Evidence map›Paper›PMID 34035562›Full record

ArticleSensors and actuators. B, Chemical2021

Development of a rapid and sensitive quantum dot nanobead-based double-antigen sandwich lateral flow immunoassay and its clinical performance for the detection of SARS-CoV-2 total antibodies.

Yaofeng Zhou, Yuan Chen, Wenjuan Liu, Hao Fang, Xiangmin Li, Li Hou, Yuanjie Liu, Weihua Lai, Xiaolin Huang, Yonghua Xiong

Open access · greenAbstract read
In one paragraph

Article in Sensors and actuators. B, Chemical, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 31 papers.

0numbers the graph read from it
0cells of the map it votes in
31citing papers in PubMed
3.4field-weighted citation impact, top 6% 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

31 citing papers in PubMed, 66 citations in OpenAlex.

  1. Review
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  11. Recent Trends in Lateral Flow Immunoassays with Optical Nanoparticles.International journal of molecular sciences · 2023
    Review
  12. Review
  13. Article
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  15. Article
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  18. Screening and confirmation tests for SARS-CoV-2: benefits and drawbacks.Beni-Suef University journal of basic and applied sciences · 2023
    Review
  19. Article
  20. 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

10 authors at 2 institutions in 1 country.

Yaofeng ZhouState Key Laboratory of Food Science and Technology, Nanchang University, Nanchang 330047, PR China.
Yuan ChenState Key Laboratory of Food Science and Technology, Nanchang University, Nanchang 330047, PR China.
Wenjuan LiuJiangxi Weibang Biological Technology Co. Ltd, Nanchang 330096, PR China.
Hao FangState Key Laboratory of Food Science and Technology, Nanchang University, Nanchang 330047, PR China.
Xiangmin LiState Key Laboratory of Food Science and Technology, Nanchang University, Nanchang 330047, PR China.
Li HouJiangxi YeLi Medical Device Co., Ltd, Nanchang 330096, PR China.
Yuanjie LiuCollege of Information and Electrical Engineering, China Agricultural University, Haidian, Beijing 100083, PR China.
Weihua LaiState Key Laboratory of Food Science and Technology, Nanchang University, Nanchang 330047, PR China.
Xiaolin HuangState Key Laboratory of Food Science and Technology, Nanchang University, Nanchang 330047, PR China.
Yonghua XiongState Key Laboratory of Food Science and Technology, Nanchang University, Nanchang 330047, PR China.
Nanchang University · CNChina Agricultural University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Owing to the over-increasing demands in resisting and managing the coronavirus disease 2019 (COVID-19) pandemic, development of rapid, highly sensitive, accurate, and versatile tools for monitoring total antibody concentrations at the population level has been evolved as an urgent challenge on measuring the fatality rate, tracking the changes in incidence and prevalence, comprehending medical sequelae after recovery, as well as characterizing seroprevalence and vaccine coverage. To this end, herein we prepared highly luminescent quantum dot nanobeads (QBs) by embedding numerous quantum dots into polymer matrix, and then applied it as a signal-amplification label in lateral flow immunoassay (LFIA). After covalently linkage with the expressed recombinant SARS-CoV-2 spike protein (RSSP), the synthesized QBs were used to determine the total antibody levels in sera by virtue of a double-antigen sandwich immunoassay. Under the developed condition, the QB-LFIA can allow the rapid detection of SARS-CoV-2 total antibodies within 15 min with about one order of magnitude improvement in analytical sensitivity compared to conventional gold nanoparticle-based LFIA. In addition, the developed QB-LFIA performed well in clinical study in dynamic monitoring of serum antibody levels in the whole course of SARS-CoV-2 infection. In conclusion, we successfully developed a promising fluorescent immunological sensing tool for characterizing the host immune response to SARS-CoV-2 infection and confirming the acquired immunity to COVID-19 by evaluating the SRAS-CoV-2 total antibody level in the crowd.

Indexed as

Fluorescent detectionLateral flow immunoassayQuantum dot nanobeadsSARS-CoV-2Total antibodies

Identifiers

PMID34035562
PMCPMC8137357
OpenAlexW3160780663

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.