Evidence map›Paper›PMID 40297981›Full record

ArticleEnvironmental science & technology2025

Fast Detection and Classification of Microplastics by a Wide-Field Fourier Transform Raman Microscope.

Benedetto Ardini, Lucia Pittura, Andrea Frontini, Maura Benedetti, Stefania Gorbi, Francesco Regoli, Giulio Cerullo, Gianluca Valentini, Cristian Manzoni

Abstract read
In one paragraph

Article in Environmental science & technology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Article
  2. Review
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  5. Review
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

9 authors.

Benedetto ArdiniDipartimento di Fisica, Politecnico di Milano, Piazza Leonardo da Vinci 32, Milano20133, Italy.ORCID 0000-0003-2188-5867
Lucia PitturaDipartimento di Scienze della Vita e dell'Ambiente, Università Politecnica delle Marche, Ancona 60131, Italy.
Andrea FrontiniDipartimento di Scienze della Vita e dell'Ambiente, Università Politecnica delle Marche, Ancona 60131, Italy.ORCID 0000-0002-7381-4107
Maura BenedettiDipartimento di Scienze della Vita e dell'Ambiente, Università Politecnica delle Marche, Ancona 60131, Italy.
Stefania GorbiDipartimento di Scienze della Vita e dell'Ambiente, Università Politecnica delle Marche, Ancona 60131, Italy.
Francesco RegoliDipartimento di Scienze della Vita e dell'Ambiente, Università Politecnica delle Marche, Ancona 60131, Italy.
Giulio CerulloDipartimento di Fisica, Politecnico di Milano, Piazza Leonardo da Vinci 32, Milano20133, Italy.ORCID 0000-0002-9534-2702
Gianluca ValentiniDipartimento di Fisica, Politecnico di Milano, Piazza Leonardo da Vinci 32, Milano20133, Italy.ORCID 0000-0002-6340-3021
Cristian ManzoniIFN-CNR, Istituto di Fotonica e Nanotecnologie, Piazza Leonardo da Vinci 32, Milano20133, Italy.ORCID 0000-0002-4169-8869

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

A number of applications require methods to detect with high spatial resolution and chemical specificity microplastics (MPs) extracted from different matrices. Here we introduce a wide-field hyperspectral Fourier transform Raman microscope for the rapid detection and identification of MPs. The instrument, based on a common-path birefringent interferometer, combines high spatial (∼1 μm) and spectral (∼23 cm

Indexed as

MicroplasticsMicroscopySpectrum Analysis, RamanWater Pollutants, ChemicalAnimalsEnvironmental MonitoringFishesFourier AnalysisSeawaterMicroplasticsWater Pollutants, Chemicalenvironmental microplasticsFourier transform spectroscopyhyperspectral microscopymicroplasticsRaman microscopywide-field microscopy

Identifiers

PMID40297981
PMCPMC12080255

What OpenQuestion holds

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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.