Evidence map›Paper›PMID 35478579›Full record

ArticleRSC advances2021

Integration of Ni/NiO nanoparticles and a microfluidic ELISA chip to generate a sensing platform for

Chang-Ching Weng, Chien-Yu Chao, She-Ting Wu, Ping-Hsien Tsou, Wei-Tin Chen, Bor-Ran Li, Yaw-Kuen Li

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

Article in RSC advances, 2021. 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
0.6field-weighted citation impact, top 33% 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

2 citing papers in PubMed, 9 citations in OpenAlex.

  1. Article
  2. 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

7 authors at 3 institutions in 1 country.

Chang-Ching WengDepartment of Applied Chemistry, College of Science, Yang Ming Chiao Tung University Hsinchu Taiwan.
Chien-Yu ChaoInstitute of Biomedical Engineering, College of Electrical and Computer Engineering, Yang Ming Chiao Tung University Hsinchu Taiwan liborran@g2.nctu.edu.tw.
She-Ting WuInstitute of Biomedical Engineering, College of Electrical and Computer Engineering, Yang Ming Chiao Tung University Hsinchu Taiwan liborran@g2.nctu.edu.tw.
Ping-Hsien TsouDepartment of Internal Medicine, National Taiwan University Hospital Hsin-Chu Branch Hsinchu Taiwan.ORCID https://orcid.org/0000-0003-0845-259X
Wei-Tin ChenCenter for Condensed Matter Sciences, Center of Atomic Initiative for New Materials, National Taiwan University Taipei Taiwan weitinchen@ntu.edu.tw.ORCID https://orcid.org/0000-0003-4007-2984
Bor-Ran LiInstitute of Biomedical Engineering, College of Electrical and Computer Engineering, Yang Ming Chiao Tung University Hsinchu Taiwan liborran@g2.nctu.edu.tw.ORCID https://orcid.org/0000-0003-2266-680X
Yaw-Kuen LiDepartment of Applied Chemistry, College of Science, Yang Ming Chiao Tung University Hsinchu Taiwan.ORCID https://orcid.org/0000-0002-6097-7484
National Yang Ming Chiao Tung University · TWNational Taiwan University · TWNational Taiwan University Hospital · TW

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Enzyme-linked immunosorbent assays (ELISAs) are tests that uses antibody recognition and enzyme catalytic activity to identify a substance, and they have been widely used as a diagnostic tool in the clinic. However, performing an ELISA requires various liquid handling steps and long binding times. To solve this problem, we developed a magnetic microfluidic ELISA system (MMF-ELISA). Integration with nickel magnetic nanoparticles can streamline the ELISA process in a fully automated manner for

Identifiers

PMID35478579
PMCPMC9038132
OpenAlexW3194628617

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.