Evidence map›Paper›PMID 42622251›Full record

ArticleAngewandte Chemie (International ed. in English)2026

Coupling Exponential Rolling Circle Amplification to Lateral Flow Devices for Point-of-Care Detection of Viral RNA.

Amal Mathai, Monsur Ali, Yingfu Li, John D Brennan

Abstract read
In one paragraph

Article in Angewandte Chemie (International ed. in English), 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Amal MathaiDepartment of Biochemistry and Biomedical Sciences, McMaster University, Hamilton, Ontario, Canada.ORCID https://orcid.org/0000-0001-7066-9672
Monsur AliBiointerfaces Institute, McMaster University, Hamilton, Ontario, Canada.
Yingfu LiDepartment of Biochemistry and Biomedical Sciences, McMaster University, Hamilton, Ontario, Canada.ORCID https://orcid.org/0000-0002-7533-6743
John D BrennanBiointerfaces Institute, McMaster University, Hamilton, Ontario, Canada.ORCID https://orcid.org/0000-0003-3461-9824

Funding

CIHR VR2-172718Natural Sciences and Engineering Research Council of Canada RGPIN-2020-06401Natural Sciences and Engineering Research Council of Canada RGPIN-2024-05666
6 · The paper itself

Abstract

Sensitive detection of viral RNA in biological samples remains challenging because of low viral loads, complex matrices, and RNA secondary structures. Here, we present a heat-free, reverse-transcription-free lateral flow platform that converts structured viral RNA into visual signals through RNase I-mediated primer generation, exponential rolling circle amplification (E-RCA), and toehold-mediated strand displacement (TMSD). The newly developed E-RCA circuit uses a single additional primer, P2, which is extended on primary RCA products and then processed by Φ29 DNA polymerase to generate a feedback primer, enabling rapid exponential amplification from a circular DNA template. RCA products and P2-extended products subsequently trigger a newly designed TMSD module to release bridging DNA strands that generate visible lateral flow signals. Using SARS-CoV-2 as a model, the assay achieved detection limits down to 500 aM, sample-to-result times of approximately 45 min, and 95%-100% accuracy across four viral RNA regions in clinical saliva samples, providing a platform for rapid point-of-care RNA diagnostics.

Indexed as

COVID-19Nucleic Acid Amplification TechniquesPoint-of-Care SystemsRNA, ViralSARS-CoV-2HumansLimit of DetectionRapid Diagnostic TestsRNA, Virallateral flow deviceRNA detectionRNase I digestionrolling circle amplificationtoehold‐mediated strand displacement

Identifiers

PMID42622251
PMCPMC13653579

What OpenQuestion holds

Textmetadata
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.