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CoVSense: Ultrasensitive Nucleocapsid Antigen Immunosensor for Rapid Clinical Detection of Wildtype and Variant SARS-CoV-2.
Salahandish, Razieh; Hyun, Jae Eun; Haghayegh, Fatemeh; Tabrizi, Hamed Osouli; Moossavi, Shirin; Khetani, Sultan; Ayala-Charca, Giancarlo; Berenger, Byron M; Niu, Yan Dong; Ghafar-Zadeh, Ebrahim; Nezhad, Amir Sanati.
  • Salahandish R; BioMEMS and Bioinspired Microfluidic Laboratory, Department of Biomedical Engineering, University of Calgary, Calgary, AB, T2N 1N4, Canada.
  • Hyun JE; Department of Mechanical and Manufacturing Engineering, University of Calgary, Calgary, AB, T2N 1N4, Canada.
  • Haghayegh F; Laboratory of Advanced Biotechnologies for Health Assessments (LAB-HA), Department of Electrical Engineering and Computer Science, Lassonde School of Engineering, York University, Toronto, M3J 1P3, Canada.
  • Tabrizi HO; Department of Ecosystem and Public Health, Faculty of Veterinary Medicine, University of Calgary, Calgary, AB, T2N 1N4, Canada.
  • Moossavi S; BioMEMS and Bioinspired Microfluidic Laboratory, Department of Biomedical Engineering, University of Calgary, Calgary, AB, T2N 1N4, Canada.
  • Khetani S; Department of Mechanical and Manufacturing Engineering, University of Calgary, Calgary, AB, T2N 1N4, Canada.
  • Ayala-Charca G; Biologically Inspired Sensors and Actuators (BioSA), Department of Electrical Engineering and Computer Science, Lassonde School of Engineering, York University, Toronto, M3J 1P3, Canada.
  • Berenger BM; BioMEMS and Bioinspired Microfluidic Laboratory, Department of Biomedical Engineering, University of Calgary, Calgary, AB, T2N 1N4, Canada.
  • Niu YD; Department of Physiology and Pharmacology, University of Calgary, Calgary, AB, T2N 1N4, Canada.
  • Ghafar-Zadeh E; International Microbiome Centre, Cumming School of Medicine, Health Sciences Centre, University of Calgary, Calgary, AB, T2N 1N4, Canada.
  • Nezhad AS; BioMEMS and Bioinspired Microfluidic Laboratory, Department of Biomedical Engineering, University of Calgary, Calgary, AB, T2N 1N4, Canada.
Adv Sci (Weinh) ; 10(15): e2206615, 2023 05.
Article in English | MEDLINE | ID: covidwho-2279406
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 (PEDOTPSS) 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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Full text: Available Collection: International databases Database: MEDLINE Main subject: SARS-CoV-2 / COVID-19 Type of study: Cohort study / Diagnostic study / Observational study / Prognostic study Topics: Variants Limits: Humans Language: English Journal: Adv Sci (Weinh) Year: 2023 Document Type: Article Affiliation country: Advs.202206615

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Full text: Available Collection: International databases Database: MEDLINE Main subject: SARS-CoV-2 / COVID-19 Type of study: Cohort study / Diagnostic study / Observational study / Prognostic study Topics: Variants Limits: Humans Language: English Journal: Adv Sci (Weinh) Year: 2023 Document Type: Article Affiliation country: Advs.202206615