Evidence map›Paper›PMID 36354488›Full record

ArticleBiosensors2022

Comparison of Optical and Electrical Sensor Characteristics for Efficient Analysis of Attachment and Detachment of Aptamer.

Yejin Park, Thinh Viet Dang, Uiseok Jeong, Moon Il Kim, Jinsik Kim

Abstract read
In one paragraph

Article in Biosensors, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Review
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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

5 authors.

Yejin ParkDepartment of Biomedical Engineering, College of Life Science and Biotechnology, Dongguk University, Seoul 04620, Korea.
Thinh Viet DangDepartment of BioNano Technology, Gachon University, Seongnam 13120, Gyeonggi, Korea.ORCID 0000-0003-1264-2724
Uiseok JeongSKhynix, Gyeongchung-daero 2091, Bubal-eup, Incheon-si 17336, Gyeonggi-do, Korea.
Moon Il KimDepartment of BioNano Technology, Gachon University, Seongnam 13120, Gyeonggi, Korea.ORCID 0000-0003-1844-0939
Jinsik KimDepartment of Biomedical Engineering, College of Life Science and Biotechnology, Dongguk University, Seoul 04620, Korea.

Funding

Ministry of Science ICT and Future Planning NRF-2019R1A2C1087459Ministry of Trade, Industry and Energy 20015793
6 · The paper itself

Abstract

Nucleic acid aptamer-based research has focused on achieving the highest performance for bioassays. However, there are limitations in evaluating the affinity for the target analytes in these nucleic acid aptamer-based bioassays. In this study, we mainly propose graphene oxide (GO)-based electrical and optical analyses to efficiently evaluate the affinity between an aptamer and its target. We found that an aptamer-coupled GO-based chip with an electrical resistance induced by a field-effect transistor, with aptamers as low as 100 pM, can detect the target, thrombin, at yields as low as 250 pM within five minutes. In the optical approach, the fluorescent dye-linked aptamer, as low as 100 nM, was efficiently used with GO, enabling the sensitive detection of thrombin at yields as low as 5 nM. The cantilever type of mechanical analysis also demonstrated the intuitive aptamer-thrombin reaction in the signal using dBm units. Finally, a comparison of electrical and optical sensors' characteristics was introduced in the attachment and detachment of aptamer to propose an efficient analysis that can be utilized for various aptamer-based research fields.

Indexed as

Aptamers, NucleotideBiosensing TechniquesGraphiteNucleic AcidsLimit of DetectionThrombinAptamers, Nucleotidegraphene oxideGraphiteNucleic AcidsThrombinaptamercantilever-integrated waveguidefield-effect transistorfluorescence quenchinggraphene oxidethrombin detection

Identifiers

PMID36354488
PMCPMC9688426

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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.