Evidence map›Paper›PMID 34635237›Full record

ArticleTalanta2022

Aptamer/antibody sandwich method for digital detection of SARS-CoV2 nucleocapsid protein.

Chenchen Ge, Juan Feng, Jiaming Zhang, Kai Hu, Dou Wang, Ling Zha, Xuejuan Hu, Rongsong Li

Open access · greenAbstract read
In one paragraph

Article in Talanta, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers.

0numbers the graph read from it
0cells of the map it votes in
22citing papers in PubMed
3.7field-weighted citation impact, top 5% 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

22 citing papers in PubMed, 56 citations in OpenAlex.

  1. An Engineered Supramolecular Pathway for Enhanced Electrochemiluminescence.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026
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  12. Aptamers: precision tools for diagnosing and treating infectious diseases.Frontiers in cellular and infection microbiology · 2024
    Review
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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

8 authors at 2 institutions in 1 country.

Chenchen GeCollege of Health Science and Environmental Engineering, Shenzhen Technology University, 3002 Lantian Road, Pingshan District, Shenzhen, Guangdong, 518118, PR China.
Juan FengCollege of Health Science and Environmental Engineering, Shenzhen Technology University, 3002 Lantian Road, Pingshan District, Shenzhen, Guangdong, 518118, PR China.
Jiaming ZhangSino-German College of Intelligent Manufacturing, Shenzhen Technology University, 3002 Lantian Road, Pingshan District, Shenzhen, Guangdong, 518118, PR China.
Kai HuSino-German College of Intelligent Manufacturing, Shenzhen Technology University, 3002 Lantian Road, Pingshan District, Shenzhen, Guangdong, 518118, PR China.
Dou WangShenzhen Key Laboratory of Smart Healthcare Engineering, Department of Biomedical Engineering, Southern University of Science and Technology, No. 1088, Xueyuan Rd., Xili, Nanshan District, Shenzhen, Guangdong, 518055, PR China. Electronic address: wangd9@sustech.edu.cn.
Ling ZhaCollege of Health Science and Environmental Engineering, Shenzhen Technology University, 3002 Lantian Road, Pingshan District, Shenzhen, Guangdong, 518118, PR China.
Xuejuan HuSino-German College of Intelligent Manufacturing, Shenzhen Technology University, 3002 Lantian Road, Pingshan District, Shenzhen, Guangdong, 518118, PR China. Electronic address: huxuejuan@sztu.edu.cn.
Rongsong LiCollege of Health Science and Environmental Engineering, Shenzhen Technology University, 3002 Lantian Road, Pingshan District, Shenzhen, Guangdong, 518118, PR China. Electronic address: lirongsong@sztu.edu.cn.
Shenzhen Technology University · CNSouthern University of Science and Technology · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Nucleocapsid protein (N protein) is the most abundant protein in SARS-CoV2 and is highly conserved, and there are no homologous proteins in the human body, making it an ideal biomarker for the early diagnosis of SARS-CoV2. However, early detection of clinical specimens for SARS-CoV2 remains a challenge due to false-negative results with viral RNA and host antibodies based testing. In this manuscript, a microfluidic chip with femtoliter-sized wells was fabricated for the sensitive digital detection of N protein. Briefly, β-galactosidase (β-Gal)-linked antibody/N protein/aptamer immunocomplexes were formed on magnetic beads (MBs). Afterwards, the MBs and β-Gal substrate fluorescein-di-β-d-galactopyranoside (FDG) were injected into the chip together. Each well of the chip would only hold one MB as confined by the diameter of the wells. The MBs in the wells were sealed by fluorocarbon oil, which confines the fluorescent (FL) product generated from the reaction between β-Gal and FDG in the individual femtoliter-sized well and creates a locally high concentration of the FL product. The FL images of the wells were acquired using a conventional inverted FL microscope. The number of FL wells with MBs (FL wells number) and the number of wells with MBs (MBs wells number) were counted, respectively. The percentage of FL wells was calculated by dividing (FL wells number) by (MBs wells number). The higher the percentage of FL wells, the higher the N protein concentration. The detection limit of this digital method for N protein was 33.28 pg/mL, which was 300 times lower than traditional double-antibody sandwich based enzyme-linked immunosorbent assay (ELISA).

Indexed as

Nucleocapsid ProteinsSARS-CoV-2AntibodiesCOVID-19HumansImmunoassayRNA, ViralAntibodiesNucleocapsid ProteinsRNA, ViralAptamer/antibody sandwichCOVID-19Digital detectionMicrofluidic chipNucleocapsid proteinSARS-CoV2

Identifiers

PMID34635237
PMCPMC8421254
OpenAlexW3201421375

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.