Evidence map›Paper›PMID 31557904›Full record

ArticleSensors (Basel, Switzerland)2019

Highly Sensitive Micropatterned Interdigitated Electrodes for Enhancing the Concentration Effect Based on Dielectrophoresis.

Hye Jin Kim, Heeju Ahn, David S Lee, Dongsung Park, Jae Hyun Kim, Jinsik Kim, Dae Sung Yoon, Kyo Seon Hwang

Abstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Article
  2. Review
  3. On-chip dielectrophoretic single-cell manipulation.Microsystems & nanoengineering · 2024
    Review
  4. Review
  5. Review
  6. 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

8 authors.

Hye Jin KimDepartment of Clinical Pharmacology and Therapeutics, College of Medicine, Kyung Hee University, Seoul 02453, Korea. hyejinkim.mail@gmail.com.ORCID 0000-0001-7070-4204
Heeju AhnDepartment of Clinical Pharmacology and Therapeutics, College of Medicine, Kyung Hee University, Seoul 02453, Korea. hjahn18@korea.ac.kr.
David S LeeDepartment of Clinical Pharmacology and Therapeutics, College of Medicine, Kyung Hee University, Seoul 02453, Korea. dslee91@outlook.com.
Dongsung ParkDepartment of Clinical Pharmacology and Therapeutics, College of Medicine, Kyung Hee University, Seoul 02453, Korea. dpark7047@gmail.com.
Jae Hyun KimDepartment of Clinical Pharmacology and Therapeutics, College of Medicine, Kyung Hee University, Seoul 02453, Korea. jae0221@khu.ac.kr.
Jinsik KimDepartment of Medical Biotechnology, Dongguk University, Seoul 04620, Korea. lookup2@dongguk.edu.
Dae Sung YoonDepartment of Biomedical Engineering Korea University, Seoul 01897, Korea. dsyoon@korea.ac.kr.
Kyo Seon HwangDepartment of Clinical Pharmacology and Therapeutics, College of Medicine, Kyung Hee University, Seoul 02453, Korea. k.hwang@khu.ac.kr.

Funding

Korea Health Industry Development Institute HI14C3319National Research Foundation of Korea 2018R1A6A3A11041491
6 · The paper itself

Abstract

The concentration effect of dielectrophoresis (DEP) enables detection of biomolecules with high sensitivity. In this study, microstructures were patterned between the interdigitated microelectrodes (IMEs) to increase the concentration effect of DEP. The microstructures increased the electric field gradient ( ∇ | E 2 | ) between the IMEs to approximately 6.61-fold higher than in the bare IMEs with a gap of 10 μm, resulting in a decreased optimal voltage to concentrate amyloid beta 42 (Aβ

Indexed as

amyloid beta 42concentration effectdielectrophoresishigh sensitivitytau-441

Identifiers

PMID31557904
PMCPMC6806168

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.