Evidence map›Paper›PMID 42567860›Full record

ArticleNature communications2026

All-optical Mie void sensor for complex nanoplastic mixtures.

Dominik Ludescher, Julian Schwab, Serkan Arslan, Evelyn Kubacki, Monika Ubl, Markus Retsch, Harald Giessen, Mario Hentschel

Abstract read
In one paragraph

Article in Nature communications, 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

8 authors.

Dominik Ludescher4ᵗʰ Physics Institute and Research Center SCoPE, University of Stuttgart, Stuttgart, Germany. d.ludescher@pi4.uni-stuttgart.de.ORCID http://orcid.org/0009-0008-8508-0412
Julian Schwab4ᵗʰ Physics Institute and Research Center SCoPE, University of Stuttgart, Stuttgart, Germany.ORCID http://orcid.org/0000-0003-3749-6145
Serkan Arslan4ᵗʰ Physics Institute and Research Center SCoPE, University of Stuttgart, Stuttgart, Germany.ORCID http://orcid.org/0009-0001-3357-1972
Evelyn KubackiDepartment of Chemistry, Physical Chemistry I, University of Bayreuth, Bayreuth, Germany.
Monika Ubl4ᵗʰ Physics Institute and Research Center SCoPE, University of Stuttgart, Stuttgart, Germany.
Markus RetschDepartment of Chemistry, Physical Chemistry I, University of Bayreuth, Bayreuth, Germany.ORCID http://orcid.org/0000-0003-2629-8450
Harald Giessen4ᵗʰ Physics Institute and Research Center SCoPE, University of Stuttgart, Stuttgart, Germany.ORCID http://orcid.org/0000-0002-4270-3850
Mario Hentschel4ᵗʰ Physics Institute and Research Center SCoPE, University of Stuttgart, Stuttgart, Germany. m.hentschel@pi4.uni-stuttgart.de.ORCID http://orcid.org/0000-0002-6882-4183

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The fragmentation and direct release of plastic debris have emerged as a pressing ecological concern. Once dispersed, these particles infiltrate food webs, accumulate within organisms, and bind toxic co-contaminants, posing long-term risks to ecosystems and human health. Despite growing awareness, the characterization of nanoplastics remains highly challenging. Moreover, obtaining additional information, such as particle shape or material composition, further exacerbates these detection hurdles. Here, we introduce a photonic sensing platform based on nanoscale voids that enables the simultaneous material- and morphology-sensitive detection of particles below 500 nm. Void arrays embedded in a high-refractive-index material act in parallel as both sorting elements and color reporters. Spherical and elongated particles are selectively trapped in circular and elliptical voids, while different polymer types are distinguished simultaneously. This approach offers a scalable route toward optical identification of nanoplastics in environmental settings. Its compatibility with high-throughput analysis positions it as a promising tool for real-time studies.

Identifiers

PMID42567860
PMCPMC13451325

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.