Evidence map›Paper›PMID 34840014›Full record

ArticleBiosensors & bioelectronics2022

Quantum dots assembly enhanced and dual-antigen sandwich structured lateral flow immunoassay of SARS-CoV-2 antibody with simultaneously high sensitivity and specificity.

Jianghua Jia, Lijiao Ao, Yongxin Luo, Tao Liao, Liang Huang, Dinglv Zhuo, Chenxing Jiang, Jing Wang, Jun Hu

Open access · greenAbstract read
In one paragraph

Article in Biosensors & bioelectronics, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed
2.5field-weighted citation impact, top 8% 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

17 citing papers in PubMed, 53 citations in OpenAlex.

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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.

Jianghua JiaCollege of Chemical Engineering, Zhejiang University of Technology, Hangzhou, 310014, China; Medicalsystem Biotechnology Co., Ltd, Ningbo, 315104, China.
Lijiao AoInstitute of Biomedical Engineering, The Second Clinical Medical College (Shenzhen People's Hospital) of Jinan University, Shenzhen, 518020, China.
Yongxin LuoXinyu People's Hospital, Xinyu, 338000, China.
Tao LiaoShenzhen WWHS Biotech. Inc, Shenzhen, 518100, China.
Liang HuangCollege of Chemical Engineering, Zhejiang University of Technology, Hangzhou, 310014, China. Electronic address: lhuang@zjut.edu.cn.
Dinglv ZhuoCollege of Chemical Engineering, Zhejiang University of Technology, Hangzhou, 310014, China.
Chenxing JiangCollege of Chemical Engineering, Zhejiang University of Technology, Hangzhou, 310014, China.
Jing WangCollege of Chemical Engineering, Zhejiang University of Technology, Hangzhou, 310014, China. Electronic address: Jingw1986@zjut.edu.cn.
Jun HuCollege of Chemical Engineering, Zhejiang University of Technology, Hangzhou, 310014, China. Electronic address: hjzjut@zjut.edu.cn.
Zhejiang University of Technology · CNJinan University · CNXinyu University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Exploring reliable and highly-sensitive SARS-CoV-2 antibody diagnosis by point-of-care (POC) manner, holds great public health significance for extensive COVID-19 screening and controlling. Unfortunately, the currently applied gold based lateral flow immunoassay (GLFIA) may expose both false-negative and false-positive interpretations owing to the sensitivity and specificity limitations, which may cause significant risk and waste of public resources for large population screening. To simultaneously overcome the drawbacks of GLFIA, a novel fluorescent LFIA based on signal amplification and dual-antigen sandwich structure was established with largely improved sensitivity and specificity. The compact three-dimensional incorporation of hydrophobic quantum dots within dendritic affinity templates and multilayer surface derivation guaranteed a high and robust fluorescence of single label, which lowered the false negative rate of GLFIA prominently. A dual-antigen sandwich structure using labeled/immobilized SARS-CoV-2 spike receptor binding domain antigen for capturing total human SARS-CoV-2 antibody was developed, instead of general indirect antibody capturing approach, to reduce the false positive rate of GLFIA. Over 300 cases of COVID-19 negative and 97 cases of COVID-19 positive samples, the current assay revealed a 100% sensitivity and 100% specificity confirmed by both polymerase chain reaction (PCR) and chemiluminescence immunoassay (CLIA), compared with the considerable misinterpretation cases by currently applied GLFIA. The quantitative results verified by receiver operating characteristic curve and other statistical analysis indicated a well-distinguished positive/negative sample groups. The proposed strategy is highly sensitive towards low concentrated SARS-CoV-2 antibody serums and highly specific towards serums from COVID-19 negative persons and patients infected by other viruses.

Indexed as

Biosensing TechniquesCOVID-19Quantum DotsAntibodies, ViralHumansImmunoassaySARS-CoV-2Sensitivity and SpecificityAntibodies, ViralDual-antigen sandwich immunoassayMisinterpretationPoint-of-care testingQuantum dots assemblySignal amplification

Identifiers

PMID34840014
PMCPMC8595965
OpenAlexW3212662855

What OpenQuestion holds

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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.