Evidence map›Paper›PMID 41390853›Full record

ArticleScientific reports2025

A peak comparison index approach for robust microplastic analysis across environmental matrices: validation using meat products.

Saber Entezari, Hossein Ganjidoust, Yadollah Yamini, Bita Ayati

Abstract read
PubMed Full text at PMC Publisher
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. 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

4 authors.

Saber EntezariEnvironmental Engineering Department, Civil and Environmental Engineering Faculty, Tarbiat Modares University, Tehran, Iran.
Hossein GanjidoustEnvironmental Engineering Department, Civil and Environmental Engineering Faculty, Tarbiat Modares University, Tehran, Iran. h-ganji@modares.ac.ir.
Yadollah YaminiChemistry Department, Science Faculty, Tarbiat Modares University, Tehran, Iran.
Bita AyatiEnvironmental Engineering Department, Civil and Environmental Engineering Faculty, Tarbiat Modares University, Tehran, Iran.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Microplastic contamination in food products raises significant concerns regarding human health and environmental safety, necessitating accurate detection methodologies for complex organic matrices. This study presents an effective framework for microplastic detection in meat by systematically evaluating four chemical digestion methods: hydrogen peroxide (H

Indexed as

Food ContaminationMeat ProductsMicroplasticsAnimalsHydrochloric AcidHydrogen PeroxidePolyvinyl ChlorideSodium HydroxideHydrochloric AcidHydrogen PeroxideMicroplasticsPolyvinyl ChlorideSodium HydroxideDigestionFourier transform infrared spectroscopyMeat productsMicroplasticsPeak comparison index

Identifiers

PMID41390853
PMCPMC12800216

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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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.