Evidence map›Paper›PMID 34826321›Full record

ArticleThe Analyst2021

On-demand nanozyme signal enhancement at the push of a button for the improved detection of SARS-CoV-2 nucleocapsid protein in serum.

Daniel W Bradbury, Jasmine T Trinh, Milo J Ryan, Cassandra M Cantu, Jiakun Lu, Frances D Nicklen, Yushen Du, Ren Sun, Benjamin M Wu, Daniel T Kamei

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

Article in The Analyst, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
1.4field-weighted citation impact, top 20% 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

8 citing papers in PubMed, 21 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

10 authors at 1 institution in 3 countries.

Daniel W BradburyDepartment of Bioengineering, University of California, Los Angeles, CA 90095, USA. kamei@seas.ucla.edu.ORCID http://orcid.org/0000-0002-7568-7834
Jasmine T TrinhDepartment of Bioengineering, University of California, Los Angeles, CA 90095, USA. kamei@seas.ucla.edu.
Milo J RyanDepartment of Bioengineering, University of California, Los Angeles, CA 90095, USA. kamei@seas.ucla.edu.
Cassandra M CantuDepartment of Bioengineering, University of California, Los Angeles, CA 90095, USA. kamei@seas.ucla.edu.
Jiakun LuDepartment of Bioengineering, University of California, Los Angeles, CA 90095, USA. kamei@seas.ucla.edu.
Frances D NicklenDepartment of Bioengineering, University of California, Los Angeles, CA 90095, USA. kamei@seas.ucla.edu.
Yushen DuDepartment of Molecular and Medical Pharmacology, University of California, Los Angeles, CA 90095, USA.
Ren SunDepartment of Molecular and Medical Pharmacology, University of California, Los Angeles, CA 90095, USA.
Benjamin M WuDepartment of Bioengineering, University of California, Los Angeles, CA 90095, USA. kamei@seas.ucla.edu.
Daniel T KameiDepartment of Bioengineering, University of California, Los Angeles, CA 90095, USA. kamei@seas.ucla.edu.ORCID http://orcid.org/0000-0001-8864-1846
University of California, Los Angeles · US

Funding

UCLA MSD ProgramR25GM055052 · NIGMS · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI BARBER, PAUL HENRY, HASSON, TAMA W. · 1996 to 2021
$9.2M
NIGMS NIH HHS R25 GM055052
6 · The paper itself

Abstract

We developed an innovative 3D printed casing that incorporates a lateral-flow immunoassay, dehydrated signal enhancement reagents, and a sealed buffer chamber. With only the push of a button for signal enhancement, our device detected the SARS-CoV-2 N-protein in 40 min at concentrations as low as 0.1 ng mL

Indexed as

COVID-19SARS-CoV-2Antibodies, ViralHumansImmunoassaySensitivity and SpecificityAntibodies, Viral

Identifiers

PMID34826321
PMCPMC8988870
OpenAlexW3215304999

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.