Evidence map›Paper›PMID 35527854›Full record

ArticleRSC advances2019

A simple, robust and equipment-free DNA amplification readout in less than 30 seconds.

Michael Glenn Mason, José Ramón Botella

Open access · goldAbstract read
In one paragraph

Article in RSC advances, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
1.5field-weighted citation impact, top 19% 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

11 citing papers in PubMed, 28 citations in OpenAlex.

  1. Super-Fast Detection ofFoods (Basel, Switzerland) · 2025
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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

2 authors at 1 institution in 2 countries.

Michael Glenn MasonPlant Genetic Engineering Laboratory, School of Agriculture and Food Sciences, The University of Queensland St. Lucia QLD 4072 Australia j.botella@uq.edu.au Michael.Mason@uq.edu.au +61 7 33651699 +61 7 33651128 +61 7 33459172.ORCID https://orcid.org/0000-0001-5860-7989
José Ramón BotellaPlant Genetic Engineering Laboratory, School of Agriculture and Food Sciences, The University of Queensland St. Lucia QLD 4072 Australia j.botella@uq.edu.au Michael.Mason@uq.edu.au +61 7 33651699 +61 7 33651128 +61 7 33459172.
The University of Queensland · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Molecular based diagnostic methods rely on the amplification of pathogen DNA but naked eye visualization of results is still challenging. We present here a simple and highly reliable DNA amplification readout system for naked eye detection of isothermally or PCR amplified DNA in less than 30 seconds. This system utilizes spermine to precipitate DNA amplicons and initiate bridging flocculation of a mix of charcoal and diatomaceous earth particles in suspension. In the absence of amplification, the charcoal particles remain suspended resulting in a black, non-transparent colloid solution while positive samples in which DNA amplification has occurred can be identified within seconds as the particles flocculate and settle leaving a transparent liquid phase. We have coupled this method with our rapid dipstick DNA purification method and isothermal DNA amplification to create a simple four-step diagnostic system that can be preassembled to reduce unnecessary manipulation in the field. The method's simplicity, low cost, minimal equipment and clear presence/absence readout makes it ideal for rapid diagnostic testing in the laboratory and in situations where users have limited technical training or resources including high school science classes and field-based research.

Identifiers

PMID35527854
PMCPMC9069613
OpenAlexW2964807652

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.