Evidence map›Paper›PMID 40303066›Full record

ArticleTransboundary and emerging diseases2024

Rapid, Multispecies Detection of SARS-CoV-2 Antibodies via a Meta-Surface Plasmon Resonance Biosensor.

Ya Zhao, Rui Li, Zuqing Liu, Hanlin Zhou, Jingyu Yang, Shaoran Zhang, Liping Huang, Gang L Liu, Qiang Zhang, Meilin Jin

Abstract read
In one paragraph

Article in Transboundary and emerging diseases, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Strategies for Multiplexing Plasmonic Biosensing.Sensors (Basel, Switzerland) · 2026
    Review
  2. Article
  3. 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

10 authors.

Ya ZhaoCollege of Veterinary Medicine, Huazhong Agricultural University, Wuhan 430070, China.
Rui LiCollege of Life Science and Technology, Huazhong University of Science and Technology, 1037 Luo Yu Road, Wuhan 430074, China.
Zuqing LiuCollege of Veterinary Medicine, Huazhong Agricultural University, Wuhan 430070, China.
Hanlin ZhouLiangzhun (Shanghai) Industrial Co. Ltd., 1582 Gu Mei Road, Shanghai 200233, China.
Jingyu YangCollege of Veterinary Medicine, Huazhong Agricultural University, Wuhan 430070, China.
Shaoran ZhangNational Key Laboratory of Agricultural Microbiology, Huazhong Agricultural University, Wuhan 430070, China.
Liping HuangCollege of Life Science and Technology, Huazhong University of Science and Technology, 1037 Luo Yu Road, Wuhan 430074, China.ORCID https://orcid.org/0000-0003-3466-5097
Gang L LiuCollege of Life Science and Technology, Huazhong University of Science and Technology, 1037 Luo Yu Road, Wuhan 430074, China.ORCID https://orcid.org/0009-0004-4881-6313
Qiang ZhangCollege of Veterinary Medicine, Huazhong Agricultural University, Wuhan 430070, China.ORCID https://orcid.org/0000-0002-6503-8590
Meilin JinCollege of Veterinary Medicine, Huazhong Agricultural University, Wuhan 430070, China.ORCID https://orcid.org/0000-0002-3145-9434

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Public health concerns have been raised by numerous reports of severe acute respiratory syndrome coronavirus type 2 (SARS-CoV-2) and its variations infecting a range of animals. Wildlife reservoirs may facilitate the evolution of viral types capable of causing human infection in the future. Therefore, epidemiological monitoring of animals in close contact with humans is necessary. Yet, infection symptoms are not obvious in most animals, which leads to a short nucleic acid test-detection period and limits the application of this method in animals. The use of virus- and pseudovirus-based neutralizing antibody detection techniques is restricted to establishments with elevated biosafety standards. Traditional enzyme-linked immunosorbent assays (ELISA) do not offer multispecies detection and are time-consuming and labor-intensive. This work developed a polyethyleneimine-gold nanoparticle meta-surface plasmon resonance biosensor system-based multispecies SARS-CoV-2 antibody detection platform that is fast, sensitive, has a high throughput, and is fully automated. The test can be done in 30 min and specificity is up to 100% for detection in cats, dogs, and minks. Moreover, the coincidence rate was up to 99.36% (313/315) for the detection of pseudovirus in clinical and immune sera. Additionally, this method's detection sensitivity in cat, dog, and mink serum is 2,048, 1,024, and 4,096 times, which is much better than indirect ELISA and comparable to indirect immunofluorescence assays. An efficient method for COVID-19 epidemiology screening in animal serum will be made available by this platform.

Indexed as

Antibodies, ViralBiosensing TechniquesCOVID-19COVID-19 Serological TestingSARS-CoV-2Surface Plasmon ResonanceAnimalsCatsDogsGoldHumansSensitivity and SpecificityAntibodies, ViralGold

Identifiers

PMID40303066
PMCPMC12016715

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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.