Silver Nanoparticle Sensor Array for the Detection of SARS-CoV-2
Source abstract
Abstract
We report a silver nanoparticle (AgNP) sensor array to detect SARS-CoV-2 viral particles utilizing five peptide receptors to produce a colorimetric response. We show that the interaction of the virus particles with the peptides interferes with the shift in plasmonic absorbance and hinders the formation of snowflake-like fractal assemblies between the AgNPs and the bridging peptides. The limit of detection in water of the sensor array was 500,000 viral copies/mL. We demonstrate the capabilities of the sensor array to distinguish between SARS-CoV-2 (Beta, Delta, and Omicron variants) from the influenza virus at the 99% confidence level through linear discriminant analysis. The sensor array was also able to discriminate three out of five negative exhaled breath condensate samples from five positive SARS-CoV-2 EBC samples.
Source: openalex_inverted_index · Quality: baseline
Research context
OpenAlex topics: SARS-CoV-2 detection and testing · Biosensors and Analytical Detection · Advanced biosensing and bioanalysis techniques
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
Affiliations
Department of Nano and Chemical Engineering, University of California San Diego, La Jolla, California 92093, United States
Department of Medicine, University of California San Diego, La Jolla, California 92093, United States
Department of Pathology, University of California San Diego, La Jolla ,California 92093, United States
Materials Science and Engineering Program, University of California San Diego, La Jolla ,California 92093, United States
Department of Radiology, University of California San Diego, La Jolla ,California 92093, United States
Funding
NIH Office of the Director · National Institute of Dental and Craniofacial Research · U.S. National Library of Medicine · Burroughs Wellcome Fund · Materials Research Science and Engineering Center, University of California, San Diego
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