Evidence map›Paper›PMID 40890109›Full record

ArticleNature communications2025

Towards ultra-sensitive and rapid near-source wastewater-based epidemiology.

Da Huang, Alyssa Thomas DeCruz, Dounia Cherkaoui, Benjamin Miller, Diluka Peiris, Samuel Hopgood, Jessica Kevill, Kata Farkas, Rachel Williams, Davey L Jones and 1 more

Abstract read
In one paragraph

Article in Nature communications, 2025. 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
–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

1 citing paper in PubMed.

  1. 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

11 authors.

Da HuangLondon Centre for Nanotechnology, University College London, London, WC1H 0AH, UK. d.huang@ucl.ac.uk.ORCID http://orcid.org/0000-0002-3219-5565
Alyssa Thomas DeCruzLondon Centre for Nanotechnology, University College London, London, WC1H 0AH, UK.ORCID http://orcid.org/0009-0006-9506-7575
Dounia CherkaouiLondon Centre for Nanotechnology, University College London, London, WC1H 0AH, UK.
Benjamin MillerLondon Centre for Nanotechnology, University College London, London, WC1H 0AH, UK. ben.miller@ucl.ac.uk.
Diluka PeirisLondon Centre for Nanotechnology, University College London, London, WC1H 0AH, UK.
Samuel HopgoodLondon Centre for Nanotechnology, University College London, London, WC1H 0AH, UK.
Jessica KevillSchool of Environmental and Natural Sciences, Bangor University, Bangor, Gwynedd, LL57 2UW, UK.
Kata FarkasSchool of Environmental and Natural Sciences, Bangor University, Bangor, Gwynedd, LL57 2UW, UK.
Rachel WilliamsSchool of Environmental and Natural Sciences, Bangor University, Bangor, Gwynedd, LL57 2UW, UK.
Davey L JonesSchool of Environmental and Natural Sciences, Bangor University, Bangor, Gwynedd, LL57 2UW, UK.ORCID http://orcid.org/0000-0002-1482-4209
Rachel A McKendryLondon Centre for Nanotechnology, University College London, London, WC1H 0AH, UK. r.a.mckendry@ucl.ac.uk.ORCID http://orcid.org/0000-0003-2018-6829

Funding

RCUK | Engineering and Physical Sciences Research Council (EPSRC) EP/R00529X/1RCUK | Engineering and Physical Sciences Research Council (EPSRC) EP/R018707/1RCUK | Engineering and Physical Sciences Research Council (EPSRC) EP/X031276/1
6 · The paper itself

Abstract

Wastewater-based epidemiology is emerging as a powerful early-warning public health surveillance tool. However, gold-standard PCR necessitates transporting samples to laboratories, with significant reporting delays (24-72 h), prompting growing interest in rapid, near-source tests for resource-limited settings. Research has focused on gold nanoparticle dipsticks, but these typically lack sensitivity in wastewater. Herein, we explore two complementary nanomaterial based approaches, using SARS-CoV-2 as an exemplar: 1) visually-read carbon black dipsticks; 2) spin-enhanced fluorescent nanodiamond dipsticks, exploiting selective separation from background autofluorescence. The assay provides a 2-hour turnaround from sample preparation to result with minimal equipment and achieves a limit of detection down to 7 copies per assay. A pilot study with samples from the Welsh National WBE programme finds 80% sensitivity and 100% specificity for carbon black, and 100% sensitivity, specificity for nanodiamonds. A proof-of-concept lab-in-a-suitcase nanodiamond assay tests raw, unprocessed wastewater samples. These findings lay the foundations for near-source WBE early-warning quantum sensors in the environment.

Indexed as

COVID-19SARS-CoV-2WastewaterWastewater-Based Epidemiological MonitoringHumansMetal NanoparticlesNanodiamondsPilot ProjectsSensitivity and SpecificityNanodiamondsWastewater

Identifiers

PMID40890109
PMCPMC12402315

What OpenQuestion holds

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LicenceCC BY
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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.