Evidence map›Paper›PMID 34491043›Full record

ArticleACS sensors2021

Catching COVID: Engineering Peptide-Modified Surface-Enhanced Raman Spectroscopy Sensors for SARS-CoV-2.

Taylor D Payne, Stephen J Klawa, Tengyue Jian, Sang Hoon Kim, Micah J Papanikolas, Ronit Freeman, Zachary D Schultz

Open access · greenAbstract read
In one paragraph

Article in ACS sensors, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers.

0numbers the graph read from it
0cells of the map it votes in
26citing papers in PubMed
4.1field-weighted citation impact, top 5% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

26 citing papers in PubMed, 59 citations in OpenAlex.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors at 2 institutions in 1 country.

Taylor D PayneDepartment of Chemistry and Biochemistry, The Ohio State University, Columbus, Ohio 43210, United States.
Stephen J KlawaDepartment of Applied Physical Sciences, University of North Carolina, Chapel Hill, North Carolina 27599, United States.ORCID 0000-0003-2416-7721
Tengyue JianDepartment of Applied Physical Sciences, University of North Carolina, Chapel Hill, North Carolina 27599, United States.ORCID 0000-0002-4463-5492
Sang Hoon KimDepartment of Applied Physical Sciences, University of North Carolina, Chapel Hill, North Carolina 27599, United States.
Micah J PapanikolasDepartment of Applied Physical Sciences, University of North Carolina, Chapel Hill, North Carolina 27599, United States.ORCID 0000-0003-3149-312X
Ronit FreemanDepartment of Applied Physical Sciences, University of North Carolina, Chapel Hill, North Carolina 27599, United States.ORCID 0000-0001-5960-6689
Zachary D SchultzDepartment of Chemistry and Biochemistry, The Ohio State University, Columbus, Ohio 43210, United States.ORCID 0000-0003-1741-8801
Applied Physical Sciences (United States) · USThe Ohio State University · US

Funding

Virology Research Program (Program 4)P30CA016086 · NCI · UNIV OF NORTH CAROLINA CHAPEL HILL · PI David Darr · 1985 to 2026
$201.5M
Translational Therapeutics Research Program (TT)P30CA016058 · NCI · OHIO STATE UNIVERSITY · PI Jennifer A. Woyach · 1985 to 2026
$132.3M
NCI NIH HHS P30 CA016058NCI NIH HHS P30 CA016086
6 · The paper itself

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.

Indexed as

Biosensing TechniquesCOVID-19HumansPeptidesSARS-CoV-2Spectrum Analysis, RamanPeptidesbiomimeticbiosensorCOVID-19peptideSARS-CoV-2SERSvirus

Identifiers

PMID34491043
PMCPMC8442610
OpenAlexW3198404481

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.