Evidence map›Paper›PMID 40820022›Full record

ArticleScientific reports2025

Characterization of nanoplastics and small-sized microplastics in sewage treatment.

Shaima Iskandarani, Sarvajith Manjunath, Rosa Busquets, Lorenzo Raeli, Pascal E Saikaly, Luiza C Campos

Abstract read
In one paragraph

Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Review
  2. Investigations into the flocculent settling of microplastics.Water science and technology : a journal of the International Association on Water Pollution Research · 2026
    Article
  3. Review
  4. Article
  5. Article
  6. 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

6 authors.

Shaima Iskandarani *Centre for Urban Sustainability and Resilience, Department of Civil, Environmental and Geomatic Engineering, University College London, Gower St, Bloomsbury, London, WC1E 6BT, UK.
Sarvajith Manjunath *Biological and Environmental Science and Engineering (BESE) Division, King Abdullah University of Science and Technology (KAUST), Thuwal, 23955-6900, Kingdom of Saudi Arabia.
Rosa BusquetsCentre for Urban Sustainability and Resilience, Department of Civil, Environmental and Geomatic Engineering, University College London, Gower St, Bloomsbury, London, WC1E 6BT, UK.
Lorenzo RaeliBioscience Core Lab, KAUST, Thuwal, 23955-6900, Kingdom of Saudi Arabia.
Pascal E SaikalyBiological and Environmental Science and Engineering (BESE) Division, King Abdullah University of Science and Technology (KAUST), Thuwal, 23955-6900, Kingdom of Saudi Arabia. pascal.saikaly@kaust.edu.sa.
Luiza C CamposCentre for Urban Sustainability and Resilience, Department of Civil, Environmental and Geomatic Engineering, University College London, Gower St, Bloomsbury, London, WC1E 6BT, UK. l.campos@ucl.ac.uk.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The presence of nanoplastics (NPs) in sewage treatment plants (STPs) remains a critical yet underexplored environmental issue. Here, we present a novel investigation into the occurrence, recovery, and characterization of nanoplastics and small-size microplastics (50-2500 nm) in raw and treated sewage effluent from a full-scale STP (treating 4000 m

Indexed as

MicroplasticsNanoparticlesSewageWater Pollutants, ChemicalParticle SizeSaudi ArabiaWaste Disposal, FluidWastewaterWater PurificationMicroplasticsSewageWastewaterWater Pollutants, ChemicalConfocal RamanNano-flow cytometrySewage treatment plantTreated sewage effluentWastewater

Identifiers

PMID40820022
PMCPMC12358546

What OpenQuestion holds

Textmetadata
LicenceCC BY
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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 OpenQuestion graph.