Evidence map›Paper›PMID 35348344›Full record

ArticleNano letters2022

Label-Free Spectroscopic SARS-CoV-2 Detection on Versatile Nanoimprinted Substrates.

Debadrita Paria, Kam Sang Kwok, Piyush Raj, Peng Zheng, David H Gracias, Ishan Barman

Abstract read
In one paragraph

Article in Nano letters, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 30 papers.

0numbers the graph read from it
0cells of the map it votes in
30citing papers in PubMed
–field-weighted citation impact
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

30 citing papers in PubMed.

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  12. Plasmonic Gold Prism Array for Digital Surface-Enhanced Raman Spectroscopy Sensing.The journal of physical chemistry. C, Nanomaterials and interfaces · 2024
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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

6 authors.

Debadrita PariaDepartment of Mechanical Engineering, Johns Hopkins University, Baltimore, Maryland 21218, United States.ORCID 0000-0001-8251-4379
Kam Sang KwokDepartment of Chemical and Biomolecular Engineering, Johns Hopkins University, Baltimore, Maryland 21218, United States.ORCID 0000-0001-6000-7384
Piyush RajDepartment of Mechanical Engineering, Johns Hopkins University, Baltimore, Maryland 21218, United States.ORCID 0000-0002-1488-9475
Peng ZhengDepartment of Mechanical Engineering, Johns Hopkins University, Baltimore, Maryland 21218, United States.ORCID 0000-0001-5907-8505
David H GraciasDepartment of Chemical and Biomolecular Engineering, Johns Hopkins University, Baltimore, Maryland 21218, United States.ORCID 0000-0003-2735-4725
Ishan BarmanDepartment of Mechanical Engineering, Johns Hopkins University, Baltimore, Maryland 21218, United States.ORCID 0000-0003-0800-0825

Funding

Spectroscopy assisted mechano-chemical phenotype recognition nanoscopeDP2GM128198 · NIGMS · JOHNS HOPKINS UNIVERSITY · PI BARMAN, ISHAN · 2017 to 2017
$2.5M
NIAID NIH HHS HHSN272201400008CNIGMS NIH HHS DP2 GM128198
6 · The paper itself

Abstract

Widespread testing and isolation of infected patients is a cornerstone of viral outbreak management, as underscored during the ongoing COVID-19 pandemic. Here, we report a large-area and label-free testing platform that combines surface-enhanced Raman spectroscopy and machine learning for the rapid and accurate detection of SARS-CoV-2. Spectroscopic signatures acquired from virus samples on metal-insulator-metal nanostructures, fabricated using nanoimprint lithography and transfer printing, can provide test results within 25 min. Not only can our technique accurately distinguish between different respiratory and nonrespiratory viruses, but it can also detect virus signatures in physiologically relevant matrices such as human saliva without any additional sample preparation. Furthermore, our large area nanopatterning approach allows sensors to be fabricated on flexible surfaces allowing them to be mounted on any surface or used as wearables. We envision that our versatile and portable label-free spectroscopic platform will offer an important tool for virus detection and future outbreak preparedness.

Indexed as

COVID-19NanostructuresHumansPandemicsSARS-CoV-2Spectrum Analysis, RamanCOVID sensorsFlexible sensorsMachine LearningNanoimprint LithographySurface Enhanced Raman Spectroscopy

Identifiers

PMID35348344
PMCPMC8982738

What OpenQuestion holds

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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.