Evidence map›Paper›PMID 32899715›Full record

ArticlePolymers2020

Design and Parameter Research of Time-Harmonic Magnetic Field Sensor Based on PDMS in Microfluidic Technology.

Chenzhao Bai, Hongpeng Zhang, Chengjie Wang, Lebile Ilerioluwa Joseph, Qiang Wang, Yucai Xie, Guobin Li

Open access · goldAbstract read
In one paragraph

Article in Polymers, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
0.4field-weighted citation impact, top 38% 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

0 citing papers in PubMed, 4 citations in OpenAlex.

No citing paper in PubMed yet.

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 1 institution in 1 country.

Chenzhao BaiSchool of Marine Engineering, Dalian Maritime University, Dalian 116026, China.ORCID 0000-0001-8549-3382
Hongpeng ZhangSchool of Marine Engineering, Dalian Maritime University, Dalian 116026, China.
Chengjie WangSchool of Marine Engineering, Dalian Maritime University, Dalian 116026, China.
Lebile Ilerioluwa JosephSchool of Marine Engineering, Dalian Maritime University, Dalian 116026, China.ORCID 0000-0002-1157-9252
Qiang WangSchool of Marine Engineering, Dalian Maritime University, Dalian 116026, China.
Yucai XieSchool of Marine Engineering, Dalian Maritime University, Dalian 116026, China.
Guobin LiSchool of Marine Engineering, Dalian Maritime University, Dalian 116026, China.
Dalian Maritime University · CN

Funding

National Natural Science Foundation of China 51679022Technology Innovation Foundation of Dalian 2019J12GX023
6 · The paper itself

Abstract

In order to improve the throughput and sensitivity of the inductive metal micro-abrasive particle detection sensor, this paper uses microfluidic detection technology to design a high-throughput abrasive particle detection sensor based on PDMS (Polydimethylsiloxane). Theoretical modeling analyzes the magnetization of metal abrasive particles in the coil's time-harmonic magnetic field, and uses COMSOL simulation to calculate the best performance parameters of the sensor. Through the experiment of the control variable method, the corresponding signal value is obtained and the signal-to-noise ratio (SNR) is calculated. The SNR value and error value are calculated, and the SNR is corrected. The detection limit of the sensor is determined to be 10 μm iron particles and 60 μm copper particles. The optimal design parameters of the 3-D solenoid coil and the frequency characteristics of the sensor are obtained. Finally, through high-throughput experiments and analysis, it was found that there was a reasonable error between the actual throughput and the theoretical throughput. The design ideas suggested in this article can not only improve the sample throughput, but also ensure the detection accuracy. This provides a new idea for the development of an inductive on-line detection method of abrasive particle technology.

Indexed as

coil parametermicrofluidic technologyPDMS applicationsolenoid magnetic field

Identifiers

PMID32899715
PMCPMC7565820
OpenAlexW3083707733

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.