Evidence map›Paper›PMID 37265396›Full record

ArticleThe Analyst2023

A dual paper-based nucleic acid extraction method from blood in under ten minutes for point-of-care diagnostics.

Kenny Malpartida-Cardenas, Jake Baum, Aubrey Cunnington, Pantelis Georgiou, Jesus Rodriguez-Manzano

Open access · hybridAbstract read
In one paragraph

Article in The Analyst, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
1.9field-weighted citation impact, top 15% 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

10 citing papers in PubMed, 17 citations in OpenAlex.

  1. Article
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  6. Material-to-Application Integration: Rapid Fabrication of Field-Deployable Hydrogel-SiOAdvanced science (Weinheim, Baden-Wurttemberg, Germany) · 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

5 authors at 2 institutions in 2 countries.

Kenny Malpartida-CardenasDepartment of Infectious Disease, Faculty of Medicine, Imperial College London, UK. j.rodriguez-manzano@imperial.ac.uk.ORCID http://orcid.org/0000-0002-3874-8810
Jake BaumDepartment of Life Sciences, Faculty of Natural Sciences, Imperial College London, UK.
Aubrey CunningtonDepartment of Infectious Disease, Faculty of Medicine, Imperial College London, UK. j.rodriguez-manzano@imperial.ac.uk.
Pantelis GeorgiouDepartment of Electrical and Electronic Engineering, Faculty of Engineering, Imperial College London, UK.
Jesus Rodriguez-ManzanoDepartment of Infectious Disease, Faculty of Medicine, Imperial College London, UK. j.rodriguez-manzano@imperial.ac.uk.
Imperial College London · GBUNSW Sydney · AU

Funding

Wellcome Trust
6 · The paper itself

Abstract

Nucleic acid extraction (NAE) plays a crucial role for diagnostic testing procedures. For decades, dried blood spots (DBS) have been used for serology, drug monitoring, and molecular studies. However, extracting nucleic acids from DBS remains a significant challenge, especially when attempting to implement these applications to the point-of-care (POC). To address this issue, we have developed a paper-based NAE method using cellulose filter papers (DBSFP) that operates without the need for electricity (at room temperature). Our method allows for NAE in less than 7 min, and it involves grade 3 filter paper pre-treated with 8% (v/v) igepal surfactant, 1 min washing step with 1× PBS, and 5 min incubation at room temperature in 1× TE buffer. The performance of the methodology was assessed with loop-mediated isothermal amplification (LAMP), targeting the human reference gene beta-actin and the

Indexed as

Hematologic TestsPoint-of-Care SystemsActinsColorimetryHumansMalaria, FalciparumNucleic Acid Amplification TechniquesNucleic AcidsPlasmodium falciparumActinsNucleic Acids

Identifiers

PMID37265396
PMCPMC10291277
OpenAlexW4379093320

What Socratic 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 Socratic graph.