Evidence map›Paper›PMID 40096217›Full record

ArticleSensors (Basel, Switzerland)2025

Flow Raman Spectroscopy for the Detection and Identification of Small Microplastics.

Alexander Kissel, André Nogowski, Alwin Kienle, Florian Foschum

Abstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. 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

4 authors.

Alexander KisselInstitut für Lasertechnologien in der Medizin und Meßtechnik an der Universität Ulm (ILM), Helmholtzstr. 12, 89081 Ulm, Germany.ORCID 0009-0000-3804-0903
André NogowskiSKZ-KFE gGmbH, Europäisches Zentrum für Dispersionstechnologien (EZD), Weissenbacher Str. 86, 95100 Selb, Germany.
Alwin KienleInstitut für Lasertechnologien in der Medizin und Meßtechnik an der Universität Ulm (ILM), Helmholtzstr. 12, 89081 Ulm, Germany.ORCID 0000-0001-7220-1416
Florian FoschumInstitut für Lasertechnologien in der Medizin und Meßtechnik an der Universität Ulm (ILM), Helmholtzstr. 12, 89081 Ulm, Germany.ORCID 0009-0004-3069-715X

Funding

Arbeitsgemeinschaft industrielle Forschung 21901 N
6 · The paper itself

Abstract

The most commonly used methods for the detection and identification of small microplastics generally require a complex sample preparation procedure and only allow for static measurements. Quality control of food and drinking water therefore requires a lot of effort. Especially in view of the increasing amount of plastic waste in the environment, the rising public awareness of the issue and the indications for adverse effects of microplastics on human health, more sophisticated measuring methods are required. In this paper, we present a measuring setup for the detection and identification of microplastics using flow Raman spectroscopy. We demonstrate the ability to acquire Raman spectra of individual particles as small as about 4 µm, enabling the identification of their plastic type. We show measurements of differently generated and shaped particles and particles made of different plastic types, highlighting the observed challenges and differences. Finally, we show possible applications of the measuring method. We demonstrate that the measuring principle is suitable for detecting and identifying microplastic particles among other particles and that aged plastics can still be distinguished by their Raman spectra. Overall, our results show that flow Raman spectroscopy is a promising method that could significantly reduce the effort required to detect microplastics.

Indexed as

microplasticparticle analysisRaman spectroscopywater

Identifiers

PMID40096217
PMCPMC11902776

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.