Evidence map›Paper›PMID 33629833›Full record

ArticleACS sensors2021

Microfluidic Magneto Immunosensor for Rapid, High Sensitivity Measurements of SARS-CoV-2 Nucleocapsid Protein in Serum.

Jiran Li, Peter B Lillehoj

Open access · greenAbstract read
In one paragraph

Article in ACS sensors, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 68 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
68citing papers in PubMed, 2 pooled it
10.3field-weighted citation impact, top 1% 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

68 citing papers in PubMed, 2 syntheses or guidelines pooled it, 173 citations in OpenAlex.

  1. Rapid, point-of-care antigen tests for diagnosis of SARS-CoV-2 infection.The Cochrane database of systematic reviews · 2022
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8 more citing papers are in PubMed but not listed here.

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

2 authors at 1 institution in 1 country.

Jiran LiDepartment of Mechanical Engineering, Rice University, Houston, Texas 77005, United States.
Peter B LillehojDepartment of Mechanical Engineering, Rice University, Houston, Texas 77005, United States.ORCID 0000-0002-0289-2634
Rice University · US

Funding

Rapid in-field malaria diagnosis, prognosis and monitoring using a mobile phoneR01AI113257 · NIAID · RICE UNIVERSITY · PI LILLEHOJ, PETER B · 2015 to 2018
$1.8M
Unbiased electrothermal flow-enhanced identification of antigen-specific T cells in lung cancerR21CA283852 · NCI · UNIVERSITY OF TX MD ANDERSON CAN CTR · PI LILLEHOJ, PETER B, REUBEN, ALEXANDRE · 2023 to 2023
$413k
NCI NIH HHS R21 CA283852NIAID NIH HHS R01 AI113257
6 · The paper itself

Abstract

The COVID-19 pandemic has highlighted the importance and urgent need for rapid and accurate diagnostic tests for COVID-19 detection and screening. The objective of this work was to develop a simple immunosensor for rapid and high sensitivity measurements of SARS-CoV-2 nucleocapsid protein in serum. This assay is based on a unique sensing scheme utilizing dually-labeled magnetic nanobeads for immunomagnetic enrichment and signal amplification. This immunosensor is integrated onto a microfluidic chip, which offers the advantages of minimal sample and reagent consumption, simplified sample handling, and enhanced detection sensitivity. The functionality of this immunosensor was validated by using it to detect SARS-CoV-2 nucleocapsid protein, which could be detected at concentrations as low as 50 pg/mL in whole serum and 10 pg/mL in 5× diluted serum. We also adapted this assay onto a handheld smartphone-based diagnostic device that could detect SARS-CoV-2 nucleocapsid protein at concentrations as low as 230 pg/mL in whole serum and 100 pg/mL in 5× diluted serum. Lastly, we assessed the capability of this immunosensor to diagnose COVID-19 infection by testing clinical serum specimens, which revealed its ability to accurately distinguish PCR-positive COVID-19 patients from healthy, uninfected individuals based on SARS-CoV-2 nucleocapsid protein serum levels. To the best of our knowledge, this work is the first demonstration of rapid (<1 h) SARS-CoV-2 antigen quantification in whole serum samples. The ability to rapidly detect SARS-CoV-2 protein biomarkers with high sensitivity in very small (<50 μL) serum samples makes this platform a promising tool for point-of-care COVID-19 testing.

Indexed as

SARS-CoV-2Antibodies, MonoclonalAntibodies, ViralCoronavirus Nucleocapsid ProteinsCOVID-19COVID-19 TestingElectrochemical TechniquesHumansImmunoassayMagnetic PhenomenaMicrofluidicsAntibodies, MonoclonalAntibodies, ViralCoronavirus Nucleocapsid ProteinsCOVID-19electrochemicalimmunosensormicrofluidicnucleocapsid proteinSARS-CoV-2

Identifiers

PMID33629833
PMCPMC7931624
OpenAlexW3130829829

What OpenQuestion holds

Textmetadata
LicenceTDM
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.