Evidence map›Paper›PMID 37430517›Full record

ArticleSensors (Basel, Switzerland)2023

Low-Cost, Real-Time Polymerase Chain Reaction System with Integrated RNA Extraction.

Tchamie Kadja, Yvonne Sun, Vamsy P Chodavarapu

Open access · goldAbstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.6field-weighted citation impact, top 35% 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

1 citing paper in PubMed, 3 citations in OpenAlex.

  1. Notch2 Directs aTreg Cell Fate Toward Immunoregulation or Inflammatory Pyroptosis.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026
    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

3 authors at 1 institution in 1 country.

Tchamie KadjaDepartment of Electrical and Computer Engineering, University of Dayton, 300 College Park, Dayton, OH 45469, USA.ORCID 0000-0003-3152-3771
Yvonne SunDepartment of Biology, University of Dayton, 300 College Park, Dayton, OH 45469, USA.
Vamsy P ChodavarapuDepartment of Electrical and Computer Engineering, University of Dayton, 300 College Park, Dayton, OH 45469, USA.
University of Dayton · US

Funding

University of Dayton School of Engineering
6 · The paper itself

Abstract

Rapid, easy-to-use, and low-cost systems for biological sample testing are important for point-of-care diagnostics and various other health applications. The recent pandemic of Coronavirus Disease 2019 (COVID-19) caused by the Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) showed an urgent need to rapidly and accurately identify the genetic material of SARS-CoV-2, an enveloped ribonucleic acid (RNA) virus, in upper respiratory specimens from people. In general, sensitive testing methods require genetic material extraction from the specimen. Unfortunately, current commercially available extraction kits are expensive and involve time-consuming and laborious extraction procedures. To overcome the difficulties associated with common extraction methods, we propose a simple enzymatic assay for the nucleic acid extraction step using heat mediation to improve the polymerase chain reaction (PCR) reaction sensitivity. Our protocol was tested on Human Coronavirus 229E (HCoV-229E) as an example, which comes from the large

Indexed as

COVID-19Nucleic AcidsAnimalsCOVID-19 TestingHumansMammalsReal-Time Polymerase Chain ReactionRNASARS-CoV-2Nucleic AcidsRNACOVID-19fluorescence sensingfood and water qualitypoint-of-care diagnosticspolymerase chain reaction (PCR)real-time PCRRNA extraction

Identifiers

PMID37430517
PMCPMC10222576
OpenAlexW4382749211

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.