Evidence map›Paper›PMID 38496351›Full record

ArticleEnvironmental science. Nano2024

Submicron- and nanoplastic detection at low micro- to nanogram concentrations using gold nanostar-based surface-enhanced Raman scattering (SERS) substrates.

Jessica Caldwell, Patricia Taladriz-Blanco, Laura Rodriguez-Lorenzo, Barbara Rothen-Rutishauser, Alke Petri-Fink

Abstract read
In one paragraph

Article in Environmental science. Nano, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

  1. Microplastics and Nanoplastics in Food: Dietary Toxicology Beyond Particle Counts.Comprehensive reviews in food science and food safety · 2026
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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.

Jessica CaldwellAdolphe Merkle Institute, University of Fribourg Chemin des Verdiers 4 1700 Fribourg Switzerland alke.fink@unifr.ch.ORCID https://orcid.org/0000-0002-2333-2679
Patricia Taladriz-BlancoWater Quality Group, International Iberian Nanotechnology Laboratory (INL) Av. Mestre Jose Veiga s/n 4715-330 Braga Portugal patricia.taladrizblanco@unifr.ch.ORCID https://orcid.org/0000-0002-2469-9704
Laura Rodriguez-LorenzoWater Quality Group, International Iberian Nanotechnology Laboratory (INL) Av. Mestre Jose Veiga s/n 4715-330 Braga Portugal patricia.taladrizblanco@unifr.ch.ORCID https://orcid.org/0000-0002-0315-7981
Barbara Rothen-RutishauserAdolphe Merkle Institute, University of Fribourg Chemin des Verdiers 4 1700 Fribourg Switzerland alke.fink@unifr.ch.ORCID https://orcid.org/0000-0002-7805-9366
Alke Petri-FinkAdolphe Merkle Institute, University of Fribourg Chemin des Verdiers 4 1700 Fribourg Switzerland alke.fink@unifr.ch.ORCID https://orcid.org/0000-0003-3952-7849

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The presence of submicron- (1 μm-100 nm) and nanoplastic (<100 nm) particles within various sample matrices, ranging from marine environments to foods and beverages, has become a topic of increasing interest in recent years. Despite this interest, very few analytical techniques are known that allow for the detection of these small plastic particles in the low concentration ranges that they are anticipated to be present at. Research focused on optimizing surface-enhanced Raman scattering (SERS) to enhance signal obtained in Raman spectroscopy has been shown to have great potential for the detection of plastic particles below conventional resolution limits. In this study, we produce SERS substrates composed of gold nanostars and assess their potential for submicron- and nanoplastic detection. The results show 33 nm polystyrene could be detected down to 1.25 μg mL

Identifiers

PMID38496351
PMCPMC10939171

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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.