Evidence map›Paper›PMID 42208590›Full record

ArticleAdvanced science (Weinheim, Baden-Wurttemberg, Germany)2026

In Vivo Microplastic Detection With Photoacoustic Imaging.

Joseph C Bear, Olumide Ogunlade, Jayvian Mavi, Emily J Deniszczyc, Daolong Chen, Heeva Javaheri, Paul Beard, Mark F Lythgoe, Daniel J Stuckey, P Stephen Patrick

Abstract read
In one paragraph

Article in Advanced science (Weinheim, Baden-Wurttemberg, Germany), 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

10 authors.

Joseph C BearSchool of Life Sciences, Pharmacy & Chemistry, Kingston University, Kingston upon Thames, UK.ORCID https://orcid.org/0000-0001-6504-4723
Olumide OgunladeDepartment of Cardiovascular Sciences, School of Medical Sciences, College of Medicine and Health & Department of Electronic, Electrical and Systems Engineering, School of Engineering, College of Engineering and Physical Sciences, University of Birmingham, Edgbaston, Birmingham, UK.
Jayvian MaviCentre for Advanced Biomedical Imaging, Division of Medicine, University College London, London, UK.
Emily J DeniszczycCentre for Advanced Biomedical Imaging, Division of Medicine, University College London, London, UK.
Daolong ChenCentre for Advanced Biomedical Imaging, Division of Medicine, University College London, London, UK.
Heeva JavaheriSchool of Life Sciences, Pharmacy & Chemistry, Kingston University, Kingston upon Thames, UK.
Paul BeardDepartment of Medical Physics and Biomedical Engineering, University College London, London, UK.
Mark F LythgoeCentre for Advanced Biomedical Imaging, Division of Medicine, University College London, London, UK.ORCID https://orcid.org/0000-0002-4945-0171
Daniel J StuckeyCentre for Advanced Biomedical Imaging, Division of Medicine, University College London, London, UK.ORCID https://orcid.org/0000-0001-8888-627X
P Stephen PatrickCentre for Advanced Biomedical Imaging, Division of Medicine, University College London, London, UK.ORCID https://orcid.org/0000-0002-7155-1729

Funding

BHF accelerator AA/18/2/34218BHF Centre for Regenerative Medicine MRC MR/R026416/1BHF Centre for Regenerative Medicine RM/17/1/33377British Heart Foundation Intermediate and Senior Basic Science Research Fellowships FS/15/33/31608British Heart Foundation Intermediate and Senior Basic Science Research Fellowships FS/SBSRF/21/31020EPSRC Knowledge Exchange and Innovation Fund EP/R511638/1EPSRC Knowledge Exchange and Innovation Fund EP/TO14369/1ERC Advanced Grant EP/U536775/1MRC MR/R026416/1NIHR Birmingham Biomedical Research Centre NIHR203326Wellcome TrustWellcome Trust multi-user equipment 212937/Z/18/ZWellcome Trust/UCL Devices & Diagnostics Therapeutic Innovation Network Pilot Data fund
6 · The paper itself

Abstract

Microplastics are posing an escalating threat to both ecological systems and human health. Yet, current methods for investigating their bioaccumulation are highly invasive, requiring destructive analysis of ex vivo tissues via mass spectrometry, dye labelling, or Raman microspectroscopy. This limits the study of biodistribution dynamics in preclinical models and human populations, leaving an urgent need for non-invasive alternatives. Meeting this challenge, for the first time in living tissue, the native optical absorption properties of microplastics are exploited to generate photoacoustic signal - imageable ultrasound emission following thermalisation of pulsed laser light. Distinct optical absorption profiles enable microplastic differentiation from endogenous biological signal sources, long-term tracking over 2 months in a mouse model, and microscale resolution of particle features verified histologically. This novel approach overcomes previous limitations of optical and nuclear imaging methods relying on fluorescent dyes or radio-isotopes, going beyond small transparent organisms such as zebrafish or nematodes, and half-life-dependent timescales, respectively. By enabling serial monitoring of microplastic biodistribution dynamics, this technique will help interrogate interacting factors such as ingestion route, microplastic shape, size and polymer type - and their effects on accumulation, degradation, clearance, and disease in animal models, and, ultimately, human subjects.

Indexed as

MicroplasticsPhotoacoustic TechniquesAnimalsHumansMiceTissue DistributionMicroplasticsimagingin vivomicroplasticsoptoacousticsphotoacousticspolymers

Identifiers

PMID42208590
PMCPMC13335746

What Socratic holds

Textmetadata
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 Socratic graph.