Evidence map›Paper›PMID 38004958›Full record

ArticleMicromachines2023

Maximising Affordability of Real-Time Colorimetric LAMP Assays.

Simon Strachan, Moutoshi Chakraborty, Mohamed Sallam, Shamsul A Bhuiyan, Rebecca Ford, Nam-Trung Nguyen

Abstract read
In one paragraph

Article in Micromachines, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. A colorimetric amplification-based method for identification ofBiochemistry and biophysics reports · 2026
    Article
  3. Review
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

6 authors.

Simon StrachanSchool of Environment and Science, Griffith University, Nathan Campus, Brisbane, QLD 4111, Australia.ORCID 0000-0001-8498-4331
Moutoshi ChakrabortySchool of Environment and Science, Griffith University, Nathan Campus, Brisbane, QLD 4111, Australia.
Mohamed SallamSchool of Environment and Science, Griffith University, Nathan Campus, Brisbane, QLD 4111, Australia.ORCID 0000-0003-1164-3725
Shamsul A BhuiyanQueensland Micro- and Nanotechnology Centre (QMNC), Griffith University, Nathan Campus, Brisbane, QLD 4111, Australia.ORCID 0000-0001-7245-670X
Rebecca FordSchool of Environment and Science, Griffith University, Nathan Campus, Brisbane, QLD 4111, Australia.ORCID 0000-0002-4192-0706
Nam-Trung NguyenQueensland Micro- and Nanotechnology Centre (QMNC), Griffith University, Nathan Campus, Brisbane, QLD 4111, Australia.ORCID 0000-0003-3626-5361

Funding

Australian Research Council LP200100016
6 · The paper itself

Abstract

Molecular diagnostics have become indispensable in healthcare, agriculture, and environmental monitoring. This diagnostic form can offer rapid and precise identification of pathogens and biomarkers. However, traditional laboratory-based molecular testing methods can be expensive and require specialised training, limiting their accessibility in resource-limited settings and on-site applications. To overcome these challenges, this study proposes an innovative approach to reducing costs and complexity in portable colorimetric loop-mediated isothermal amplification (LAMP) devices. The research evaluates different resistive heating systems to create an energy-efficient, cost-effective, and compact device to heat a polydimethylsiloxane (PDMS) block for precise temperature control during LAMP reactions. By combining this novel heating system with an off-the-shelf red-green-blue (RGB) sensor to detect and quantify colour changes, the integrated system can accurately detect

Indexed as

LAMPon-site diagnosticsportable deviceprecision agriculture

Identifiers

PMID38004958
PMCPMC10673270

What OpenQuestion holds

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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.