Evidence map›Paper›PMID 36192062›Full record

ArticleAnalytica chimica acta2022

Fluorescent nanodiamond-based spin-enhanced lateral flow immunoassay for detection of SARS-CoV-2 nucleocapsid protein and spike protein from different variants.

Wesley Wei-Wen Hsiao, Neha Sharma, Trong-Nghia Le, Yu-Yuan Cheng, Cheng-Chung Lee, Duc-Thang Vo, Yuen Yung Hui, Huan-Cheng Chang, Wei-Hung Chiang

Open access · greenAbstract read
In one paragraph

Article in Analytica chimica acta, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
4.7field-weighted citation impact, top 4% 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

14 citing papers in PubMed, 49 citations in OpenAlex.

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  8. Aptamers: precision tools for diagnosing and treating infectious diseases.Frontiers in cellular and infection microbiology · 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

9 authors at 3 institutions in 1 country.

Wesley Wei-Wen HsiaoDepartment of Chemical Engineering, National Taiwan University of Science and Technology, Taipei, Taiwan. Electronic address: weshsiao@mail.ntust.edu.tw.
Neha SharmaDepartment of Chemical Engineering, National Taiwan University of Science and Technology, Taipei, Taiwan.
Trong-Nghia LeInstitute of Atomic and Molecular Sciences, Academia Sinica, Taipei, Taiwan.
Yu-Yuan ChengDepartment of Chemical Engineering, National Taiwan University of Science and Technology, Taipei, Taiwan.
Cheng-Chung LeeInstitute of Biological Chemistry, Academia Sinica, Taipei, Taiwan; The Ph.D. Program for Translational Medicine, College of Medical Science and Technology, Taipei Medical University, Taipei, Taiwan.
Duc-Thang VoCollege of Engineering, National Taiwan University of Science and Technology, Taipei, Taiwan.
Yuen Yung HuiInstitute of Atomic and Molecular Sciences, Academia Sinica, Taipei, Taiwan.
Huan-Cheng ChangDepartment of Chemical Engineering, National Taiwan University of Science and Technology, Taipei, Taiwan; Institute of Atomic and Molecular Sciences, Academia Sinica, Taipei, Taiwan.
Wei-Hung ChiangDepartment of Chemical Engineering, National Taiwan University of Science and Technology, Taipei, Taiwan. Electronic address: whchiang@mail.ntust.edu.tw.
National Taiwan University of Science and Technology · TWInstitute of Atomic and Molecular Sciences, Academia Sinica · TWInstitute of Biological Chemistry, Academia Sinica · TW

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

SARS-CoV-2 viruses, responsible for the COVID-19 pandemic, continues to evolve into new mutations, which poses a significant threat to public health. Current testing methods have some limitations, such as long turnaround times, high costs, and professional laboratory requirements. In this report, the novel Spin-Enhanced Lateral Flow Immunoassay (SELFIA) platform and fluorescent nanodiamond (FND) reporter were utilized for the rapid detection of SARS-CoV-2 nucleocapsid and spike antigens from different variants, including wild-type (Wuhan-1), Alpha (B.1.1.7), Delta (B.1.617.2), and Omicron (B.1.1.529). The SARS-CoV-2 antibodies were conjugated with FND via nonspecific binding, enabling the detection of SARS-CoV-2 antigens via both direct and competitive SELFIA format. Direct SELFIA was performed by directly adding the SARS-CoV-2 antibodies-conjugated FND on the antigens-immobilized nitrocellulose (NC) membrane. Conversely, the SARS-CoV-2 antigen-containing sample was first incubated with the antibodies-conjugated FND, and then dropped on the antigen-immobilized NC membrane to carry out the competitive SELFIA. The results suggested that S44F anti-S IgG antibody can be efficiently used for the detection of wild-type, Alpha, Delta, and Omicron variants spike antigens. Findings were comparable in direct SELFIA, competitive SELFIA, and ELISA. A detection limit of 1.94, 0.77, 1.14, 1.91, and 1.68 ng/mL can be achieved for SARS-CoV-2 N protein, wild-type, Alpha, Delta, and Omicron S proteins, respectively, via competitive SELFIA assay. These results suggest that a direct SELFIA assay can be used for antibody/antigen pair screening in diagnosis development, while the competitive SELFIA assay can serve as an accurate quantitative diagnostic tool. The simplicity and rapidity of the SELFIA platform were demonstrated, which can be leveraged in the detection of other infectious diseases in the near future.

Indexed as

COVID-19NanodiamondsAntibodies, ViralCollodionHumansImmunoassayImmunoglobulin GPandemicsSARS-CoV-2Spike Glycoprotein, CoronavirusAntibodies, ViralCollodionImmunoglobulin GNanodiamondsSpike Glycoprotein, Coronavirusspike protein, SARS-CoV-2COVID-19 pandemicFluorescent nanodiamondSARS-CoV-2SELFIA

Identifiers

PMID36192062
PMCPMC9472599
OpenAlexW4295561836

What OpenQuestion holds

Textmetadata
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.