Evidence map›Paper›PMID 38667179›Full record

ArticleBiosensors2024

Multi-Functional Nano-Doped Hollow Fiber from Microfluidics for Sensors and Micromotors.

Yanpeng Wang, Zhaoyang Wang, Haotian Sun, Tong Lyu, Xing Ma, Jinhong Guo, Ye Tian

Open access · goldAbstract read
In one paragraph

Article in Biosensors, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
1.5field-weighted citation impact, top 20% 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

3 citing papers in PubMed, 8 citations in OpenAlex.

  1. Review
  2. Review
  3. Review
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.

Yanpeng WangCollege of Medicine and Biological Information Engineering, Northeastern University, Shenyang 110169, China.
Zhaoyang WangCollege of Medicine and Biological Information Engineering, Northeastern University, Shenyang 110169, China.
Haotian SunCollege of Medicine and Biological Information Engineering, Northeastern University, Shenyang 110169, China.
Tong LyuCollege of Medicine and Biological Information Engineering, Northeastern University, Shenyang 110169, China.
Xing MaSchool of Materials Science and Engineering, Harbin Institute of Technology (Shenzhen), Shenzhen 518055, China.
Jinhong GuoSchool of Sensing Science and Engineering, Shanghai Jiao Tong University, Shanghai 200240, China.
Ye TianCollege of Medicine and Biological Information Engineering, Northeastern University, Shenyang 110169, China.
Northeastern University · CNHarbin Institute of Technology · CNShanghai Jiao Tong University · CN

Funding

YeTian 2023-MSBA-093YeTian 32201179YeTian 62122017YeTian N2319005
6 · The paper itself

Abstract

Nano-doped hollow fiber is currently receiving extensive attention due to its multifunctionality and booming development. However, the microfluidic fabrication of nano-doped hollow fiber in a simple, smooth, stable, continuous, well-controlled manner without system blockage remains challenging. In this study, we employ a microfluidic method to fabricate nano-doped hollow fiber, which not only makes the preparation process continuous, controllable, and efficient, but also improves the dispersion uniformity of nanoparticles. Hydrogel hollow fiber doped with carbon nanotubes is fabricated and exhibits superior electrical conductivity (15.8 S m

Indexed as

Biosensing TechniquesMicrofluidicsNanotubes, CarbonWearable Electronic DevicesElectric ConductivityHumansManganese CompoundsNanoparticlesOxidesManganese Compoundsmanganese dioxideNanotubes, CarbonOxideshollow fibersmicrofluidicsmicromotorsnano-doped hydrogelswearable sensors

Identifiers

PMID38667179
PMCPMC11048216
OpenAlexW4394686704

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.