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Park C, Jang J, Jang J. Airborne Influenza Virus Surveillance Platform Using Paper-Based Immunosensors and a Growth-Based Virus Aerosol Concentrator. ENVIRONMENTAL SCIENCE & TECHNOLOGY 2025; 59:6502-6511. [PMID: 40159124 DOI: 10.1021/acs.est.4c14065] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 04/02/2025]
Abstract
The measurement of respiratory viruses in indoor air is critical for effectively preventing the spread of diseases. This is typically accomplished by counting the nucleic acids or plaques of air-sampled viruses. Herein, we present a growth-based airborne virus surveillance (G-AVS) platform based on paper-based electrochemical immunosensors for targeting hemagglutinin (HA) and nucleoprotein (NP), and water-condensation air sampling for the quantitative measurement of airborne influenza viruses. The measurements, compared with RT-qPCR, demonstrated consistency between the two. In the measurements of airborne influenza viruses conducted in an elementary school using G-AVS, 23% (4/17) of indoor air samples were positive, with concentrations ranging from 1.7 × 104 to 1.6 × 106 gene copies/m3, while losses in the HA relative to NP were 48-75% at a relative humidity of 27.0-36.8% and 60 min air sampling, similar to infectivities reported in the literature. This platform has the potential for rapid and cost-effective airborne virus measurement.
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Affiliation(s)
- Chanhwi Park
- Department of Biomedical Engineering, Ulsan National Institute of Science and Technology (UNIST), Ulsan 44919, Republic of Korea
| | - Junbeom Jang
- Department of Mechanical Engineering, UNIST, Ulsan 44919, Republic of Korea
| | - Jaesung Jang
- Department of Biomedical Engineering, Ulsan National Institute of Science and Technology (UNIST), Ulsan 44919, Republic of Korea
- Department of Mechanical Engineering, UNIST, Ulsan 44919, Republic of Korea
- Department of Civil, Urban, Earth, and Environmental Engineering, UNIST, Ulsan 44919, Republic of Korea
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Nagy A, Czitrovszky A, Lehoczki A, Farkas Á, Füri P, Osán J, Groma V, Kugler S, Micsinai A, Horváth A, Ungvári Z, Müller V. Creating respiratory pathogen-free environments in healthcare and nursing-care settings: a comprehensive review. GeroScience 2025; 47:543-571. [PMID: 39392557 PMCID: PMC11872867 DOI: 10.1007/s11357-024-01379-7] [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: 08/02/2024] [Accepted: 10/03/2024] [Indexed: 10/12/2024] Open
Abstract
Hospital- and nursing-care-acquired infections are a growing problem worldwide, especially during epidemics, posing a significant threat to older adults in geriatric settings. Intense research during the COVID-19 pandemic highlighted the prominent role of aerosol transmission of pathogens. Aerosol particles can easily adsorb different airborne pathogens, carrying them for a long time. Understanding the dynamics of airborne pathogen transmission is essential for controlling the spread of many well-known pathogens, like the influenza virus, and emerging ones like SARS-CoV-2. Particles smaller than 50 to 100 µm remain airborne and significantly contribute to pathogen transmission. This review explores the journey of pathogen-carrying particles from formation in the airways, through airborne travel, to deposition in the lungs. The physicochemical properties of emitted particles depend on health status and emission modes, such as breathing, speaking, singing, coughing, sneezing, playing wind instruments, and medical interventions. After emission, sedimentation and evaporation primarily determine particle fate. Lung deposition of inhaled aerosol particles can be studied through in vivo, in vitro, or in silico methods. We discuss several numerical lung models, such as the Human Respiratory Tract Model, the LUng Dose Evaluation Program software (LUDEP), the Stochastic Lung Model, and the Computational Fluid Dynamics (CFD) techniques, and real-time or post-evaluation methods for detecting and characterizing these particles. Various air purification methods, particularly filtration, are reviewed for their effectiveness in healthcare settings. In the discussion, we analyze how this knowledge can help create environments with reduced PM2.5 and pathogen levels, enhancing safety in healthcare and nursing-care settings. This is particularly crucial for protecting older adults, who are more vulnerable to infections due to weaker immune systems and the higher prevalence of chronic conditions. By implementing effective airborne pathogen control measures, we can significantly improve health outcomes in geriatric settings.
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Affiliation(s)
- Attila Nagy
- Department of Applied and Nonlinear Optics, HUN-REN Wigner Research Centre for Physics, Konkoly-Thege Miklós St. 29-33, 1121, Budapest, Hungary.
| | - Aladár Czitrovszky
- Department of Applied and Nonlinear Optics, HUN-REN Wigner Research Centre for Physics, Konkoly-Thege Miklós St. 29-33, 1121, Budapest, Hungary
| | - Andrea Lehoczki
- Doctoral College, Health Sciences Program, Semmelweis University, Budapest, Hungary
- Institute of Preventive Medicine and Public Health, Semmelweis University, Budapest, Hungary
| | - Árpád Farkas
- Environmental Physics Department, HUN-REN Centre for Energy Research, Budapest, Hungary
| | - Péter Füri
- Environmental Physics Department, HUN-REN Centre for Energy Research, Budapest, Hungary
| | - János Osán
- Environmental Physics Department, HUN-REN Centre for Energy Research, Budapest, Hungary
| | - Veronika Groma
- Environmental Physics Department, HUN-REN Centre for Energy Research, Budapest, Hungary
| | - Szilvia Kugler
- Environmental Physics Department, HUN-REN Centre for Energy Research, Budapest, Hungary
| | | | - Alpár Horváth
- Department of Pulmonology, Semmelweis University, Budapest, Hungary
| | - Zoltán Ungvári
- Vascular Cognitive Impairment and Neurodegeneration Program, Oklahoma Center for Geroscience and Healthy Brain Aging, Department of Biochemistry & Molecular Biology, University of Oklahoma Health Sciences Center, Oklahoma City, OK, 731042, USA
- Peggy and Charles Stephenson Cancer Center, Oklahoma City, OK, 73104, USA
- Department of Health Promotion Sciences, College of Public Health, University of Oklahoma Health Sciences Center, Oklahoma City, OK, USA
- International Training Program in Geroscience, Doctoral School of Basic and Translational Medicine/Institute of Preventive Medicine and Public Health, Semmelweis University, Budapest, Hungary
| | - Veronika Müller
- Department of Pulmonology, Semmelweis University, Budapest, Hungary
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Liu L, Wang D, Luo Y, Liu Y, Guo Y, Yang GZ, Qiu G. Intraoperative assessment of microimplantation-induced acute brain inflammation with titanium oxynitride-based plasmonic biosensor. Biosens Bioelectron 2024; 264:116664. [PMID: 39159588 DOI: 10.1016/j.bios.2024.116664] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/21/2024] [Revised: 07/11/2024] [Accepted: 08/10/2024] [Indexed: 08/21/2024]
Abstract
Implantable devices for brain-machine interfaces and managing neurological disorders have experienced rapid growth in recent years. Although functional implants offer significant benefits, issues related to transient trauma and long-term biocompatibility and safety are of significant concern. Acute inflammatory reaction in the brain tissue caused by microimplants is known to be an issue but remains poorly studied. This study presents the use of titanium oxynitride (TiNO) nanofilm with defined surface plasmon resonance (SPR) properties for point-of-care characterizing of acute inflammatory responses during robot-controlled micro-neuro-implantation. By leveraging surface-enriched oxynitride, TiNO nanofilms can be biomolecular-functionalized through silanization. This label-free TiNO-SPR biosensor exhibits a high sensitivity toward the inflammatory cytokine interleukin-6 with a detection limit down to 6.3 fg ml-1 and a short assay time of 25 min. Additionally, intraoperative monitoring of acute inflammatory responses during microelectrode implantation in the mice brain has been accomplished using the TiNO-SPR biosensors. Through intraoperative cerebrospinal fluid sampling and point-of-care plasmonic biosensing, the rhythm of acute inflammatory responses induced by the robot-controlled brain microelectrodes implantation has been successfully depicted, offering insights into intraoperative safety assessment of invasive brain-machine interfaces.
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Affiliation(s)
- Linlin Liu
- Institute of Medical Robotics, School of Biomedical Engineering, Shanghai Jiao Tong University, 800 Dong Chuan Road, Shanghai, 200240, PR China
| | - Danhua Wang
- Institute of Medical Robotics, School of Biomedical Engineering, Shanghai Jiao Tong University, 800 Dong Chuan Road, Shanghai, 200240, PR China
| | - Yating Luo
- Institute of Medical Robotics, School of Biomedical Engineering, Shanghai Jiao Tong University, 800 Dong Chuan Road, Shanghai, 200240, PR China
| | - Yuxuan Liu
- Institute of Medical Robotics, School of Biomedical Engineering, Shanghai Jiao Tong University, 800 Dong Chuan Road, Shanghai, 200240, PR China
| | - Yao Guo
- Institute of Medical Robotics, School of Biomedical Engineering, Shanghai Jiao Tong University, 800 Dong Chuan Road, Shanghai, 200240, PR China
| | - Guang-Zhong Yang
- Institute of Medical Robotics, School of Biomedical Engineering, Shanghai Jiao Tong University, 800 Dong Chuan Road, Shanghai, 200240, PR China.
| | - Guangyu Qiu
- Institute of Medical Robotics, School of Biomedical Engineering, Shanghai Jiao Tong University, 800 Dong Chuan Road, Shanghai, 200240, PR China.
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Geisler SM, Lausch KH, Hehnen F, Schulz I, Kertzscher U, Kriegel M, Paschereit CO, Schimek S, Hasirci Ü, Brockmann G, Moter A, Senftleben K, Moritz S. Comparing strategies for the mitigation of SARS-CoV-2 airborne infection risk in tiered auditorium venues. COMMUNICATIONS ENGINEERING 2024; 3:161. [PMID: 39521872 PMCID: PMC11550442 DOI: 10.1038/s44172-024-00297-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/24/2023] [Accepted: 10/15/2024] [Indexed: 11/16/2024]
Abstract
The COVID-19 pandemic demonstrated that reliable risk assessment of venues is still challenging and resulted in the indiscriminate closure of many venues worldwide. Therefore, this study used an experimental, numerical and analytical approach to investigate the airborne transmission risk potential of differently ventilated, sized and shaped venues. The data were used to assess the magnitude of effect of various mitigation measures and to develop recommendations. Here we show that, in general, positions in the near field of an emission source were at high risk, while the risk of infection from positions in the far field varied depending on the ventilation strategy. Occupancy, airflow rate, residence time, virus variants, activity level and face masks affected the individual and global infection risk in all venues. The global infection risk was lowest for the displacement ventilation case, making it the most effective ventilation strategy for keeping airborne transmission and the number of secondary cases low, compared to mixing or natural ventilation.
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Affiliation(s)
- S Mareike Geisler
- Section of Clinical Infectious Diseases, University Hospital Halle (Saale), Ernst-Grube Str. 40, 06120, Halle (Saale), Germany.
| | - Kevin H Lausch
- Institute of Energy Technology, Department Energy, Comfort and Health in Buildings, Technical University of Berlin, Marchstraße 4, 10587, Berlin, Germany
| | - Felix Hehnen
- Biofluid Mechanics Laboratory, Institute of Computer-assisted Cardiovascular Medicine, Deutsches Herzzentrum der Charité, Augustenburger Platz 1, 13353, Berlin, Germany
- Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Charitéplatz 1, 10117, Berlin, Germany
| | - Isabell Schulz
- Biofluid Mechanics Laboratory, Institute of Computer-assisted Cardiovascular Medicine, Deutsches Herzzentrum der Charité, Augustenburger Platz 1, 13353, Berlin, Germany
- Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Charitéplatz 1, 10117, Berlin, Germany
| | - Ulrich Kertzscher
- Biofluid Mechanics Laboratory, Institute of Computer-assisted Cardiovascular Medicine, Deutsches Herzzentrum der Charité, Augustenburger Platz 1, 13353, Berlin, Germany
- Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Charitéplatz 1, 10117, Berlin, Germany
| | - Martin Kriegel
- Institute of Energy Technology, Department Energy, Comfort and Health in Buildings, Technical University of Berlin, Marchstraße 4, 10587, Berlin, Germany
| | - C Oliver Paschereit
- Institute of Fluid Dynamics and Technical Acoustics, Hermann-Föttinger-Institute, Chair of Fluid Dynamics, Technical University of Berlin, Müller-Breslau-Str. 8, 10623, Berlin, Germany
| | - Sebastian Schimek
- Institute of Fluid Dynamics and Technical Acoustics, Hermann-Föttinger-Institute, Chair of Fluid Dynamics, Technical University of Berlin, Müller-Breslau-Str. 8, 10623, Berlin, Germany
| | - Ümit Hasirci
- Biofluid Mechanics Laboratory, Institute of Computer-assisted Cardiovascular Medicine, Deutsches Herzzentrum der Charité, Augustenburger Platz 1, 13353, Berlin, Germany
| | - Gerrid Brockmann
- Institute of Energy Technology, Department Energy, Comfort and Health in Buildings, Technical University of Berlin, Marchstraße 4, 10587, Berlin, Germany
| | - Annette Moter
- Charité - Universitätsmedizin Berlin, Institute of Microbiology, Infectious Diseases and Immunology, Hindenburgdamm 30, 12203, Berlin, Germany
| | - Karolin Senftleben
- Section of Clinical Infectious Diseases, University Hospital Halle (Saale), Ernst-Grube Str. 40, 06120, Halle (Saale), Germany
| | - Stefan Moritz
- Section of Clinical Infectious Diseases, University Hospital Halle (Saale), Ernst-Grube Str. 40, 06120, Halle (Saale), Germany.
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Liu W, Chung K, Yu S, Lee LP. Nanoplasmonic biosensors for environmental sustainability and human health. Chem Soc Rev 2024; 53:10491-10522. [PMID: 39192761 DOI: 10.1039/d3cs00941f] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 08/29/2024]
Abstract
Monitoring the health conditions of the environment and humans is essential for ensuring human well-being, promoting global health, and achieving sustainability. Innovative biosensors are crucial in accurately monitoring health conditions, uncovering the hidden connections between the environment and human well-being, and understanding how environmental factors trigger autoimmune diseases, neurodegenerative diseases, and infectious diseases. This review evaluates the use of nanoplasmonic biosensors that can monitor environmental health and human diseases according to target analytes of different sizes and scales, providing valuable insights for preventive medicine. We begin by explaining the fundamental principles and mechanisms of nanoplasmonic biosensors. We investigate the potential of nanoplasmonic techniques for detecting various biological molecules, extracellular vesicles (EVs), pathogens, and cells. We also explore the possibility of wearable nanoplasmonic biosensors to monitor the physiological network and healthy connectivity of humans, animals, plants, and organisms. This review will guide the design of next-generation nanoplasmonic biosensors to advance sustainable global healthcare for humans, the environment, and the planet.
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Affiliation(s)
- Wenpeng Liu
- Department of Medicine, Brigham Women's Hospital, Harvard Medical School, Harvard University, Boston, MA 02115, USA.
| | - Kyungwha Chung
- Department of Medicine, Brigham Women's Hospital, Harvard Medical School, Harvard University, Boston, MA 02115, USA.
- Department of Biophysics, Institute of Quantum Biophysics, Sungkyunkwan University, Suwon 16419, Republic of Korea
| | - Subin Yu
- Department of Medicine, Brigham Women's Hospital, Harvard Medical School, Harvard University, Boston, MA 02115, USA.
| | - Luke P Lee
- Department of Medicine, Brigham Women's Hospital, Harvard Medical School, Harvard University, Boston, MA 02115, USA.
- Department of Bioengineering, Department of Electrical Engineering and Computer Science, University of California at Berkeley, Berkeley, CA 94720, USA
- Department of Biophysics, Institute of Quantum Biophysics, Sungkyunkwan University, Suwon 16419, Republic of Korea
- Department of Chemistry and Nanoscience, Ewha Womans University, Seoul, 03760, Korea
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6
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Wei X, Ma X, Tian F, Wei Z, Zhang L, Hu K. Sampling and analysis methods of air-borne microorganisms in hospital air: a review. Biotechniques 2024; 76:395-404. [PMID: 39263851 DOI: 10.1080/07366205.2024.2372939] [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: 10/20/2023] [Accepted: 06/21/2024] [Indexed: 09/13/2024] Open
Abstract
Pathogenic microorganisms can spread in the air as bioaerosols. When the human body is exposed to different bioaerosols, various infectious diseases may occur. As indoor diagnosis and treatment environments, hospitals are relatively closed and have a large flow rate of people. This indoor environment contains complex aerosol components; therefore, effective sampling and detection of microbial elements are essential in airborne pathogen monitoring. This article reviews the sampling and detection of different kinds of microorganisms in bioaerosols from indoor diagnostic and therapeutic settings, with a particular focus on microbial activity. This provides deeper insights into bioaerosols in diagnostic and therapeutic settings.
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Affiliation(s)
- Xinyan Wei
- Institute of Health Quarantine, Chinese Academy of Inspection & Quarantine, Beijing, China
| | - Xuezheng Ma
- Institute of Health Quarantine, Chinese Academy of Inspection & Quarantine, Beijing, China
| | - Feng Tian
- Xinjiang International Travel Health Care Center (Urumqi Customs Port Clinic), China
| | - Zhaohui Wei
- Institute of Health Quarantine, Chinese Academy of Inspection & Quarantine, Beijing, China
| | - Liping Zhang
- Institute of Health Quarantine, Chinese Academy of Inspection & Quarantine, Beijing, China
| | - Kongxin Hu
- Institute of Health Quarantine, Chinese Academy of Inspection & Quarantine, Beijing, China
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Qiu G, Zhang X, deMello AJ, Yao M, Cao J, Wang J. On-site airborne pathogen detection for infection risk mitigation. Chem Soc Rev 2023; 52:8531-8579. [PMID: 37882143 PMCID: PMC10712221 DOI: 10.1039/d3cs00417a] [Citation(s) in RCA: 8] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/07/2023] [Indexed: 10/27/2023]
Abstract
Human-infecting pathogens that transmit through the air pose a significant threat to public health. As a prominent instance, the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) that caused the COVID-19 pandemic has affected the world in an unprecedented manner over the past few years. Despite the dissipating pandemic gloom, the lessons we have learned in dealing with pathogen-laden aerosols should be thoroughly reviewed because the airborne transmission risk may have been grossly underestimated. From a bioanalytical chemistry perspective, on-site airborne pathogen detection can be an effective non-pharmaceutic intervention (NPI) strategy, with on-site airborne pathogen detection and early-stage infection risk evaluation reducing the spread of disease and enabling life-saving decisions to be made. In light of this, we summarize the recent advances in highly efficient pathogen-laden aerosol sampling approaches, bioanalytical sensing technologies, and the prospects for airborne pathogen exposure measurement and evidence-based transmission interventions. We also discuss open challenges facing general bioaerosols detection, such as handling complex aerosol samples, improving sensitivity for airborne pathogen quantification, and establishing a risk assessment system with high spatiotemporal resolution for mitigating airborne transmission risks. This review provides a multidisciplinary outlook for future opportunities to improve the on-site airborne pathogen detection techniques, thereby enhancing the preparedness for more on-site bioaerosols measurement scenarios, such as monitoring high-risk pathogens on airplanes, weaponized pathogen aerosols, influenza variants at the workplace, and pollutant correlated with sick building syndromes.
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Affiliation(s)
- Guangyu Qiu
- Institute of Medical Robotics, School of Biomedical Engineering, Shanghai Jiao Tong University, Shanghai 200240, China.
- Institute of Environmental Engineering, ETH Zürich, Zürich 8093, Switzerland
- Laboratory for Advanced Analytical Technologies, Empa, Swiss Federal Laboratories for Materials Science and Technology, Dübendorf 8600, Switzerland
| | - Xiaole Zhang
- Institute of Environmental Engineering, ETH Zürich, Zürich 8093, Switzerland
- Laboratory for Advanced Analytical Technologies, Empa, Swiss Federal Laboratories for Materials Science and Technology, Dübendorf 8600, Switzerland
| | - Andrew J deMello
- Institute for Chemical and Bioengineering, Department of Chemistry and Applied Biosciences, ETH Zürich, Vladimir-Prelog-Weg1, Zürich, Switzerland
| | - Maosheng Yao
- State Key Joint Laboratory of Environmental Simulation and Pollution Control, College of Environmental Sciences and Engineering, Peking University, China
| | - Junji Cao
- Institute of Atmospheric Physics, Chinese Academy of Science, China
| | - Jing Wang
- Institute of Environmental Engineering, ETH Zürich, Zürich 8093, Switzerland
- Laboratory for Advanced Analytical Technologies, Empa, Swiss Federal Laboratories for Materials Science and Technology, Dübendorf 8600, Switzerland
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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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