Evidence map›Paper›PMID 35402391›Full record

ArticleFrontiers in bioengineering and biotechnology2022

High Sensitivity, Rapid Detection of Virus in High Traffic Environments.

Lauren Waller, Zhilin Guo, Rui Tang, Zunming Zhang, Edward Wang, Jarred Yasuhara-Bell, Louise Laurent, Yu-Hwa Lo

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

Article in Frontiers in bioengineering and biotechnology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.3field-weighted citation impact, top 51% 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

2 citing papers in PubMed, 4 citations in OpenAlex.

  1. Review
  2. Article
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 at 1 institution in 1 country.

Lauren WallerDepartment of Bioengineering, University of California, San Diego, San Diego, CA, United States.
Zhilin GuoDepartment of Mechanical and Aerospace Engineering, University of California, San Diego, San Diego, CA, United States.
Rui TangDepartment of Electrical and Computer Engineering, University of California, San Diego, San Diego, CA, United States.
Zunming ZhangDepartment of Electrical and Computer Engineering, University of California, San Diego, San Diego, CA, United States.
Edward WangDepartment of Mechanical and Aerospace Engineering, University of California, San Diego, San Diego, CA, United States.
Jarred Yasuhara-BellIndependent Consultant, San Diego, CA, United States.
Louise LaurentDepartment of Obstetrics and Gynecology and Reproductive Sciences, University of California, San Diego, San Diego, CA, United States.
Yu-Hwa LoDepartment of Electrical and Computer Engineering, University of California, San Diego, San Diego, CA, United States.
University of California, San Diego · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The global pandemic caused by the SARS-CoV-2 virus has underscored the need for rapid, simple, scalable, and high-throughput multiplex diagnostics in non-laboratory settings. Here we demonstrate a multiplex reverse-transcription loop-mediated isothermal amplification (RT-LAMP) coupled with a gold nanoparticle-based lateral flow immunoassay (LFIA) capable of detecting up to three unique viral gene targets in 15 min. RT-LAMP primers associated with three separate gene targets from the SARS-CoV-2 virus (Orf1ab, Envelope, and Nucleocapsid) were added to a one-pot mix. A colorimetric change from red to yellow occurs in the presence of a positive sample. Positive samples are run through a LFIA to achieve specificity on a multiplex three-test line paper assay. Positive results are indicated by a characteristic crimson line. The device is almost fully automated and is deployable in any community setting with a power source.

Indexed as

COVID19lateral flow assaymultiplexed loop mediated isothermal amplificationpoint of care diagnosticsrapid diagnosticsRT-LAMPSARS-cov-2

Identifiers

PMID35402391
PMCPMC8989402
OpenAlexW4220910985

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.