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Multiplexed COVID-19 antibody quantification from human sera using label-free nanoplasmonic biosensors.
Adi, Wihan; Biswas, Dhruv; Shelef, Miriam A; Yesilkoy, Filiz.
  • Adi W; Department of Biomedical Engineering, University of Wisconsin-Madison, Madison, WI 53706, USA.
  • Biswas D; Department of Biomedical Engineering, University of Wisconsin-Madison, Madison, WI 53706, USA.
  • Shelef MA; Department of Medicine, University of Wisconsin-Madison, Madison, WI 53705, USA.
  • Yesilkoy F; William S. Middleton Memorial Veterans Hospital, Madison, WI 53705, USA.
Biomed Opt Express ; 13(4): 2130-2143, 2022 Apr 01.
Article in English | MEDLINE | ID: covidwho-1770630
ABSTRACT
Serological assays that can reveal immune status against COVID-19 play a critical role in informing individual and public healthcare decisions. Currently, antibody tests are performed in central clinical laboratories, limiting broad access to diverse populations. Here we report a multiplexed and label-free nanoplasmonic biosensor that can be deployed for point-of-care antibody profiling. Our optical imaging-based approach can simultaneously quantify antigen-specific antibody response against SARS-CoV-2 spike and nucleocapsid proteins from 50 µL of human sera. To enhance the dynamic range, we employed multivariate data processing and multi-color imaging and achieved a quantification range of 0.1-100 µg/mL. We measured sera from a COVID-19 acute and convalescent (N = 24) patient cohort and negative controls (N = 5) and showed highly sensitive and specific past-infection diagnosis. Our results were benchmarked against an electrochemiluminescence assay and showed good concordance (R∼0.87). Our integrated nanoplasmonic biosensor has the potential to be used in epidemiological sero-profiling and vaccine studies.

Full text: Available Collection: International databases Database: MEDLINE Type of study: Cohort study / Diagnostic study / Observational study / Prognostic study Topics: Vaccines Language: English Journal: Biomed Opt Express Year: 2022 Document Type: Article Affiliation country: BOE.454919

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Full text: Available Collection: International databases Database: MEDLINE Type of study: Cohort study / Diagnostic study / Observational study / Prognostic study Topics: Vaccines Language: English Journal: Biomed Opt Express Year: 2022 Document Type: Article Affiliation country: BOE.454919