Evidence map›Paper›PMID 33012990›Full record

ArticleSensors and actuators. B, Chemical2020

Highly sensitive SERS assay of DENV gene via a cascade signal amplification strategy of localized catalytic hairpin assembly and hybridization chain reaction.

Chunyuan Song, Jingjing Zhang, Yang Liu, Xiangyin Guo, Yan Guo, Xinyu Jiang, Lianhui Wang

Open access · greenAbstract read
In one paragraph

Article in Sensors and actuators. B, Chemical, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
4.0field-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

11 citing papers in PubMed, 40 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

7 authors at 1 institution in 1 country.

Chunyuan SongKey Laboratory for Organic Electronics and Information Displays & Jiangsu Key Laboratory for Biosensors, Institute of Advanced Materials (IAM), Jiangsu National Synergistic Innovation Center for Advanced Materials (SICAM), Nanjing University of Posts and Telecommunications, Nanjing, 210023, China.
Jingjing ZhangKey Laboratory for Organic Electronics and Information Displays & Jiangsu Key Laboratory for Biosensors, Institute of Advanced Materials (IAM), Jiangsu National Synergistic Innovation Center for Advanced Materials (SICAM), Nanjing University of Posts and Telecommunications, Nanjing, 210023, China.
Yang LiuKey Laboratory for Organic Electronics and Information Displays & Jiangsu Key Laboratory for Biosensors, Institute of Advanced Materials (IAM), Jiangsu National Synergistic Innovation Center for Advanced Materials (SICAM), Nanjing University of Posts and Telecommunications, Nanjing, 210023, China.
Xiangyin GuoKey Laboratory for Organic Electronics and Information Displays & Jiangsu Key Laboratory for Biosensors, Institute of Advanced Materials (IAM), Jiangsu National Synergistic Innovation Center for Advanced Materials (SICAM), Nanjing University of Posts and Telecommunications, Nanjing, 210023, China.
Yan GuoKey Laboratory for Organic Electronics and Information Displays & Jiangsu Key Laboratory for Biosensors, Institute of Advanced Materials (IAM), Jiangsu National Synergistic Innovation Center for Advanced Materials (SICAM), Nanjing University of Posts and Telecommunications, Nanjing, 210023, China.
Xinyu JiangKey Laboratory for Organic Electronics and Information Displays & Jiangsu Key Laboratory for Biosensors, Institute of Advanced Materials (IAM), Jiangsu National Synergistic Innovation Center for Advanced Materials (SICAM), Nanjing University of Posts and Telecommunications, Nanjing, 210023, China.
Lianhui WangKey Laboratory for Organic Electronics and Information Displays & Jiangsu Key Laboratory for Biosensors, Institute of Advanced Materials (IAM), Jiangsu National Synergistic Innovation Center for Advanced Materials (SICAM), Nanjing University of Posts and Telecommunications, Nanjing, 210023, China.
Nanjing University of Posts and Telecommunications · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Pathogenic viruses with worldwide distribution, high incidence and great harm are significantly and increasingly threatening human health. However, there is still lack of sufficient, highly sensitive and specific detection methods for on-time and early diagnosis of virus infection. In this work, taking dengue virus (DENV) as an example, a highly sensitive SERS assay of DENV gene was proposed via a cascade signal amplification strategy of localized catalytic hairpin assembly (LCHA) and hybridization chain reaction (HCR). The SERS assay was performed by two steps, i.e., the operation of cascade signal amplification strategy and the following SERS measurements by transferring the products on SERS-active AgNRs arrays. The sensitivity of the cascade signal amplification strategy is significantly amplified, which is 4.5 times that of individual CHA, and the signal-to-noise ratio is also improved to 5.4 relative to 1.8 of the CHA. The SERS sensing possesses a linear calibration curve from 1 fM to 10 nM with the limit of detection low to 0.49 fM, and has good specificity, uniformity and recovery, which indicates that the highly sensitive SERS assay provides an attractive tool for reliable, early diagnosis of DENV gene and is worth to be popularized in a wide detection of other viruses.

Indexed as

Cascade signal amplificationDENV geneHybridization chain reactionLocalized catalytic hairpin assemblySERS assay

Identifiers

PMID33012990
PMCPMC7521935
OpenAlexW3089817419

What OpenQuestion holds

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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.