Evidence map›Paper›PMID 38001482›Full record

ArticleJournal of nanobiotechnology2023

Fluorescence-enhanced dual signal lateral flow immunoassay for flexible and ultrasensitive detection of monkeypox virus.

Xingsheng Yang, Xiaodan Cheng, Hongjuan Wei, Zhijie Tu, Zhen Rong, Chongwen Wang, Shengqi Wang

Open access · goldAbstract read
In one paragraph

Article in Journal of nanobiotechnology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed
5.8field-weighted citation impact, top 3% 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

16 citing papers in PubMed, 41 citations in OpenAlex.

  1. Review
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  5. Article
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  8. Review
  9. Article
  10. Mpox disease, diagnosis, and point of care platforms.Bioengineering & translational medicine · 2025
    Review
  11. Article
  12. Article
  13. Article
  14. Review
  15. Review
  16. Exploring monkeypox virus proteins and rapid detection techniques.Frontiers in cellular and infection microbiology · 2024
    Review
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 3 institutions in 2 countries.

Xingsheng YangBioinformatics Center of AMMS, Beijing, 100850, P. R. China.
Xiaodan ChengBioinformatics Center of AMMS, Beijing, 100850, P. R. China.
Hongjuan WeiBioinformatics Center of AMMS, Beijing, 100850, P. R. China.
Zhijie TuBioinformatics Center of AMMS, Beijing, 100850, P. R. China.
Zhen RongBioinformatics Center of AMMS, Beijing, 100850, P. R. China. rongzhen0525@sina.com.
Chongwen WangBioinformatics Center of AMMS, Beijing, 100850, P. R. China. wangchongwen1987@126.com.
Shengqi WangBioinformatics Center of AMMS, Beijing, 100850, P. R. China. sqwang@bmi.ac.cn.
Beijing National Laboratory for Molecular Sciences · CNChinese Mathematical Society · CNInstitute of Biophysics · CN

Funding

National Natural Science Foundation of China 32200076National Natural Science Foundation of China 81830101
6 · The paper itself

Abstract

The outbreak of the monkeypox virus (MPXV) worldwide in 2022 highlights the need for a rapid and low-cost MPXV detection tool for effectively monitoring and controlling monkeypox disease. In this study, we developed a flexible lateral flow immunoassay (LFIA) with strong colorimetric and enhanced fluorescence dual-signal output for the rapid, on-site, and highly sensitive detection of the MPXV antigen in different scenarios. A multilayered SiO

Indexed as

Metal NanoparticlesMonkeypox virusGoldImmunoassayLimit of DetectionMpox, MonkeypoxSilicon DioxideGoldSilicon DioxideAntigen detectionColorimetric/fluorescent dual-modeDual-signal nanotagLateral flow immunoassayMonkeypox virus

Identifiers

PMID38001482
PMCPMC10675944
OpenAlexW4388991633

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.