Evidence map›Paper›PMID 41976477›Full record

ArticleFoods (Basel, Switzerland)2026

Development of a Risk Matrix for Assessing PFAS in Food Packaging.

Katja Wack, Silvia Apprich, Johannes Bergmair, Manfred Tacker

Abstract read
In one paragraph

Article in Foods (Basel, Switzerland), 2026. 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.

Katja WackCircular Analytics TK GmbH, Canovagasse 7/14, 1010 Vienna, Austria.ORCID 0009-0003-6839-857X
Silvia ApprichDepartment Applied Life Sciences, University of Applied Sciences, Favoritenstraße 226, 1100 Vienna, Austria.ORCID 0000-0002-3514-7227
Johannes BergmairWorld Packaging Organization, Canovagasse 7/14, 1010 Vienna, Austria.
Manfred TackerCircular Analytics TK GmbH, Canovagasse 7/14, 1010 Vienna, Austria.ORCID 0009-0004-6034-1277

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The minimisation of substances of concern in packaging is a key objective of the European Union's Packaging and Packaging Waste Regulation (PPWR), complementing existing legislation governing the safety of food contact materials. Per- and polyfluoroalkyl substances (PFAS) present particular challenges due to their persistence, chemical diversity, and documented use in certain food contact materials. Article 5 of the PPWR requires packaging to be designed and manufactured to minimise such substances throughout the life cycle. This study develops a structured, material-based PFAS risk matrix to support compliance screening for food packaging under Article 5. The approach combines scientific evidence on PFAS occurrence, functional applications, and analytical detection with material classification systems used in recyclability assessments. Packaging materials are categorised by their likelihood of PFAS relevance, enabling proportionate prioritisation of efforts. Application of the matrix shows that fibre-based materials with grease- or water-resistant treatments exhibit higher relevance than glass, untreated paper, or polyethylene terephthalate (PET). The framework also clarifies the role of total fluorine (TF) and extractable organic fluorine (EOF) as supportive, material-specific indicators rather than standalone compliance metrics. By integrating PFAS considerations into design, sourcing, and portfolio management, the framework promotes proactive chemical risk governance aligned with circular economy objectives.

Indexed as

circular economyfood contact materialspackagingPFASPPWRPPWR compliancerisk matrixsubstances of concern

Identifiers

PMID41976477
PMCPMC13074049

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

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.