Evidence map›Paper›PMID 34207808›Full record

ArticleSensors (Basel, Switzerland)2021

Rapid and Sensitive Detection of miRNA Based on AC Electrokinetic Capacitive Sensing for Point-of-Care Applications.

Nan Wan, Yu Jiang, Jiamei Huang, Rania Oueslati, Shigetoshi Eda, Jayne Wu, Xiaogang Lin

Open access · goldAbstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
0.6field-weighted citation impact, top 38% 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

8 citing papers in PubMed, 11 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 2 institutions in 2 countries.

Nan WanKey Laboratory of Optoelectronic Technology and System of the Education Ministry of China, Chongqing University, Chongqing 400044, China.ORCID 0000-0002-6235-6104
Yu JiangDepartment of Electrical Engineering and Computer Science, The University of Tennessee, Knoxville, TN 37996, USA.
Jiamei HuangDepartment of Electrical Engineering and Computer Science, The University of Tennessee, Knoxville, TN 37996, USA.ORCID 0000-0001-6410-0623
Rania OueslatiDepartment of Electrical Engineering and Computer Science, The University of Tennessee, Knoxville, TN 37996, USA.
Shigetoshi EdaDepartment of Forestry, Wildlife and Fisheries, The University of Tennessee Institute of Agriculture, Knoxville, TN 37996, USA.
Jayne WuDepartment of Electrical Engineering and Computer Science, The University of Tennessee, Knoxville, TN 37996, USA.ORCID 0000-0001-5143-9425
Xiaogang LinKey Laboratory of Optoelectronic Technology and System of the Education Ministry of China, Chongqing University, Chongqing 400044, China.
University of Tennessee at Knoxville · USChongqing University · CN

Funding

Fundamental Research Funds for the Central Universities No.2019CDYGZD006Postgraduate education and teaching reform research project of Chongqing University No. cquyjg18323USDA National Institute of Food and Agriculture 2017-67007-26150Venture & Innovation Support Program for Chongqing Overseas Returnees and Fundamental Research Funds for the Central Universities No. 10611CDJXZ238826
6 · The paper itself

Abstract

A sensitive and efficient method for microRNAs (miRNAs) detection is strongly desired by clinicians and, in recent years, the search for such a method has drawn much attention. There has been significant interest in using miRNA as biomarkers for multiple diseases and conditions in clinical diagnostics. Presently, most miRNA detection methods suffer from drawbacks, e.g., low sensitivity, long assay time, expensive equipment, trained personnel, or unsuitability for point-of-care. New methodologies are needed to overcome these limitations to allow rapid, sensitive, low-cost, easy-to-use, and portable methods for miRNA detection at the point of care. In this work, to overcome these shortcomings, we integrated capacitive sensing and alternating current electrokinetic effects to detect specific miRNA-16b molecules, as a model, with the limit of detection reaching 1.0 femto molar (fM) levels. The specificity of the sensor was verified by testing miRNA-25, which has the same length as miRNA-16b. The sensor we developed demonstrated significant improvements in sensitivity, response time and cost over other miRNA detection methods, and has application potential at point-of-care.

Indexed as

Biosensing TechniquesMicroRNAsEquipment DesignLimit of DetectionPoint-of-Care SystemsMicroRNAsalternating current electrokinetic effectscapacitive sensingmiRNA sensingpoint-of-care diagnostics

Identifiers

PMID34207808
PMCPMC8226656
OpenAlexW3167487972

What Socratic holds

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LicenceCC BY
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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 Socratic graph.