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Highly sensitive and ultra-rapid antigen-based detection of SARS-CoV-2 using nanomechanical sensor platform.
Agarwal, Dilip Kumar; Nandwana, Vikas; Henrich, Stephen E; Josyula, Vara Prasad V N; Thaxton, C Shad; Qi, Chao; Simons, Lacy M; Hultquist, Judd F; Ozer, Egon A; Shekhawat, Gajendra S; Dravid, Vinayak P.
  • Agarwal DK; Department of Material Science and Engineering and NUANCE Center, Northwestern University, Evanston, IL, 60208, USA.
  • Nandwana V; Department of Material Science and Engineering and NUANCE Center, Northwestern University, Evanston, IL, 60208, USA.
  • Henrich SE; Department of Urology, Feinberg School of Medicine, Northwestern University, Chicago, IL, 60611, USA.
  • Josyula VPVN; Cleveland Clinic, Lerner Research Institute, Cleveland, OH, 44195, USA.
  • Thaxton CS; Department of Urology, Feinberg School of Medicine, Northwestern University, Chicago, IL, 60611, USA.
  • Qi C; Department of Pathology, Feinberg School of Medicine, Northwestern University, Chicago, IL, 60611, USA.
  • Simons LM; Department of Medicine, Division of Infectious Diseases, Northwestern University Feinberg School of Medicine, Chicago, IL, 60611, USA; Center for Pathogen Genomics and Microbial Evolution, Institute for Global Health, Northwestern University Feinberg School of Medicine, Chicago, IL, 60611, USA.
  • Hultquist JF; Department of Medicine, Division of Infectious Diseases, Northwestern University Feinberg School of Medicine, Chicago, IL, 60611, USA; Center for Pathogen Genomics and Microbial Evolution, Institute for Global Health, Northwestern University Feinberg School of Medicine, Chicago, IL, 60611, USA.
  • Ozer EA; Department of Medicine, Division of Infectious Diseases, Northwestern University Feinberg School of Medicine, Chicago, IL, 60611, USA; Center for Pathogen Genomics and Microbial Evolution, Institute for Global Health, Northwestern University Feinberg School of Medicine, Chicago, IL, 60611, USA.
  • Shekhawat GS; Department of Material Science and Engineering and NUANCE Center, Northwestern University, Evanston, IL, 60208, USA. Electronic address: g-shekhawat@northwestern.edu.
  • Dravid VP; Department of Material Science and Engineering and NUANCE Center, Northwestern University, Evanston, IL, 60208, USA. Electronic address: v-dravid@northwestern.edu.
Biosens Bioelectron ; 195: 113647, 2022 Jan 01.
Article in English | MEDLINE | ID: covidwho-1415225
ABSTRACT
The rapid spread of COVID-19 including recent emergence of new variants with its extreme range of pathologies create an urgent need to develop a versatile sensor for a rapid, precise, and highly sensitive detection of SARS-CoV-2. Herein, we report a microcantilever-based optical detection of SARS-CoV-2 antigenic proteins in just few minutes with high specificity by employing fluidic-atomic force microscopy (f-AFM) mediated nanomechanical deflection method. The corresponding antibodies against the target antigens were first grafted on the gold-coated microcantilever surface pre-functionalized with EDC-NHS chemistry for a suitable antibody-antigen interaction. Rapid detection of SARS-CoV-2 nucleocapsid (N) and spike (S1) receptor binding domain (RBD) proteins was first demonstrated at a clinically relevant concentration down to 1 ng/mL (33 pM) by real-time monitoring of nanomechanical signal induced by antibody-antigen interaction. More importantly, we further show high specific detection of antigens with nasopharyngeal swab specimens from patients pre-determined with qRT-PCR. The results take less than 5 min (swab to signal ≤5 min) and exhibit high selectivity and analytical sensitivity (LoD 100 copies/ ml; 0.71 ng/ml of N protein). These findings demonstrate potential for nanomechanical signal transduction towards rapid antigen detection for early screening of SARS-CoV-2 and its related mutants.
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Full text: Available Collection: International databases Database: MEDLINE Main subject: Biosensing Techniques / COVID-19 Type of study: Diagnostic study / Prognostic study Topics: Variants Limits: Humans Language: English Journal: Biosens Bioelectron Journal subject: Biotechnology Year: 2022 Document Type: Article Affiliation country: J.bios.2021.113647

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Full text: Available Collection: International databases Database: MEDLINE Main subject: Biosensing Techniques / COVID-19 Type of study: Diagnostic study / Prognostic study Topics: Variants Limits: Humans Language: English Journal: Biosens Bioelectron Journal subject: Biotechnology Year: 2022 Document Type: Article Affiliation country: J.bios.2021.113647