Evidence map›Paper›PMID 42797103›Full record

ArticlePolymers2026

Chemical Variability of Recycled PET Bottles Driven by Packaging Inputs and Processing History: A Marker-Based Multivariate Approach.

Helena Raclavská, Marek Kucbel, Jana Růžičková, Barbora Švédová, Pavel Kantor, Karolina Slamová, Fabrizio Scala

Abstract read
In one paragraph

Article in Polymers, 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
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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

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

7 authors.

Helena RaclavskáENET Centre, Centre for Energy and Environmental Technologies, VSB-Technical University of Ostrava, 17. Listopadu 15/2172, 708 00 Ostrava, Czech Republic.ORCID 0000-0001-8220-5883
Marek KucbelENET Centre, Centre for Energy and Environmental Technologies, VSB-Technical University of Ostrava, 17. Listopadu 15/2172, 708 00 Ostrava, Czech Republic.ORCID 0000-0002-7074-1053
Jana RůžičkováENET Centre, Centre for Energy and Environmental Technologies, VSB-Technical University of Ostrava, 17. Listopadu 15/2172, 708 00 Ostrava, Czech Republic.
Barbora ŠvédováENET Centre, Centre for Energy and Environmental Technologies, VSB-Technical University of Ostrava, 17. Listopadu 15/2172, 708 00 Ostrava, Czech Republic.ORCID 0000-0001-6199-5740
Pavel KantorENET Centre, Centre for Energy and Environmental Technologies, VSB-Technical University of Ostrava, 17. Listopadu 15/2172, 708 00 Ostrava, Czech Republic.ORCID 0000-0002-9549-8379
Karolina SlamováInstitute of Foreign Languages, VSB-Technical University of Ostrava, 17. Listopadu 15/2172, 708 00 Ostrava, Czech Republic.ORCID 0009-0001-5367-4039
Fabrizio ScalaDepartment of Chemical, Materials and Industrial Production Engineering, University of Naples Federico II, 80125 Naples, Italy.ORCID 0000-0003-1239-453X

Funding

Ministry of Education Youth and Sports CZ.02.01.01/00/23_021/0008590 Waste as an alternative source of energy
6 · The paper itself

Abstract

Recycled polyethylene terephthalate (rPET) intended for food-contact applications contains complex mixtures of non-intentionally added substances (NIAS) originating from polymer degradation, recycling, packaging-related inputs, and external contamination. Although non-targeted analytical techniques can characterise these complex chemical fingerprints, a standardised framework for their systematic interpretation is lacking. This study introduces a literature-informed, pattern-based framework for interpreting Py-GC/MS fingerprints of commercial PET bottles. Twenty-two commercial PET beverage bottles were analysed by pyrolysis-gas chromatography-mass spectrometry (Py-GC/MS), and detected compounds were organised into four diagnostic profile groups: PET transformation products (C-PET), packaging-associated compounds (E-PS/PVC/FCM), mixed-origin compounds (M-MIX), and condensed aromatic structures (A-AROM). Principal component analysis and a composite Quality Index (QI) were used to evaluate chemical variability. PET transformation products formed a consistent chemical baseline across all samples, whereas chemical variability was primarily associated with packaging-associated compounds and condensed aromatic structures. Bottles containing 100% rPET spanned the full range of chemical profiles, suggesting that the observed variability may be influenced more strongly by feedstock quality, packaging-related inputs, and processing history than by declared recycled content alone. The proposed framework enables a systematic interpretation of Py-GC/MS fingerprints through diagnostic chemical patterns rather than unique source attribution of individual compounds. The proposed framework provides a scalable methodology for comparative evaluation of recycled PET. It highlights that improving chemical quality requires controlling feedstock purity, packaging-related contamination, and processing conditions rather than relying solely on recycled content.

Indexed as

food contact materialsNIASpackaging contaminationPET bottlesrecycled PET (rPET)

Identifiers

PMID42797103
PMCPMC13611611

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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.