Evidence map›Paper›PMID 36063218›Full record

ArticleNano convergence2022

Dual-mode SERS-based lateral flow assay strips for simultaneous diagnosis of SARS-CoV-2 and influenza a virus.

Mengdan Lu, Younju Joung, Chang Su Jeon, Sunjoo Kim, Dongeun Yong, Hyowon Jang, Sung Hyun Pyun, Taejoon Kang, Jaebum Choo

Abstract read
In one paragraph

Article in Nano convergence, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 29 papers.

0numbers the graph read from it
0cells of the map it votes in
29citing 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

29 citing papers in PubMed.

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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

9 authors.

Mengdan Lu *Department of Chemistry, Chung-Ang University, Seoul, 06974, South Korea.
Younju Joung *Department of Chemistry, Chung-Ang University, Seoul, 06974, South Korea.
Chang Su JeonR&D Center, Speclipse Inc., Seongnam, 13461, South Korea.
Sunjoo KimDepartment of Laboratory Medicine, Gyeongsang National University College of Medicine, Jinju, 52727, South Korea.
Dongeun YongDepartment of Laboratory Medicine and Research Institute of Bacterial Resistance, Yonsei University College of Medicine, Seoul, 03722, South Korea.
Hyowon JangBionanotechnology Research Center, Korea Research Institute of Bioscience and Biotechnology (KRIBB), Daejeon, 34141, South Korea.
Sung Hyun PyunR&D Center, Speclipse Inc., Seongnam, 13461, South Korea. ceo@speclipse.com.
Taejoon KangBionanotechnology Research Center, Korea Research Institute of Bioscience and Biotechnology (KRIBB), Daejeon, 34141, South Korea. kangteajoon@kribb.re.kr.ORCID http://orcid.org/0000-0002-5387-6458
Jaebum ChooDepartment of Chemistry, Chung-Ang University, Seoul, 06974, South Korea. jbchoo@cau.ac.kr.

Funding

Government-wide R&D Fund HG18C0062KRIBB 1711134081National Research Foundation of Korea 2019R1A2C3004375National Research Foundation of Korea 2020R1A5A1018052National Research Foundation of Korea 2021M3E5E3080379
6 · The paper itself

Abstract

Since COVID-19 and flu have similar symptoms, they are difficult to distinguish without an accurate diagnosis. Therefore, it is critical to quickly and accurately determine which virus was infected and take appropriate treatments when a person has an infection. This study developed a dual-mode surface-enhanced Raman scattering (SERS)-based LFA strip that can diagnose SARS-CoV-2 and influenza A virus with high accuracy to reduce the false-negative problem of the commercial colorimetric LFA strip. Furthermore, using a single strip, it is feasible to detect SARS-CoV-2 and influenza A virus simultaneously. A clinical test was performed on 39 patient samples (28 SARS-CoV-2 positives, 6 influenza A virus positives, and 5 negatives), evaluating the clinical efficacy of the proposed dual-mode SERS-LFA strip. Our assay results for clinical samples show that the dual-mode LFA strip significantly reduced the false-negative rate for both SARS-CoV-2 and influenza A virus.

Indexed as

Dual-mode assaysInfluenza a virusLateral flow assay stripSARS-CoV-2Surface-enhanced Raman scattering

Identifiers

PMID36063218
PMCPMC9441817

What OpenQuestion holds

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LicenceCC BY
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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.