Evidence map›Paper›PMID 40416977›Full record

ArticleFrontiers in immunology2025

Simultaneously ultrasensitive and differential detection of SARS-CoV-2, adenovirus and influenza a virus using multiplex fluorescence lateral flow immunoassay.

Xiaoyan Li, Changxu Zhao, Guangzheng Hou, Zhihua Sun, Xiaomei Liu, Yanlei Ding, Yi Fang, Qiqi Liu

Abstract read
In one paragraph

Article in Frontiers in immunology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Review
  2. Review
  3. Review
  4. Article
  5. Simultaneous and sensitive detection ofFrontiers in bioengineering and biotechnology · 2025
    Article
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

8 authors.

Xiaoyan Li *Bioinformatics Center of Academy of Military Medical Sciences, Beijing, China.
Changxu Zhao *Bioinformatics Center of Academy of Military Medical Sciences, Beijing, China.
Guangzheng HouBioinformatics Center of Academy of Military Medical Sciences, Beijing, China.
Zhihua SunInfectious Diseases Department of Air Force Medical Center, Beijing, China.
Xiaomei LiuBioinformatics Center of Academy of Military Medical Sciences, Beijing, China.
Yanlei DingBioinformatics Center of Academy of Military Medical Sciences, Beijing, China.
Yi FangInfectious Diseases Department of Air Force Medical Center, Beijing, China.
Qiqi LiuBioinformatics Center of Academy of Military Medical Sciences, Beijing, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: The rapid and precise differential diagnosis of respiratory diseases is crucial to impede the spread of the viruses, considering the substantial demand resulting from frequent co-infections. Method: A quantum dot nanobeads (QBs)-based multiplex fluorescence lateral flow immunoassay (QBs-based MF-LFA) biosensor was developed. The MF-LFA biosensor enabled simultaneous and sensitive quantification of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), Adenovirus (ADV), and Influenza A Virus (IAV), boasting low limit of detection (LOD) of 56, 120, and 41 copies/mL, respectively. Compared to colloidal gold LFA, the LOD was improved by 200, 417, and 1220 times, respectively, while maintaining sensitivity comparable to PCR techniques. Result and discussions: The biosensor provided results within 20 minutes, exhibited good reproducibility, and boasted high accuracy with recoveries ranging from 96% to 105%. Additionally, the biosensor had a shelf life of up to 8 months, attributed to the use of freeze-dried probes with minimal water content, ensuring enhanced stability. Clinical samples of SARS-CoV-2, ADV and IAV infections were tested, the results were consistent with both PCR testing and clinical diagnostic tests. This highlights the considerable potential of our biosensor for early and rapid differential detection of respiratory viruses.

Indexed as

AdenoviridaeCOVID-19Influenza A virusInfluenza, HumanSARS-CoV-2Biosensing TechniquesHumansImmunoassayLimit of DetectionQuantum DotsReproducibility of ResultsSensitivity and Specificitydifferential detectionlateral flow immunoassayquantum dot nanobeadsrespiratory virusesSARS-CoV-2

Identifiers

PMID40416977
PMCPMC12098280

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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.