Evidence map›Paper›PMID 35519230›Full record

ArticleRSC advances2020

Development of micropillar array electrodes for highly sensitive detection of biomarkers.

Chaozhan Chen, Bin Ran, Zhenxing Wang, Hongli Zhao, Minbo Lan, Huaying Chen, Yonggang Zhu

Open access · goldAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in RSC advances, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
1.2field-weighted citation impact, top 24% 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

7 citing papers in PubMed, 28 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 1 country.

Chaozhan ChenSchool of Science, Harbin Institute of Technology, Shenzhen Shenzhen 518055 China.
Bin RanSchool of Science, Harbin Institute of Technology, Shenzhen Shenzhen 518055 China.
Zhenxing WangShanghai Key Laboratory of Functional Materials Chemistry, School of Chemistry and Molecular Engineering, East China University of Science and Technology Shanghai 200237 PR China.
Hongli ZhaoShanghai Key Laboratory of Functional Materials Chemistry, School of Chemistry and Molecular Engineering, East China University of Science and Technology Shanghai 200237 PR China.ORCID https://orcid.org/0000-0001-5935-8451
Minbo LanShanghai Key Laboratory of Functional Materials Chemistry, School of Chemistry and Molecular Engineering, East China University of Science and Technology Shanghai 200237 PR China.ORCID https://orcid.org/0000-0002-4247-0006
Huaying ChenSchool of Mechanical Engineering and Automation, Harbin Institute of Technology, Shenzhen Shenzhen 518055 China zhuyonggang@hit.edu.cn chenhuaying@hit.edu.cn.ORCID https://orcid.org/0000-0003-1054-4362
Yonggang ZhuSchool of Mechanical Engineering and Automation, Harbin Institute of Technology, Shenzhen Shenzhen 518055 China zhuyonggang@hit.edu.cn chenhuaying@hit.edu.cn.ORCID https://orcid.org/0000-0002-5419-9508
Harbin Institute of Technology · CNEast China University of Science and Technology · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Micropillar array electrodes (μAEs) have been widely applied in electrochemical detection owing to their advantages of increased mass transport, lower detection limit, and potential to be miniaturized. This paper reports the fabrication, simulation, surface modification, and characterization of PDMS-based μAEs coated with gold films. The μAEs consist of 9 × 10 micropillars with a height of either 100 μm, 300 μm, or 500 μm in a 0.09 cm

Identifiers

PMID35519230
PMCPMC9057762
OpenAlexW3103551091

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.