SARS-CoV-2 and its variants. This article is unique in that it discusses every aspect of high-performance nanotechnology for ideal COVID pandemic management.
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22
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Zeng R, Qiu M, Wan Q, Huang Z, Liu X, Tang D, Knopp D. Smartphone-Based Electrochemical Immunoassay for Point-of-Care Detection of SARS-CoV-2 Nucleocapsid Protein. Anal Chem 2022; 94:15155-15161. [PMID: 36251341 PMCID: PMC9578645 DOI: 10.1021/acs.analchem.2c03606] [Citation(s) in RCA: 134] [Impact Index Per Article: 67.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/17/2022] [Accepted: 10/07/2022] [Indexed: 11/28/2022]
Abstract
Large-scale, rapid, and inexpensive serological diagnoses of severe acute respiratory syndrome-coronavirus-2 (SARS-CoV-2) are of great interest in reducing virus transmission at the population level; however, their development is greatly plagued by the lack of available point-of-care methods, leading to low detection efficiency. Herein, an ultrasensitive smartphone-based electrochemical immunoassay is reported for rapid (less than 5 min), low-cost, easy-to-implement detection of the SARS-CoV-2 nucleocapsid protein (SARS-CoV-2 N protein). Specifically, the electrochemical immunoassay was fabricated on a screen-printed carbon electrode coated with electrodeposited gold nanoparticles, followed by incubation of anti-N antibody (Ab) and bovine serum albumin as the working electrode. Accompanied by the antigen-antibody reaction between the SARS-CoV-2 N protein and the Ab, the electron transfer between the electroactive species [Fe(CN)6]3-/4- and the electrode surface is disturbed, resulting in reduced square-wave voltammetry currents at 0.075 V versus the Ag/AgCl reference electrode. The proposed immunoassay provided a good linear range with SARS-CoV-2 N protein concentrations within the scope of 0.01-1000 ng/mL (R2 = 0.9992) and the limit of detection down to 2.6 pg/mL. Moreover, the detection data are wirelessly transmitted to the interface of the smartphone, and the corresponding SARS-CoV-2 N protein concentration value is calculated and displayed. Therefore, the proposed portable detection mode offers great potential for self-differential diagnosis of residents, which will greatly facilitate the effective control and large-scale screening of virus transmission in resource-limited areas.
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Affiliation(s)
- Ruijin Zeng
- Key Laboratory of Analytical Science for Food Safety
and Biology (MOE and Fujian Province), Department of Chemistry, Fuzhou
University, Fuzhou350108, People’s Republic of
China
| | - Minghao Qiu
- Key Laboratory of Analytical Science for Food Safety
and Biology (MOE and Fujian Province), Department of Chemistry, Fuzhou
University, Fuzhou350108, People’s Republic of
China
| | - Qing Wan
- School of Electronics and Information Engineering,
Hubei University of Science and Technology, Xianning437100,
People’s Republic of China
| | - Zhisheng Huang
- School of Electronics and Information Engineering,
Hubei University of Science and Technology, Xianning437100,
People’s Republic of China
| | - Xiaolong Liu
- The United Innovation of Mengchao Hepatobiliary
Technology Key Laboratory of Fujian Province, Mengchao Hepatobiliary Hospital
of Fujian Medical University, Fuzhou350025, People’s
Republic of China
| | - Dianping Tang
- Key Laboratory of Analytical Science for Food Safety
and Biology (MOE and Fujian Province), Department of Chemistry, Fuzhou
University, Fuzhou350108, People’s Republic of
China
| | - Dietmar Knopp
- Department of Chemistry, Chair for Analytical
Chemistry and Water Chemistry, Institute of Hydrochemistry, Technische
Universität München, Lichtenbergstrasse 4, D-85748Garching,
Germany
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23
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Dutta R, Makhaik S, Zhao P, Cruz KG, Park KW, Liu H, Andrew TL, Hardy JA, Thayumanavan S. Colorimetric Cotton Swab for Viral Protease Detection. Anal Chem 2022; 94:12699-12705. [PMID: 36054755 DOI: 10.1021/acs.analchem.2c02033] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/30/2022]
Abstract
Reporting the activity of a specific viral protease remains an acute need for rapid point-of-care detection strategies that can distinguish active infection from a resolved infection. In this work, we present a simple colorimetric approach for reporting the activity of a specific viral protease through direct color conversion on a cotton swab, which has the potential to be extended to detect the corresponding virus. We use SARS-CoV-2 viral protease as a proof-of-concept model system. We use 4-aminomalachite green (4-AMG) as the base chromophore structure to design a CoV2-AMG reporter, which is selective toward the SARS-CoV-2 Mpro but does not produce any observable color change in the presence of other viral proteases. The color change is observable by the naked eye, as well as smartphone imaging, which affords a lower limit of detection. The simplicity and generalizability of the method could be instrumental in combating future viral outbreaks.
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24
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Huang H, Li Y, Kuang Y, Zhang X, Majid Z, He X, Luo Y, Huang K, Cheng N. Zwitterion-modified antifouling swab joint “Snake-Eye” for detection of Salmonella in colored foodstuffs. Biosens Bioelectron 2022; 211:114375. [DOI: 10.1016/j.bios.2022.114375] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/05/2022] [Revised: 05/12/2022] [Accepted: 05/13/2022] [Indexed: 12/31/2022]
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25
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Tessaro L, Aquino A, Panzenhagen P, Joshi N, Conte-Junior CA. A systematic review of the advancement on colorimetric nanobiosensors for SARS-CoV-2 detection. J Pharm Biomed Anal 2022; 222:115087. [PMID: 36206693 PMCID: PMC9523903 DOI: 10.1016/j.jpba.2022.115087] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/02/2022] [Revised: 09/17/2022] [Accepted: 09/28/2022] [Indexed: 11/15/2022]
Abstract
The current pandemic of the acute severe respiratory syndrome coronavirus 2 (SARS-CoV-2) killed about 6.4 million and infected more than 600 million individuals by august of 2022, and researchers worldwide are searching for fast and selective approaches for this virus detection. Colorimetric biosensors are an excellent alternative because they are sensitive, simple, fast, and low-cost for rapid detection of SARS-CoV-2 compared to standard Enzyme-linked immunosorbent assay (ELISA) and Polymerase Chain Reaction (PCR) techniques. This study systematically searched and reviewed literature data related to colorimetric biosensors in detecting SARS-CoV-2 viruses, recovered from the Scopus (n = 16), Web of Science (n = 19), PubMed (n = 19), and Science Direct (n = 17) databases totalizing n = 71 articles. Data were analyzed for the type of nanomaterial, biorecognition material at the detection limit (LOD), and devices designed for diagnostics. The most applied nanomaterial were gold nanoparticles, in their original form and hybrid in quantum dots and core-shell. In addition, we show high specificity in point-of-care (POC) diagnostic devices as a faster and cheaper alternative for clinical diagnosis. Finally, the highlights of the colorimetric biosensor developed for diagnostic devices applied in swabs, surgical masks, and lateral flow immunoassays were presented.
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Affiliation(s)
- Leticia Tessaro
- Analytical and Molecular Laboratorial Center (CLAn), Institute of Chemistry (IQ), Federal University of Rio de Janeiro (UFRJ), Cidade Universitária, Rio de Janeiro, RJ 21941-909, Brazil; Center for Food Analysis (NAL), Technological Development Support Laboratory (LADETEC), Federal University of Rio de Janeiro (UFRJ), University City, Rio de Janeiro, RJ, Brazil; Laboratory of Advanced Analysis in Biochemistry and Molecular Biology (LAABBM), Department of Biochemistry, Federal University of Rio de Janeiro (UFRJ), University City, Rio de Janeiro, RJ, Brazil; Nanotechnology Network, Carlos Chagas Filho Research Support Foundation of the State of Rio de Janeiro (FAPERJ), Rio de Janeiro, RJ, Brazil; Post-Graduation Program of Chemistry (PGQu), Institute of chemistry (IQ), Federal University of Rio de Janeiro (UFRJ), University City, Rio de Janeiro, RJ, Brazil.
| | - Adriano Aquino
- Analytical and Molecular Laboratorial Center (CLAn), Institute of Chemistry (IQ), Federal University of Rio de Janeiro (UFRJ), Cidade Universitária, Rio de Janeiro, RJ 21941-909, Brazil; Center for Food Analysis (NAL), Technological Development Support Laboratory (LADETEC), Federal University of Rio de Janeiro (UFRJ), University City, Rio de Janeiro, RJ, Brazil; Laboratory of Advanced Analysis in Biochemistry and Molecular Biology (LAABBM), Department of Biochemistry, Federal University of Rio de Janeiro (UFRJ), University City, Rio de Janeiro, RJ, Brazil; Nanotechnology Network, Carlos Chagas Filho Research Support Foundation of the State of Rio de Janeiro (FAPERJ), Rio de Janeiro, RJ, Brazil; Post-Graduation Program of Chemistry (PGQu), Institute of chemistry (IQ), Federal University of Rio de Janeiro (UFRJ), University City, Rio de Janeiro, RJ, Brazil
| | - Pedro Panzenhagen
- Analytical and Molecular Laboratorial Center (CLAn), Institute of Chemistry (IQ), Federal University of Rio de Janeiro (UFRJ), Cidade Universitária, Rio de Janeiro, RJ 21941-909, Brazil; Center for Food Analysis (NAL), Technological Development Support Laboratory (LADETEC), Federal University of Rio de Janeiro (UFRJ), University City, Rio de Janeiro, RJ, Brazil; Laboratory of Advanced Analysis in Biochemistry and Molecular Biology (LAABBM), Department of Biochemistry, Federal University of Rio de Janeiro (UFRJ), University City, Rio de Janeiro, RJ, Brazil; Nanotechnology Network, Carlos Chagas Filho Research Support Foundation of the State of Rio de Janeiro (FAPERJ), Rio de Janeiro, RJ, Brazil
| | - Nirav Joshi
- Analytical and Molecular Laboratorial Center (CLAn), Institute of Chemistry (IQ), Federal University of Rio de Janeiro (UFRJ), Cidade Universitária, Rio de Janeiro, RJ 21941-909, Brazil; Center for Food Analysis (NAL), Technological Development Support Laboratory (LADETEC), Federal University of Rio de Janeiro (UFRJ), University City, Rio de Janeiro, RJ, Brazil; Laboratory of Advanced Analysis in Biochemistry and Molecular Biology (LAABBM), Department of Biochemistry, Federal University of Rio de Janeiro (UFRJ), University City, Rio de Janeiro, RJ, Brazil; Nanotechnology Network, Carlos Chagas Filho Research Support Foundation of the State of Rio de Janeiro (FAPERJ), Rio de Janeiro, RJ, Brazil
| | - Carlos Adam Conte-Junior
- Analytical and Molecular Laboratorial Center (CLAn), Institute of Chemistry (IQ), Federal University of Rio de Janeiro (UFRJ), Cidade Universitária, Rio de Janeiro, RJ 21941-909, Brazil; Center for Food Analysis (NAL), Technological Development Support Laboratory (LADETEC), Federal University of Rio de Janeiro (UFRJ), University City, Rio de Janeiro, RJ, Brazil; Laboratory of Advanced Analysis in Biochemistry and Molecular Biology (LAABBM), Department of Biochemistry, Federal University of Rio de Janeiro (UFRJ), University City, Rio de Janeiro, RJ, Brazil; Nanotechnology Network, Carlos Chagas Filho Research Support Foundation of the State of Rio de Janeiro (FAPERJ), Rio de Janeiro, RJ, Brazil; Post-Graduation Program of Chemistry (PGQu), Institute of chemistry (IQ), Federal University of Rio de Janeiro (UFRJ), University City, Rio de Janeiro, RJ, Brazil.
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Komsthöft T, Bovone G, Bernhard S, Tibbitt MW. Polymer functionalization of inorganic nanoparticles for biomedical applications. Curr Opin Chem Eng 2022. [DOI: 10.1016/j.coche.2022.100849] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/25/2022]
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27
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Shirvaliloo M, Sheervalilou R, Ahmadpour E, Safiri S, Bannazadeh Baghi H. Diagnostic accuracy of clinically applied nanoparticle-based biosensors at detecting SARS-CoV-2 RNA and surface proteins in pharyngeal swabs compared to RT-PCR as a reference test. Expert Rev Mol Diagn 2022; 22:881-894. [PMID: 36224104 DOI: 10.1080/14737159.2022.2135434] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/06/2023]
Abstract
INTRODUCTION Nanoparticle-based biosensors (NPBs) are point-of-care diagnostic platforms that can be used for detection of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) with high accuracy. AREAS COVERED EBSCOhost Web, Embase, ProQuest, PubMed/MEDLINE, Scopus, Web of Science, and WHO Global Literature on Coronavirus Disease 2019 (COVID-19) were searched for relevant records published from 1 November 2019 to 30 April 2022. Records reporting original data on the accuracy of clinically applied nanoparticle-based biosensors at detecting SARS-CoV-2 RNA and surface proteins from pharyngeal swab specimens were considered. Findings were reported based on the PRISMA 2020 statement. The QUADAS-2 tool was used for assessment of quality and risk of bias among the included studies. EXPERT OPINION A total of 50 relevant records were identified, of which 13 were included. The included studies explored the diagnostic performance of 13 clinically applied distinct nanoparticle-based biosensors in a total of 789 pharyngeal swabs collected from 376 COVID-19 patients and 413 otherwise healthy individuals. The mean sensitivity, specificity, and accuracy were 97.07%, 94.43%, and 96.91%, respectively, in comparison to RT-qPCR as the reference test. Considering their ease-of-operation, portability, low-cost manufacturing, NPBs could be considered suitable candidate diagnostic platforms for substituting RT-qPCR.
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Affiliation(s)
- Milad Shirvaliloo
- Infectious and Tropical Diseases Research Center, Tabriz University of Medical Sciences, Tabriz, Iran.,Future Science Group, Unitec House, 2 Albert Place, London, N3 1QB, UK
| | | | - Ehsan Ahmadpour
- Infectious and Tropical Diseases Research Center, Tabriz University of Medical Sciences, Tabriz, Iran.,Department of Parasitology and Mycology, Faculty of Medicine, Tabriz University of Medical Sciences, Tabriz, Iran
| | - Saeid Safiri
- Neurosciences Research Center, Aging Research Institute, Tabriz University of Medical Sciences, Tabriz, Iran.,Tuberculosis and Lung Disease Research Center, Tabriz University of Medical Sciences, Tabriz, Iran
| | - Hossein Bannazadeh Baghi
- Infectious and Tropical Diseases Research Center, Tabriz University of Medical Sciences, Tabriz, Iran.,Department of Microbiology, Faculty of Medicine, Tabriz University of Medical Sciences, Tabriz, Iran
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Wei H, Zhang C, Du X, Zhang Z. Research progress of biosensors for detection of SARS-CoV-2 variants based on ACE2. Talanta 2022; 251:123813. [PMID: 35952504 PMCID: PMC9356646 DOI: 10.1016/j.talanta.2022.123813] [Citation(s) in RCA: 11] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/08/2022] [Revised: 07/30/2022] [Accepted: 08/02/2022] [Indexed: 11/12/2022]
Abstract
Currently, the coronavirus disease 2019 (COVID-19) pandemic is ravaging the world, causing serious crisis in economy and human health. The top priority is the detection and drug development of the novel coronavirus. The gold standard for real-time diagnosis of coronavirus disease is the reverse transcription-polymerase chain reaction (RT-PCR), which is usually operatively complex and time-consuming. Biosensors are known for their low cost and rapid detection, which are developing rapidly in detecting severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). The current study showed that the spike protein of SARS-CoV-2 will bind to angiotensin-converting hormone 2 (ACE2) to mediate the entry of the virus into cells. Interestingly, the affinity between ACE2 and SARS-CoV-2 spike protein increases with the mutation of the virus. Using ACE2 as a biosensor recognition receptor to detect SARS-CoV-2 will effectively avoid the decline of detection accuracy and false negative caused by variants. In fact, due to the variation of the virus, it may even lead to enhanced detection performance. In addition, ACE2-specific drugs to prevent SARS-CoV-2 from entering cells will be effectively evaluated using the biosensors even with virus mutations. Here, we reviewed the biosensors for rapid detection of SARS-CoV-2 by ACE2 and discussed the advantages of ACE2 as an antibody for the detection of SARS-CoV-2 variants. The review also discussed the value of ACE2-based biosensors for screening for drugs that modulate the interaction between ACE2 and SARS-CoV-2.
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Engineering light-initiated afterglow lateral flow immunoassay for infectious disease diagnostics. Biosens Bioelectron 2022; 212:114411. [PMID: 35623251 PMCID: PMC9119864 DOI: 10.1016/j.bios.2022.114411] [Citation(s) in RCA: 18] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/10/2022] [Revised: 05/17/2022] [Accepted: 05/18/2022] [Indexed: 02/07/2023]
Abstract
The pandemic of highly contagious diseases has put forward urgent requirements for high sensitivity and adaptive capacity of point-of-care testing (POCT). Herein, for the first time, we report an aggregation-induced emission (AIE) dye-energized light-initiated afterglow nanoprobes (named LiAGNPs), implemented onto a lateral flow immunoassay (LFIA) test strip, for diagnosis of two highly contagious diseases, human immunodeficiency virus (HIV) and severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) as model validation. The primary working mechanism relies on the cyclically generated singlet oxygen (1O2)-triggered time-resolved luminescent signals of LiAGNPs in which AIE dyes (TTMN) and chemiluminescent substrates (SO) are loaded. The designed LiAGNPs were found 2-fold and 32-fold sensitive than the currently used Eu(III)-based time-resolved fluorescent nanoparticles and gold nanoparticles in lateral flow immunoassay (LFIA), respectively. In addition, the extra optical behaviors of nude color and fluorescence of LiAGNPs enable the LFIA platform with the capability of the naked eye and fluorescent detection to satisfy the applications under varying scenarios. In short, the versatile LiAGNPs have great potential as a novel time-resolved reporter in enhancing detection sensitivity and application flexibility with LFIA platform for rapid but sensitive infectious disease diagnostics.
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Carey TR, Kozminsky M, Hall J, Vargas-Zapata V, Geiger K, Coscoy L, Sohn LL. Detecting Intact Virus Using Exogenous Oligonucleotide Labels. Anal Chem 2022; 94:7619-7627. [PMID: 35584293 DOI: 10.1021/acs.analchem.2c00835] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/30/2022]
Abstract
The COVID-19 pandemic has revealed how an emerging pathogen can cause a sudden and dramatic increase in demand for viral testing. Testing pooled samples could meet this demand; however, the sensitivity of reverse transcription quantitative polymerase chain reaction (RT-qPCR), the gold standard, significantly decreases with an increasing number of samples pooled. Here, we introduce detection of intact virus by exogenous-nucleotide reaction (DIVER), a method that quantifies intact virus and is robust to sample dilution. As demonstrated using two models of severe acute respiratory syndrome coronavirus 2, DIVER first tags membraned particles with exogenous oligonucleotides, then captures the tagged particles on beads functionalized with a virus-specific capture agent (in this instance, angiotensin-converting enzyme 2), and finally quantifies the oligonucleotide tags using qPCR. Using spike-presenting liposomes and spike-pseudotyped lentivirus, we show that DIVER can detect 1 × 105 liposomes and 100 plaque-forming units of lentivirus and can successfully identify positive samples in pooling experiments. Overall, DIVER is well positioned for efficient sample pooling and clinical validation.
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Affiliation(s)
- Thomas R Carey
- UC Berkeley-UC San Francisco Graduate Program in Bioengineering, University of California, Berkeley, 306 Stanley Hall, Berkeley, California 94720, United States
| | - Molly Kozminsky
- California Institute for Quantitative Biosciences, University of California, Berkeley, 174 Stanley Hall, Berkeley, California 94720, United States
| | - Jennifer Hall
- Department of Molecular and Cellular Biology, University of California, Berkeley, 3200 Weill Hall, Berkeley, California 94720, United States
| | - Valerie Vargas-Zapata
- Department of Molecular and Cellular Biology, University of California, Berkeley, 3200 Weill Hall, Berkeley, California 94720, United States
| | - Kristina Geiger
- Department of Molecular and Cellular Biology, University of California, Berkeley, 3200 Weill Hall, Berkeley, California 94720, United States
| | - Laurent Coscoy
- Department of Molecular and Cellular Biology, University of California, Berkeley, 3200 Weill Hall, Berkeley, California 94720, United States
| | - Lydia L Sohn
- UC Berkeley-UC San Francisco Graduate Program in Bioengineering, University of California, Berkeley, 306 Stanley Hall, Berkeley, California 94720, United States.,Department of Mechanical Engineering, University of California, Berkeley, 5118 Etcheverry Hall, Berkeley, California 94720, United States
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31
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Wang S, Liu Y, Qiu Y, Dou Q, Han Y, Huang M, Hong K, Yang B, Zhou X, Dai Q. Saliva-based point-of-care testing techniques for COVID-19 detection. Virol Sin 2022; 37:472-476. [PMID: 35508276 PMCID: PMC9056993 DOI: 10.1016/j.virs.2022.04.004] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/02/2021] [Accepted: 03/30/2022] [Indexed: 11/30/2022] Open
Abstract
The advantages of COVID-19 detection in saliva were systematically introduced. Saliva-based POCT technologies for the detection of COVID-19 were reviewed. A positive correlation between COVID-19 antibodies in saliva and serum was demonstrated.
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Torres MD, de Lima LF, Ferreira AL, de Araujo WR, Callahan P, Dávila A, Abella BS, de la Fuente-Nunez C. Detection of SARS-CoV-2 with RAPID: a prospective cohort study. iScience 2022; 25:104055. [PMID: 35291265 PMCID: PMC8913428 DOI: 10.1016/j.isci.2022.104055] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/04/2021] [Revised: 01/20/2022] [Accepted: 03/07/2022] [Indexed: 11/29/2022] Open
Abstract
COVID-19 has killed over 6 million people worldwide. Currently available methods to detect SARS-CoV-2 are limited by their cost and need for multistep sample preparation and trained personnel. Therefore, there is an urgent need to develop fast, inexpensive, and scalable point-of-care diagnostics that can be used for mass testing. Between January and March 2021, we obtained 321 anterior nare swab samples from individuals in Philadelphia (PA, USA). For the Real-time Accurate Portable Impedimetric Detection prototype 1.0 (RAPID) test, anterior nare samples were tested via an electrochemical impedance spectroscopy (EIS) approach. The overall sensitivity, specificity, and accuracy of RAPID in this cohort study were 80.6%, 89.0%, and 88.2%, respectively. We present a rapid, accurate, inexpensive (<$5.00 per unit), and scalable test for diagnosing COVID-19 at the point-of-care. We anticipate that further iterations of this approach will enable widespread deployment, large-scale testing, and population-level surveillance. RAPID shows high accuracy, sensitivity, and specificity in prospective cohort study RAPID was successfully validated using 321 clinical samples Effective point-of-care diagnosis of a heterogeneous sample set
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Affiliation(s)
- Marcelo D.T. Torres
- Machine Biology Group, Departments of Psychiatry and Microbiology, Institute for Biomedical Informatics, Institute for Translational Medicine and Therapeutics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
- Departments of Bioengineering and Chemical and Biomolecular Engineering, School of Engineering and Applied Science, University of Pennsylvania, Philadelphia, PA, USA
- Penn Institute for Computational Science, University of Pennsylvania, Philadelphia, PA, USA
| | - Lucas F. de Lima
- Machine Biology Group, Departments of Psychiatry and Microbiology, Institute for Biomedical Informatics, Institute for Translational Medicine and Therapeutics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
- Departments of Bioengineering and Chemical and Biomolecular Engineering, School of Engineering and Applied Science, University of Pennsylvania, Philadelphia, PA, USA
- Penn Institute for Computational Science, University of Pennsylvania, Philadelphia, PA, USA
- Portable Chemical Sensors Lab, Department of Analytical Chemistry, Institute of Chemistry, State University of Campinas - UNICAMP, Campinas, Sao Paulo, Brazil
| | - André L. Ferreira
- Machine Biology Group, Departments of Psychiatry and Microbiology, Institute for Biomedical Informatics, Institute for Translational Medicine and Therapeutics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
- Departments of Bioengineering and Chemical and Biomolecular Engineering, School of Engineering and Applied Science, University of Pennsylvania, Philadelphia, PA, USA
- Penn Institute for Computational Science, University of Pennsylvania, Philadelphia, PA, USA
- Portable Chemical Sensors Lab, Department of Analytical Chemistry, Institute of Chemistry, State University of Campinas - UNICAMP, Campinas, Sao Paulo, Brazil
| | - William R. de Araujo
- Portable Chemical Sensors Lab, Department of Analytical Chemistry, Institute of Chemistry, State University of Campinas - UNICAMP, Campinas, Sao Paulo, Brazil
| | - Paul Callahan
- Penn Acute Research Collaboration, Department of Emergency Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Antonio Dávila
- Penn Acute Research Collaboration, Department of Emergency Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Benjamin S. Abella
- Penn Acute Research Collaboration, Department of Emergency Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Cesar de la Fuente-Nunez
- Machine Biology Group, Departments of Psychiatry and Microbiology, Institute for Biomedical Informatics, Institute for Translational Medicine and Therapeutics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
- Departments of Bioengineering and Chemical and Biomolecular Engineering, School of Engineering and Applied Science, University of Pennsylvania, Philadelphia, PA, USA
- Penn Institute for Computational Science, University of Pennsylvania, Philadelphia, PA, USA
- Corresponding author
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Hart CR, McLendon PM, Naik RR. Dealing with a Pandemic: Emerging Tools, Solutions, and Challenges. Health Secur 2022; 20:109-115. [PMID: 35021893 DOI: 10.1089/hs.2021.0145] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/12/2022] Open
Abstract
As a result of the COVID-19 pandemic, nations across the globe have responded by attempting to understand how the virus was spreading in their communities, in order to isolate cases, reduce morbidity and mortality, and avoid overwhelming healthcare facilities. In this article, we describe the global response to tracking the virus, and discuss new technological advances in molecular testing that have been deployed and developed to track and mitigate COVID-19. We also discuss how the successes and failures observed in the COVID-19 pandemic can be extrapolated to improve our ability to respond to the next pandemic.
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Affiliation(s)
- Corey R Hart
- Corey R. Hart, PhD, is a Senior Physiologist/Technical Integration Manager and Rajesh R. Naik, PhD, is Chief Scientist; both in the 711th Human Performance Wing, Air Force Research Laboratory, Wright-Patterson Air Force Base, OH. Patrick M. McLendon, PhD, is a Senior Scientist/Senior Technical Program Manager, Integrative Health and Performance Sciences Division, UES, Inc., Dayton, OH. The views expressed are those of the authors and do not reflect the official guidance or position of the United States Government, the Department of Defense or of the United States Air Force
| | - Patrick M McLendon
- Corey R. Hart, PhD, is a Senior Physiologist/Technical Integration Manager and Rajesh R. Naik, PhD, is Chief Scientist; both in the 711th Human Performance Wing, Air Force Research Laboratory, Wright-Patterson Air Force Base, OH. Patrick M. McLendon, PhD, is a Senior Scientist/Senior Technical Program Manager, Integrative Health and Performance Sciences Division, UES, Inc., Dayton, OH. The views expressed are those of the authors and do not reflect the official guidance or position of the United States Government, the Department of Defense or of the United States Air Force
| | - Rajesh R Naik
- Corey R. Hart, PhD, is a Senior Physiologist/Technical Integration Manager and Rajesh R. Naik, PhD, is Chief Scientist; both in the 711th Human Performance Wing, Air Force Research Laboratory, Wright-Patterson Air Force Base, OH. Patrick M. McLendon, PhD, is a Senior Scientist/Senior Technical Program Manager, Integrative Health and Performance Sciences Division, UES, Inc., Dayton, OH. The views expressed are those of the authors and do not reflect the official guidance or position of the United States Government, the Department of Defense or of the United States Air Force
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