Evidence map›Paper›PMID 38471066›Full record

ArticleAnalytical chemistry2024

Dual-Modal Colorimetric and Surface-Enhanced Raman Scattering (SERS)-Based Lateral Flow Immunoassay for Ultrasensitive Detection of SARS-CoV-2 Using a Plasmonic Gold Nanocrown.

Supriya Atta, Yuanhao Zhao, Joy Qiaoyi Li, Tuan Vo-Dinh

Abstract read
In one paragraph

Article in Analytical chemistry, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed
10.7field-weighted citation impact, top 1% 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

18 citing papers in PubMed, 58 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

4 authors at 1 institution in 1 country.

Supriya AttaFitzpatrick Institute for Photonics, Duke University, Durham, North Carolina 27708, United States.ORCID 0000-0001-5489-268X
Yuanhao ZhaoFitzpatrick Institute for Photonics, Duke University, Durham, North Carolina 27708, United States.
Joy Qiaoyi LiFitzpatrick Institute for Photonics, Duke University, Durham, North Carolina 27708, United States.
Tuan Vo-DinhFitzpatrick Institute for Photonics, Duke University, Durham, North Carolina 27708, United States.ORCID 0000-0003-3701-3326
Duke University · US

Funding

RAPID System for Early Detection of Head and Neck Cancer in Low-Resource SettingsR01DE030455 · NIDCR · DUKE UNIVERSITY · PI WALTER Tsong LEE, Tuan Vo-Dinh · 2022 to 2026
$2.7M
Integrated Acoustofluidic Plasmonic Molecular Diagnostic System for Detecting MicroRNA BiomarkersR01GM135486 · NIGMS · DUKE UNIVERSITY · PI VO-DINH, TUAN · 2020 to 2023
$1.8M
Gates Foundation INV-040790NIDCR NIH HHS R01 DE030455NIGMS NIH HHS R01 GM135486
6 · The paper itself

Abstract

The 2019 coronavirus disease (COVID-19) outbreak created an unprecedented need for rapid, sensitive, and cost-effective point-of-care diagnostic tests to prevent and mitigate the spread of the SARS-CoV-2 virus. Herein, we demonstrated an advanced lateral flow immunoassay (LFIA) platform with dual-functional [colorimetric and surface-enhanced Raman scattering (SERS)] detection of the spike 1 (S1) protein of SARS-CoV-2. The nanosensor was integrated with a specially designed core-gap-shell morphology consisting of a gold shell decorated with external nanospheres, a structure referred to as gold nanocrown (GNC), labeled with a Raman reporter molecule 1,3,3,1',3',3'-hexamethyl-2,2'-indotricarbocyanine iodide (HITC) to produce a strong colorimetric signal as well as an enhanced SERS signal. Among the different plasmonics-active GNC nanostructures, the GNC-2 morphology, which has a shell decorated with an optimum number and size of nanospheres, produces an intense dark-blue colorimetric signal and ultrahigh SERS signal. The limit of detection (LOD) of the S1 protein via colorimetric detection LFIA was determined to be 91.24 pg/mL. On the other hand, the LOD for the SERS LFIA method was more than three orders of magnitude lower at 57.21 fg/mL. Furthermore, we analyzed the performance of the GNC-2 nanosensor for directly analyzing the S1 protein spiked in saliva samples without any sample pretreatment and achieving the LOD as low as 39.65 fg/mL using SERS-based plasmonics-enhanced LFIA, indicating ultrahigh detection sensitivity. Overall, our GNC nanosensor showed excellent sensitivity, reproducibility, and rapid detection of the SARS-CoV-2 S1 protein, demonstrating excellent potential as a promising point-of-care platform for the early detection of respiratory virus infections.

Indexed as

COVID-19Metal NanoparticlesColorimetryGoldHumansImmunoassayReproducibility of ResultsSARS-CoV-2Spectrum Analysis, RamanGold

Identifiers

PMID38471066
PMCPMC12664776
OpenAlexW4392717666

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Registered trials

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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.