Evidence map›Paper›PMID 39023836›Full record

ArticleMikrochimica acta2024

SERS biosensors based on catalytic hairpin self-assembly and hybridization chain reaction cascade signal amplification strategies for ultrasensitive microRNA-21 detection.

Qiying Chen, Jinru Cao, Hongxing Kong, Ruijue Chen, Ying Wang, Pei Zhou, Wenyi Huang, Hao Cheng, Lijun Li, Si Gao and 1 more

Abstract read
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In one paragraph

Article in Mikrochimica acta, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
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

11 authors.

Qiying Chen *Guangxi Key Laboratory of Green Processing of Sugar Resources, Department of Medicine/College of Biological and Chemical Engineering, Guangxi University of Science and Technology, No. 257 Liushi Road, Yufeng District, Liuzhou City, 545006, Guangxi Zhuang Autonomous Region, PR China.
Jinru Cao *Dongguan Key Laboratory of Precision Molecular Diagnostics, Prenatal Diagnosis Center, Dongguan Songshan Lake Central Hospital, Dongguan, 523200, Guangdong, PR China.
Hongxing KongGuangxi Key Laboratory of Green Processing of Sugar Resources, Department of Medicine/College of Biological and Chemical Engineering, Guangxi University of Science and Technology, No. 257 Liushi Road, Yufeng District, Liuzhou City, 545006, Guangxi Zhuang Autonomous Region, PR China.
Ruijue ChenGuangxi Key Laboratory of Green Processing of Sugar Resources, Department of Medicine/College of Biological and Chemical Engineering, Guangxi University of Science and Technology, No. 257 Liushi Road, Yufeng District, Liuzhou City, 545006, Guangxi Zhuang Autonomous Region, PR China.
Ying WangGuangxi Key Laboratory of Green Processing of Sugar Resources, Department of Medicine/College of Biological and Chemical Engineering, Guangxi University of Science and Technology, No. 257 Liushi Road, Yufeng District, Liuzhou City, 545006, Guangxi Zhuang Autonomous Region, PR China.
Pei ZhouGuangxi Key Laboratory of Green Processing of Sugar Resources, Department of Medicine/College of Biological and Chemical Engineering, Guangxi University of Science and Technology, No. 257 Liushi Road, Yufeng District, Liuzhou City, 545006, Guangxi Zhuang Autonomous Region, PR China.
Wenyi HuangGuangxi Key Laboratory of Green Processing of Sugar Resources, Department of Medicine/College of Biological and Chemical Engineering, Guangxi University of Science and Technology, No. 257 Liushi Road, Yufeng District, Liuzhou City, 545006, Guangxi Zhuang Autonomous Region, PR China.
Hao ChengGuangxi Key Laboratory of Green Processing of Sugar Resources, Department of Medicine/College of Biological and Chemical Engineering, Guangxi University of Science and Technology, No. 257 Liushi Road, Yufeng District, Liuzhou City, 545006, Guangxi Zhuang Autonomous Region, PR China.
Lijun LiGuangxi Key Laboratory of Green Processing of Sugar Resources, Department of Medicine/College of Biological and Chemical Engineering, Guangxi University of Science and Technology, No. 257 Liushi Road, Yufeng District, Liuzhou City, 545006, Guangxi Zhuang Autonomous Region, PR China.
Si GaoGuangxi Key Laboratory of Green Processing of Sugar Resources, Department of Medicine/College of Biological and Chemical Engineering, Guangxi University of Science and Technology, No. 257 Liushi Road, Yufeng District, Liuzhou City, 545006, Guangxi Zhuang Autonomous Region, PR China. gaosi@gxust.edu.cn.
Jun FengGuangxi Key Laboratory of Green Processing of Sugar Resources, Department of Medicine/College of Biological and Chemical Engineering, Guangxi University of Science and Technology, No. 257 Liushi Road, Yufeng District, Liuzhou City, 545006, Guangxi Zhuang Autonomous Region, PR China. hxpfengjun@gxust.edu.cn.ORCID http://orcid.org/0000-0003-0828-1575

Funding

National Natural Science Foundation of China 82260701Natural Science Foundation of Guangxi Province 2020GXNSFAA 297168The Doctoral Foundation of Guangxi University of Science and Technology 20Z23
6 · The paper itself

Abstract

A highly sensitive surface-enhanced Raman scattering (SERS) biosensor has been developed for the detection of microRNA-21 (miR-21) using an isothermal enzyme-free cascade amplification method involving catalytic hairpin assembly (CHA) and hybridization chain reaction (HCR). The CHA reaction is triggered by the target miR-21, which causes hairpin DNA (C1 and C2) to self-assemble into CHA products. After AgNPs@Capture captures the resulting CHA product, the HCR reaction is started, forming long-stranded DNA on the surface of AgNPs. A strong SERS signal is generated due to the presence of a large amount of the Raman reporter methylene blue (MB) in the vicinity of the SERS "hot spot" on the surface of AgNPs. The monitoring of the SERS signal changes of MB allows for the highly sensitive and specific detection of miR-21. In optimal conditions, the biosensor exhibits a satisfactory linear range and a low detection limit for miR-21 of 42.3 fM. Additionally, this SERS biosensor shows outstanding selectivity and reproducibility. The application of this methodology to clinical blood samples allows for the differentiation of cancer patients from healthy controls. As a result, the CHA-HCR amplification strategy used in this SERS biosensor could be a useful tool for miRNA detection and early cancer screening.

Indexed as

Biosensing TechniquesLimit of DetectionMetal NanoparticlesMicroRNAsNucleic Acid HybridizationSpectrum Analysis, RamanCatalysisHumansMethylene BlueNucleic Acid Amplification TechniquesSilverMethylene BlueMicroRNAsMIRN21 microRNA, humanSilverAg nanoparticlesCatalytic hairpin self-assembly (CHA)Hybridization chain reaction (HCR)miR-21Surface-enhanced Raman scattering (SERS)Tumor marker

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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.