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Catching COVID: Engineering Peptide-Modified Surface-Enhanced Raman Spectroscopy Sensors for SARS-CoV-2.
Payne, Taylor D; Klawa, Stephen J; Jian, Tengyue; Kim, Sang Hoon; Papanikolas, Micah J; Freeman, Ronit; Schultz, Zachary D.
  • Payne TD; Department of Chemistry and Biochemistry, The Ohio State University, Columbus, Ohio 43210, United States.
  • Klawa SJ; Department of Applied Physical Sciences, University of North Carolina, Chapel Hill, North Carolina 27599, United States.
  • Jian T; Department of Applied Physical Sciences, University of North Carolina, Chapel Hill, North Carolina 27599, United States.
  • Kim SH; Department of Applied Physical Sciences, University of North Carolina, Chapel Hill, North Carolina 27599, United States.
  • Papanikolas MJ; Department of Applied Physical Sciences, University of North Carolina, Chapel Hill, North Carolina 27599, United States.
  • Freeman R; Department of Applied Physical Sciences, University of North Carolina, Chapel Hill, North Carolina 27599, United States.
  • Schultz ZD; Department of Chemistry and Biochemistry, The Ohio State University, Columbus, Ohio 43210, United States.
ACS Sens ; 6(9): 3436-3444, 2021 09 24.
Article in English | MEDLINE | ID: covidwho-1397836
ABSTRACT
COVID-19 remains an ongoing issue across the globe, highlighting the need for a rapid, selective, and accurate sensor for SARS-CoV-2 and its emerging variants. The chemical specificity and signal amplification of surface-enhanced Raman spectroscopy (SERS) could be advantageous for developing a quantitative assay for SARS-CoV-2 with improved speed and accuracy over current testing methods. Here, we have tackled the challenges associated with SERS detection of viruses. As viruses are large, multicomponent species, they can yield different SERS signals, but also other abundant biomolecules present in the sample can generate undesired signals. To improve selectivity in complex biological environments, we have employed peptides as capture probes for viral proteins and developed an angiotensin-converting enzyme 2 (ACE2) mimetic peptide-based SERS sensor for SARS-CoV-2. The unique vibrational signature of the spike protein bound to the peptide-modified surface is identified and used to construct a multivariate calibration model for quantification. The sensor demonstrates a 300 nM limit of detection and high selectivity in the presence of excess bovine serum albumin. This work provides the basis for designing a SERS-based assay for the detection of SARS-CoV-2 as well as engineering SERS biosensors for other viruses in the future.
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Full text: Available Collection: International databases Database: MEDLINE Main subject: Biosensing Techniques / COVID-19 Type of study: Diagnostic study Topics: Variants Limits: Humans Language: English Journal: ACS Sens Year: 2021 Document Type: Article Affiliation country: Acssensors.1c01344

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Full text: Available Collection: International databases Database: MEDLINE Main subject: Biosensing Techniques / COVID-19 Type of study: Diagnostic study Topics: Variants Limits: Humans Language: English Journal: ACS Sens Year: 2021 Document Type: Article Affiliation country: Acssensors.1c01344