Evidence map›Paper›PMID 34679536›Full record

ArticleDiagnostics (Basel, Switzerland)2021

A Novel Rapid Test to Detect Anti-SARS-CoV-2 N Protein IgG Based on Shear Horizontal Surface Acoustic Wave (SH-SAW).

Yu-Chi Peng, Chia-Hsuan Cheng, Hiromi Yatsuda, Szu-Heng Liu, Shih-Jen Liu, Takashi Kogai, Chen-Yen Kuo, Robert Y L Wang

Abstract read
In one paragraph

Article in Diagnostics (Basel, Switzerland), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing 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

12 citing papers in PubMed.

  1. Acoustofluidic Biosensors.Micromachines · 2026
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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.

Yu-Chi PengBiotechnology Industry Master and PhD Program, Chang Gung University, Taoyuan 33302, Taiwan.
Chia-Hsuan ChengTst Biomedical Electronics Co., Ltd., Taoyuan 324, Taiwan.ORCID 0000-0003-4684-8755
Hiromi YatsudaTst Biomedical Electronics Co., Ltd., Taoyuan 324, Taiwan.
Szu-Heng LiuTst Biomedical Electronics Co., Ltd., Taoyuan 324, Taiwan.
Shih-Jen LiuNational Institute of Infectious Diseases and Vaccinology, National Health Research Institutes, Miaoli 35053, Taiwan.
Takashi KogaiTst Biomedical Electronics Co., Ltd., Taoyuan 324, Taiwan.
Chen-Yen KuoDivision of Pediatric Infectious Diseases, Department of Pediatrics, Chang Gung Memorial and Children's Hospital, Linkou 33305, Taiwan.
Robert Y L WangBiotechnology Industry Master and PhD Program, Chang Gung University, Taoyuan 33302, Taiwan.ORCID 0000-0002-1322-3890

Funding

Ministry of Science and Technology, Taiwan 110-2320-B-182-029
6 · The paper itself

Abstract

Since the Coronavirus disease 2019 (COVID-19) pandemic outbreak, many methods have been used to detect antigens or antibodies to severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), including viral culture, nucleic acid test, and immunoassay. The shear-horizontal surface acoustic wave (SH-SAW) biosensor is a novel pathogen detection platform with the advantages of high sensitivity and short detection time. The objective of this study is to develop a SH-SAW biosensor to detect the anti-SARS-CoV-2 nucleocapsid antibody. The rabbit sera collected from rabbits on different days after SARS-CoV-2 N protein injection were evaluated by SH-SAW biosensor and enzyme-linked immunosorbent assay (ELISA). The results showed that the SH-SAW biosensor achieved a high correlation coefficient (R = 0.9997) with different concentrations (34.375-1100 ng/mL) of the "spike-in" anti-N protein antibodies. Compared to ELISA, the SH-SAW biosensor has better sensitivity and can detect anti-N protein IgG signals earlier than ELISA on day 6 (

Indexed as

in vitro diagnostic (IVD)severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2)surface acoustic wave (SAW)

Identifiers

PMID34679536
PMCPMC8534600

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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.