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Catching COVID: Engineering Peptide-Modified Surface-Enhanced Raman Spectroscopy Sensors for SARS-CoV-2
- Source :
- ACS Sensors
- Publication Year :
- 2021
- Publisher :
- American Chemical Society, 2021.
-
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.
- Subjects :
- Bioengineering
Peptide
Nanotechnology
virus
Biosensing Techniques
biosensor
Spectrum Analysis, Raman
Article
symbols.namesake
Chemical specificity
Humans
Bovine serum albumin
Instrumentation
Fluid Flow and Transfer Processes
chemistry.chemical_classification
Detection limit
biology
SERS
SARS-CoV-2
Process Chemistry and Technology
Biomolecule
COVID-19
Surface-enhanced Raman spectroscopy
biomimetic
peptide
chemistry
biology.protein
symbols
Raman spectroscopy
Peptides
Biosensor
Subjects
Details
- Language :
- English
- ISSN :
- 23793694
- Database :
- OpenAIRE
- Journal :
- ACS Sensors
- Accession number :
- edsair.doi.dedup.....f9812571af9798545654e320d55c07ad