Evidence map›Paper›PMID 34600203›Full record

ArticleBiosensors & bioelectronics2022

Magnetofluidic immuno-PCR for point-of-care COVID-19 serological testing.

Pengfei Zhang, Liben Chen, Jiumei Hu, Alexander Y Trick, Fan-En Chen, Kuangwen Hsieh, Yang Zhao, Branch Coleman, Kate Kruczynski, Thomas R Pisanic and 3 more

Open access · greenAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Biosensors & bioelectronics, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
2.1field-weighted citation impact, top 13% 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

12 citing papers in PubMed, 36 citations in OpenAlex.

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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

13 authors at 1 institution in 1 country.

Pengfei ZhangDepartment of Biomedical Engineering, Johns Hopkins University, Baltimore, MD, 21218, USA.
Liben ChenDepartment of Mechanical Engineering, Johns Hopkins University, Baltimore, MD, 21218, USA.
Jiumei HuDepartment of Mechanical Engineering, Johns Hopkins University, Baltimore, MD, 21218, USA.
Alexander Y TrickDepartment of Biomedical Engineering, Johns Hopkins University, Baltimore, MD, 21218, USA.
Fan-En ChenDepartment of Biomedical Engineering, Johns Hopkins University, Baltimore, MD, 21218, USA.
Kuangwen HsiehDepartment of Mechanical Engineering, Johns Hopkins University, Baltimore, MD, 21218, USA.
Yang ZhaoDepartment of Biomedical Engineering, Johns Hopkins University, Baltimore, MD, 21218, USA.
Branch ColemanDepartment of Pathology, Johns Hopkins School of Medicine, Baltimore, MD, 21205, USA.
Kate KruczynskiDepartment of Environmental Health and Engineering, Bloomberg School of Public Health, Johns Hopkins University, Baltimore, MD, 21205, USA.
Thomas R PisanicInstitute for NanoBioTechnology, Johns Hopkins University, Baltimore, MD, 21218, USA.
Christopher D HeaneyDepartment of Environmental Health and Engineering, Bloomberg School of Public Health, Johns Hopkins University, Baltimore, MD, 21205, USA.
William A ClarkeDepartment of Pathology, Johns Hopkins School of Medicine, Baltimore, MD, 21205, USA.
Tza-Huei WangDepartment of Biomedical Engineering, Johns Hopkins University, Baltimore, MD, 21218, USA; Department of Mechanical Engineering, Johns Hopkins University, Baltimore, MD, 21218, USA; Institute for NanoBioTechnology, Johns Hopkins University, Baltimore, MD, 21218, USA. Electronic address: thwang@jhu.edu.
Johns Hopkins University · US

Funding

TrainingU54EB007958 · NIBIB · JOHNS HOPKINS UNIVERSITY · PI Yukari C Manabe · 2007 to 2026
$34.6M
Technology development for point-of-care detection and antimicrobial susceptibility testing of Neisseria gonorrhoeaeR01AI138978 · NIAID · JOHNS HOPKINS UNIVERSITY · PI WANG, TZA-HUEI JEFF · 2018 to 2021
$5.1M
Streamlined 15-min HIV Viral Load Self-Testing Using Finger-Stick BloodR61AI154628 · NIAID · JOHNS HOPKINS UNIVERSITY · PI HSIEH, YU-HSIANG, MANABE, YUKARI C · 2020 to 2022
$1.4M
NIAID NIH HHS HHSN272201400008CNIAID NIH HHS R01 AI138978NIAID NIH HHS R61 AI154628NIBIB NIH HHS U54 EB007958
6 · The paper itself

Abstract

Serological tests play an important role in the fight against Coronavirus Disease 2019 (COVID-19), including monitoring the dynamic immune response after vaccination, identifying past infection and determining community infection rate. Conventional methods for serological testing, such as enzyme-linked immunosorbent assays and chemiluminescence immunoassays, provide reliable and sensitive antibody detection but require sophisticated laboratory infrastructure and/or lengthy assay time. Conversely, lateral flow immunoassays are suitable for rapid point-of-care tests but have limited sensitivity. Here, we describe the development of a rapid and sensitive magnetofluidic immuno-PCR platform that can address the current gap in point-of-care serological testing for COVID-19. Our magnetofluidic immuno-PCR platform automates a magnetic bead-based, single-binding, and one-wash immuno-PCR assay in a palm-sized magnetofluidic device and delivers results in ∼30 min. In the device, a programmable magnetic arm attracts and transports magnetically-captured antibodies through assay reagents pre-loaded in a companion plastic cartridge, and a miniaturized thermocycler and a fluorescence detector perform immuno-PCR to detect the antibodies. We evaluated our magnetofluidic immuno-PCR with 108 clinical serum/plasma samples and achieved 93.8% (45/48) sensitivity and 98.3% (59/60) specificity, demonstrating its potential as a rapid and sensitive point-of-care serological test for COVID-19.

Indexed as

Biosensing TechniquesCOVID-19Antibodies, ViralCOVID-19 Serological TestingCOVID-19 TestingHumansPoint-of-Care SystemsPoint-of-Care TestingSARS-CoV-2Sensitivity and SpecificityAntibodies, ViralCOVID-19Immuno-PCRMagnetofluidic devicePoint-of-careSerological testing

Identifiers

PMID34600203
PMCPMC8458161
OpenAlexW3199367944

What OpenQuestion holds

Textmetadata
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.