Evidence map›Paper›PMID 37622894›Full record

ArticleBiosensors2023

Development of a Microfluidic Chip System with Giant Magnetoresistance Sensor for High-Sensitivity Detection of Magnetic Nanoparticles in Biomedical Applications.

Tzong-Rong Ger, Pei-Sheng Wu, Wei-Jie Wang, Chiung-An Chen, Patricia Angela R Abu, Shih-Lun Chen

Abstract read
In one paragraph

Article in Biosensors, 2023. 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
–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

0 citing papers in PubMed.

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

6 authors.

Tzong-Rong GerDepartment of Biomedical Engineering, Chung Yuan Christian University, Chung-Li 320314, Taiwan.ORCID 0000-0001-5472-431X
Pei-Sheng WuDepartment of Biomedical Engineering, Chung Yuan Christian University, Chung-Li 320314, Taiwan.
Wei-Jie WangDepartment of Biomedical Engineering, Chung Yuan Christian University, Chung-Li 320314, Taiwan.
Chiung-An ChenDepartment of Electrical Engineering, Ming Chi University of Technology, New Taipei City 243303, Taiwan.ORCID 0000-0002-7605-5214
Patricia Angela R AbuDepartment of Information Systems and Computer Science, Ateneo de Manila University, Quezon City 1108, Philippines.ORCID 0000-0002-8848-6644
Shih-Lun ChenDepartment of Electronic Engineering, Chung Yuan Christian University, Taoyuan City 320314, Taiwan.ORCID 0000-0002-4079-9350

Funding

Ministry of Science and Technology MOST 111-2221-E-033-007-MY3Ministry of Science and Technology MOST-111-2221-E-033-041Ministry of Science and Technology MOST-111-2622-E-131-001Ministry of Science and Technology MOST-111-2823-8-033-001Ministry of Science and Technology MOST- 112-2410-H-033-014Ministry of Science and Technology NSTC 111-2622-E-033-010
6 · The paper itself

Abstract

Magnetic nanoparticles (MNPs) have been widely utilized in the biomedical field for numerous years, offering several advantages such as exceptional biocompatibility and diverse applications in biology. However, the existing methods for quantifying magnetic labeled sample assays are scarce. This research presents a novel approach by developing a microfluidic chip system embedded with a giant magnetoresistance (GMR) sensor. The system successfully detects low concentrations of MNPs with magnetic particle velocities of 20 mm/s. The stray field generated by the magnetic subject flowing through the microchannel above the GMR sensor causes variations in the signals. The sensor's output signals are appropriately amplified, filtered, and processed to provide valuable indications. The integration of the GMR microfluidic chip system demonstrates notable attributes, including affordability, speed, and user-friendly operation. Moreover, it exhibits a high detection sensitivity of 10 μg/μL for MNPs, achieved through optimizing the vertical magnetic field to 100 Oe and the horizontal magnetic field to 2 Oe. Additionally, the study examines magnetic labeled RAW264.7 cells. This quantitative detection of magnetic nanoparticles can have applications in DNA concentration detection, protein concentration detection, and other promising areas of research.

Indexed as

Magnetite NanoparticlesBiological AssayMagnetic FieldsMicrofluidicsMagnetite Nanoparticlesmagnetic particlesmagnetoresistive sensorsmicrofluidics

Identifiers

PMID37622894
PMCPMC10452397

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.