Evidence map›Paper›PMID 35635970›Full record

ArticleBiosensors & bioelectronics2022

Non-enzymatic signal amplification-powered point-of-care SERS sensor for rapid and ultra-sensitive assay of SARS-CoV-2 RNA.

Jingjing Zhang, Xiaping Miao, Chunyuan Song, Na Chen, Jingrong Xiong, Hongyu Gan, Jie Ni, Yunfeng Zhu, Kaiting Cheng, Lianhui Wang

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 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
4.0field-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

10 citing papers in PubMed, 50 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

10 authors at 3 institutions in 1 country.

Jingjing ZhangState Key Laboratory for Organic Electronics and Information Displays & Jiangsu Key Laboratory for Biosensors, Institute of Advanced Materials (IAM), Jiangsu National Synergetic Innovation Center for Advanced Materials (SICAM), Nanjing University of Posts & Telecommunications, Nanjing, 210023, China.
Xiaping MiaoGuangzhou KingMed Center for Clinical Laboratory Co., Ltd, 10 Luoxuan 3rd Road, Guangzhou International Biotech Island, Guangdong, 510005, Guangdong, China; Guangzhou Laboratory, No.9 XingDaoHuanBei Road, Guangzhou International Bio Island, Guangzhou, 510005, Guangdong Province, China.
Chunyuan SongState Key Laboratory for Organic Electronics and Information Displays & Jiangsu Key Laboratory for Biosensors, Institute of Advanced Materials (IAM), Jiangsu National Synergetic Innovation Center for Advanced Materials (SICAM), Nanjing University of Posts & Telecommunications, Nanjing, 210023, China. Electronic address: iamcysong@njupt.edu.cn.
Na ChenGuangzhou KingMed Center for Clinical Laboratory Co., Ltd, 10 Luoxuan 3rd Road, Guangzhou International Biotech Island, Guangdong, 510005, Guangdong, China.
Jingrong XiongState Key Laboratory for Organic Electronics and Information Displays & Jiangsu Key Laboratory for Biosensors, Institute of Advanced Materials (IAM), Jiangsu National Synergetic Innovation Center for Advanced Materials (SICAM), Nanjing University of Posts & Telecommunications, Nanjing, 210023, China.
Hongyu GanState Key Laboratory for Organic Electronics and Information Displays & Jiangsu Key Laboratory for Biosensors, Institute of Advanced Materials (IAM), Jiangsu National Synergetic Innovation Center for Advanced Materials (SICAM), Nanjing University of Posts & Telecommunications, Nanjing, 210023, China.
Jie NiState Key Laboratory for Organic Electronics and Information Displays & Jiangsu Key Laboratory for Biosensors, Institute of Advanced Materials (IAM), Jiangsu National Synergetic Innovation Center for Advanced Materials (SICAM), Nanjing University of Posts & Telecommunications, Nanjing, 210023, China.
Yunfeng ZhuState Key Laboratory for Organic Electronics and Information Displays & Jiangsu Key Laboratory for Biosensors, Institute of Advanced Materials (IAM), Jiangsu National Synergetic Innovation Center for Advanced Materials (SICAM), Nanjing University of Posts & Telecommunications, Nanjing, 210023, China.
Kaiting ChengGuangzhou KingMed Center for Clinical Laboratory Co., Ltd, 10 Luoxuan 3rd Road, Guangzhou International Biotech Island, Guangdong, 510005, Guangdong, China; Guangzhou Laboratory, No.9 XingDaoHuanBei Road, Guangzhou International Bio Island, Guangzhou, 510005, Guangdong Province, China. Electronic address: zb-chengkeding@kingmed.com.cn.
Lianhui WangState Key Laboratory for Organic Electronics and Information Displays & Jiangsu Key Laboratory for Biosensors, Institute of Advanced Materials (IAM), Jiangsu National Synergetic Innovation Center for Advanced Materials (SICAM), Nanjing University of Posts & Telecommunications, Nanjing, 210023, China. Electronic address: iamlhwang@njupt.edu.cn.
Nanjing University of Posts and Telecommunications · CNGuangzhou Experimental Station · CNKingmed Diagnostics · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The development of rapid and ultra-sensitive detection technology of SARS-CoV-2 RNA for shortening the diagnostic window and achieving early detection of virus infections is a huge challenge to the efficient prevention and control of COVID-19. Herein, a novel ultra-sensitive surface-enhanced Raman spectroscopy (SERS) sensor powered by non-enzymatic signal amplification is proposed for rapid and reliable assay of SARS-CoV-2 RNA based on SERS-active silver nanorods (AgNRs) sensing chips and a specially designed smart unlocking-mediated target recycling signal amplification strategy. The SERS sensing was carried out by a one-pot hybridization of the lock probes (LPs), hairpin DNAs and SERS tags with SARS-CoV-2 RNA samples on an arrayed SERS sensing chip to achieve the recognition of SARS-CoV-2 RNA, the execution of nuclease-free unlocking-mediated target recycling signal amplification, and the combination of SERS tags to generate SERS signal. The SERS sensor for SARS-CoV-2 RNA can be achieved within 50 min with an ultra-high sensitivity low to 51.38 copies/mL, and has good selectivity in discriminating SARS-CoV-2 RNA against other respiratory viruses in representative clinical samples, which is well adapted for rapid, ultra-sensitive, multi-channel and point-of-care testing of viral nucleic acids, and is expected to achieve detection of SARS-CoV-2 infection in earlier detection windows for efficient COVID-19 prevention and control.

Indexed as

Biosensing TechniquesCOVID-19HumansNucleic Acid Amplification TechniquesPoint-of-Care SystemsRNA, ViralSARS-CoV-2RNA, ViralCOVID-19Early detectionSARS-CoV-2 RNASERSTarget recycling signal amplification

Identifiers

PMID35635970
PMCPMC9110061
OpenAlexW4280645734

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.