Evidence map›Paper›PMID 34671590›Full record

ArticleFrontiers in chemistry2021

Point-of-Care Testing for Multiple Cardiac Markers Based on a Snail-Shaped Microfluidic Chip.

Binfeng Yin, Xinhua Wan, Changcheng Qian, A S M Muhtasim Fuad Sohan, Songbai Wang, Teng Zhou

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Frontiers in chemistry, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing 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

15 citing papers in PubMed.

  1. Review
  2. Review
  3. Patient-centred newer testing methods for major cardiac disorders.Indian journal of thoracic and cardiovascular surgery · 2025
    Review
  4. Article
  5. Review
  6. Article
  7. Review
  8. Article
  9. Review
  10. Review
  11. Review
  12. Review
  13. Article
  14. Article
  15. 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

6 authors.

Binfeng YinSchool of Mechanical Engineering, Yangzhou University, Yangzhou, China.
Xinhua WanSchool of Mechanical Engineering, Yangzhou University, Yangzhou, China.
Changcheng QianSchool of Mechanical Engineering, Yangzhou University, Yangzhou, China.
A S M Muhtasim Fuad SohanSchool of Mechanical Engineering, Yangzhou University, Yangzhou, China.
Songbai WangSchool of Chemistry and Chemical Engineering, Shanxi University, Taiyuan, China.
Teng ZhouMechanical and Electrical Engineering College, Hainan University, Haikou, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Existing methods for detecting cardiac markers are difficult to be applied in point-of-care testing (POCT) due to complex operation, long time consumption, and low sensitivity. Here, we report a snail-shaped microfluidic chip (SMC) for the multiplex detection of cTnI, CK-MB, and Myo with high sensitivity and a short detection time. The SMC consists of a sandwich structure: a channel layer with a mixer and reaction zone, a reaction layer coated with capture antibodies, and a base layer. The opening or closing of the microchannels is realized by controlling the downward movement of the press-type mechanical valve. The chemiluminescence method was used as a signal readout, and the experimental conditions were optimized. SMC could detect cTnI, CK-MB, and Myo at concentrations as low as 1.02, 1.37, and 4.15. The SMC will be a promising platform for a simultaneous determination of multianalytes and shows a potential application in POCT.

Indexed as

cardiac markerschemiluminescencemultiplex detectionPOCTsnail-shaped microfluidic chip

Identifiers

PMID34671590
PMCPMC8521045

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.