Evidence map›Paper›PMID 34155822›Full record

ArticleAdvanced science (Weinheim, Baden-Wurttemberg, Germany)2021

Infrared Plasmonic Biosensor with Tetrahedral DNA Nanostructure as Carriers for Label-Free and Ultrasensitive Detection of miR-155.

Xindan Hui, Cheng Yang, Dongxiao Li, Xianming He, He Huang, Hong Zhou, Ming Chen, Chengkuo Lee, Xiaojing Mu

Open access · goldAbstract read
In one paragraph

Article in Advanced science (Weinheim, Baden-Wurttemberg, Germany), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers.

0numbers the graph read from it
0cells of the map it votes in
23citing papers in PubMed
4.9field-weighted citation impact, top 3% 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

23 citing papers in PubMed, 93 citations in OpenAlex.

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  7. Breast Tumor Diagnosis Based on Molecular Learning Vector Quantization Neural Networks.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2024
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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

9 authors at 3 institutions in 2 countries.

Xindan HuiKey Laboratory of Optoelectronic Technology and Systems, Ministry of Education, International R&D Center of Micro-Nano Systems and New Materials Technology, Chongqing University, Chongqing, 400044, P. R. China.
Cheng YangDepartment of Clinical Laboratory, Southwest Hospital, Third Military Medical University (Army Medical University), Chongqing, 400038, China.
Dongxiao LiKey Laboratory of Optoelectronic Technology and Systems, Ministry of Education, International R&D Center of Micro-Nano Systems and New Materials Technology, Chongqing University, Chongqing, 400044, P. R. China.
Xianming HeKey Laboratory of Optoelectronic Technology and Systems, Ministry of Education, International R&D Center of Micro-Nano Systems and New Materials Technology, Chongqing University, Chongqing, 400044, P. R. China.
He HuangKey Laboratory of Optoelectronic Technology and Systems, Ministry of Education, International R&D Center of Micro-Nano Systems and New Materials Technology, Chongqing University, Chongqing, 400044, P. R. China.
Hong ZhouKey Laboratory of Optoelectronic Technology and Systems, Ministry of Education, International R&D Center of Micro-Nano Systems and New Materials Technology, Chongqing University, Chongqing, 400044, P. R. China.
Ming ChenDepartment of Clinical Laboratory, Southwest Hospital, Third Military Medical University (Army Medical University), Chongqing, 400038, China.
Chengkuo LeeDepartment of Electrical and Computer Engineering, Center for Intelligent Sensors and MEMS (CISM), NUS Graduate School for Integrative Sciences and Engineering, National University of Singapore, Singapore, 117576, Singapore.
Xiaojing MuKey Laboratory of Optoelectronic Technology and Systems, Ministry of Education, International R&D Center of Micro-Nano Systems and New Materials Technology, Chongqing University, Chongqing, 400044, P. R. China.ORCID 0000-0003-2024-2595
Chongqing University · CNArmy Medical University · CNNational University of Singapore · SG

Funding

Fundamental Research Funds for the Central Universities 2019CDCGGD320National Key Research and Development Program of China 2019YFB2004800National Key Research and Development Program of China 2019YFB2004803National Natural Science Foundation of China 52075061
6 · The paper itself

Abstract

MicroRNAs play an important role in early development, cell proliferation, apoptosis, and cell death, and are aberrantly expressed in many types of cancers. To understand their function and diagnose cancer at an early stage, it is crucial to quantitatively detect microRNA without invasive labels. Here, a plasmonic biosensor based on surface-enhanced infrared absorption (SEIRA) for rapid, label-free, and ultrasensitive detection of miR-155 is reported. This technology leverages metamaterial perfect absorbers stimulating the SEIRA effect to provide up to 1000-fold near-field intensity enhancement over the microRNA fingerprint spectral bands. Additionally, it is discovered that the limit of detection (LOD) of the biosensor can be greatly improved by using tetrahedral DNA nanostructure (TDN) as carriers. By using near-field enhancement of SEIRA and specific binding of TDN, the biosensor achieves label-free detection of miR-155 with a high sensitivity of 1.162% pm

Indexed as

Biosensing TechniquesDNAEquipment DesignHumansInfrared RaysLimit of DetectionMicroRNAsNanostructuresReproducibility of ResultsSensitivity and SpecificityDNAMicroRNAsMIRN155 microRNA, humanbiosensorsinfrared spectroscopymetamaterial absorberssurface-enhanced infrared absorption

Identifiers

PMID34155822
PMCPMC8373097
OpenAlexW3175629216

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.