Evidence map›Paper›PMID 39282013›Full record

ArticleSensors and actuators. B, Chemical2024

Saliva-STAT: Sample-to-answer saliva test for COVID-19.

David J Boegner, John R Rzasa, Evan H Benke, Ian M White

Abstract read
In one paragraph

Article in Sensors and actuators. B, Chemical, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. 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

4 authors.

David J BoegnerFischell Department of Bioengineering, University of Maryland, College Park, MD 20742, USA.
John R RzasaFischell Institute for Biomedical Devices, University of Maryland, College Park, MD 20742, USA.
Evan H BenkeFischell Department of Bioengineering, University of Maryland, College Park, MD 20742, USA.
Ian M WhiteFischell Department of Bioengineering, University of Maryland, College Park, MD 20742, USA.

Funding

Point-of-care magnetofluidic HCV diagnostic using thermally responsive valvesR01AI176197 · NIAID · UNIV OF MARYLAND, COLLEGE PARK · PI Ian M White · 2024 to 2026
$1.2M
NIAID NIH HHS R01 AI176197
6 · The paper itself

Abstract

Highly accessible and highly accurate diagnostics are necessary to combat rapidly-spreading infectious diseases, such as the recent COVID-19 pandemic. While lateral flow antigen tests have become pervasive, they are insufficiently sensitive to detect early or asymptomatic disease. Nucleic acid amplification tests provide the needed sensitivity, but accessibility of these tests continues to be a challenge due to the need for precise sample processing steps. Here we report a sample-to-answer test for saliva samples (saliva-STAT) that utilizes a battery-powered handheld instrument and a low-cost easily-manufacturable sample cassette to perform a nucleic acid amplification test for viral pathogens. To enable a completely automated assay, we leverage thermally responsive alkane partitions (TRAPs) and paramagnetic beads for virus purification and concentration, as well as reagent addition and mixing. Notably, the saliva STAT easily accommodates directly-dispensed saliva samples (in contrast to microfluidic devices), which is necessary for self-testing. Using the saliva-STAT platform, we demonstrate detection of down to 0.2 copies/μL of SARS-CoV-2 virus in saliva samples. We envision that the saliva-STAT could be used in walk-in clinics, mobile clinics, public testing locations, and in the home. With minor adjustments to the assay, the saliva-STAT platform can easily be adapted for other respiratory viruses, such as Influenza.

Indexed as

COVID-19LAMPpoint-of-caresalivasample-to-answerSARS-CoV-2

Identifiers

PMID39282013
PMCPMC11391883

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.