Evidence map›Paper›PMID 30405155›Full record

ArticleScientific reports2018

Magnetoresistive biosensors with on-chip pulsed excitation and magnetic correlated double sampling.

Kyunglok Kim, Drew A Hall, Chengyang Yao, Jung-Rok Lee, Chin C Ooi, Daniel J B Bechstein, Yue Guo, Shan X Wang

Abstract read
In one paragraph

Article in Scientific reports, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

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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

8 authors.

Kyunglok KimDepartment of Electrical Engineering, Stanford University, Stanford, CA, United States.
Drew A HallDepartment of Electrical and Computer Engineering, University of California San Diego, La Jolla, CA, United States.ORCID http://orcid.org/0000-0003-0674-074X
Chengyang YaoDepartment of Electrical Engineering, Stanford University, Stanford, CA, United States.
Jung-Rok LeeDivision of Mechanical and Biomedical Engineering, Ewha Womans University, Seoul, South Korea.
Chin C OoiDepartment of Chemical Engineering, Stanford University, Stanford, CA, United States.ORCID http://orcid.org/0000-0003-4813-4529
Daniel J B BechsteinDepartment of Mechanical Engineering, Stanford University, Stanford, CA, United States.
Yue GuoDepartment of Electrical Engineering, Stanford University, Stanford, CA, United States.
Shan X WangDepartment of Electrical Engineering, Stanford University, Stanford, CA, United States. sxwang@stanford.edu.

Funding

Nano Characterization and Nano Fabrication CoreU54CA199075 · NCI · STANFORD UNIVERSITY · PI GAMBHIR, SANJIV S · 2015 to 2019
$9.6M
Giant MagnetoResistive (GMR) Sensors for Measuring Influenza VaccineR01AI125197 · NIAID · STANFORD UNIVERSITY · PI UTZ, PAUL JOSEPH, WANG, SHAN X. · 2016 to 2021
$5.0M
Ultra-Fast Epigenomic Maps for Monitoring AutoimmunityU19AI110491 · NIAID · STANFORD UNIVERSITY · PI UTZ, PAUL JOSEPH · 2014 to 2018
$3.6M
NCI NIH HHS U54 CA199075NIAID NIH HHS R01 AI125197NIAID NIH HHS U19 AI110491
6 · The paper itself

Abstract

Giant magnetoresistive (GMR) sensors have been shown to be among the most sensitive biosensors reported. While high-density and scalable sensor arrays are desirable for achieving multiplex detection, scalability remains challenging because of long data acquisition time using conventional readout methods. In this paper, we present a scalable magnetoresistive biosensor array with an on-chip magnetic field generator and a high-speed data acquisition method. The on-chip field generators enable magnetic correlated double sampling (MCDS) and global chopper stabilization to suppress 1/f noise and offset. A measurement with the proposed system takes only 20 ms, approximately 50× faster than conventional frequency domain analysis. A corresponding time domain temperature correction technique is also presented and shown to be able to remove temperature dependence from the measured signal without extra measurements or reference sensors. Measurements demonstrate detection of magnetic nanoparticles (MNPs) at a signal level as low as 6.92 ppm. The small form factor enables the proposed platform to be portable as well as having high sensitivity and rapid readout, desirable features for next generation diagnostic systems, especially in point-of-care (POC) settings.

Indexed as

Biosensing TechniquesLab-On-A-Chip DevicesMagneticsAlgorithmsEquipment DesignModels, TheoreticalPoint-of-Care SystemsTemperature

Identifiers

PMID30405155
PMCPMC6220270

What OpenQuestion holds

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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.