Evidence map›Paper›PMID 39940496›Full record

ArticlePolymers2025

Polyethylene Transformation Chain: Evaluation of Migratable Compounds.

Patricia Vázquez-Loureiro, Nuria García-Batista, Antonio Morreale, Raquel Llorens-Chiralt, Hernando Villar, Beatriz Bacaicoa, Ana Rodríguez Bernaldo de Quirós, Raquel Sendón

Abstract read
In one paragraph

Article in Polymers, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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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

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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

8 authors.

Patricia Vázquez-LoureiroDepartment of Analytical Chemistry, Nutrition and Food Science, Faculty of Pharmacy, University of Santiago de Compostela, 15782 Santiago de Compostela, Spain.ORCID 0000-0002-5479-9642
Nuria García-BatistaAIMPLAS, Plastics Technology Centre, Gustave Eiffel, 4, 46980 Paterna, Spain.ORCID 0000-0002-1463-0543
Antonio MorrealeRepsol Química, S.A., Agustín de Betancourt, s/n, 28935 Móstoles, Spain.
Raquel Llorens-ChiraltAIMPLAS, Plastics Technology Centre, Gustave Eiffel, 4, 46980 Paterna, Spain.
Hernando VillarBacaicoa, Carretera Pamplona-Irún, km. 6,7, 31194 Oricain, Spain.
Beatriz BacaicoaBacaicoa, Carretera Pamplona-Irún, km. 6,7, 31194 Oricain, Spain.
Ana Rodríguez Bernaldo de QuirósDepartment of Analytical Chemistry, Nutrition and Food Science, Faculty of Pharmacy, University of Santiago de Compostela, 15782 Santiago de Compostela, Spain.ORCID 0000-0002-7551-2727
Raquel SendónDepartment of Analytical Chemistry, Nutrition and Food Science, Faculty of Pharmacy, University of Santiago de Compostela, 15782 Santiago de Compostela, Spain.ORCID 0000-0003-0623-4409

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Polyethylene (PE) is a widely used material for packaging food. However, certain additives and their degradation products, which may be generated during transformation processes, may pose risks to consumers health if they migrate into food at levels exceeding safety thresholds. Therefore, identifying and quantifying these potential migrant compounds is crucial to ensuring consumer safety. In the present work, PE films and the raw materials used in their production were kindly provided by the industry to evaluate undesired compounds throughout the PE transformation chain. For that purpose, volatile and semi-volatile organic compounds were evaluated using gas chromatography coupled to mass spectrometry (GC-MS). Alkanes were identified as the most abundant compounds, along with antioxidants, lubricants, or Non-Intentionally Added Substances (NIAS), like 7,9-di-tert-butyl-1-oxaspiro(4,5)deca-6,9-diene-2,8-dione in the films. For the unidentified compounds, evaluations were conducted at various stages of the transformation chain, and migration assays were performed to assess their behavior.

Indexed as

GC-MSNIASPE filmspolyethyleneP&T-GC-MS

Identifiers

PMID39940496
PMCPMC11820990

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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.