Evidence map›Paper›PMID 41476511›Full record

ArticleACS omega2025

Inline Analysis of the Plastics Melt Emissions in Real Time During Mechanical Recycling Using the SIFT-MS Method.

Felix Mehrens, Niklas Rode, Jacek Lecinski, Madina Shamsuyeva, Hans-Josef Endres, David Müller

Abstract read
In one paragraph

Article in ACS omega, 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

6 authors.

Felix MehrensIKK - Institute of Plastics and Circular Economy, Leibniz University Hanover, An der Universität 2, 30823 Garbsen, Germany.ORCID https://orcid.org/0000-0003-1655-8941
Niklas RodeIKK - Institute of Plastics and Circular Economy, Leibniz University Hanover, An der Universität 2, 30823 Garbsen, Germany.
Jacek LecinskiIKK - Institute of Plastics and Circular Economy, Leibniz University Hanover, An der Universität 2, 30823 Garbsen, Germany.
Madina ShamsuyevaIKK - Institute of Plastics and Circular Economy, Leibniz University Hanover, An der Universität 2, 30823 Garbsen, Germany.ORCID https://orcid.org/0000-0003-2564-4104
Hans-Josef EndresIKK - Institute of Plastics and Circular Economy, Leibniz University Hanover, An der Universität 2, 30823 Garbsen, Germany.
David MüllerSyft Technologies Limited, 68 St Asaph Street, Christchurch Central, Christchurch 8011, New Zealand.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The quality of recycled plastics is significantly influenced by the contamination content of volatile organic compounds (VOCs), which enter the plastic through additives, migration or degradation processes. This poses a challenge for applications with high chemical requirements, such as food and cosmetics packaging or components in automotive interiors. In addition, previous analytical methods are based on random samples and only analyze a fraction of the material. Particularly with inhomogeneous input streams, there is a risk that potentially harmful substances will not be detected. For this reason, this study investigated the suitability of Selected Ion Flow Tube Mass Spectrometry (SIFT-MS) for the continuous inline analysis of VOCs during the extrusion process. By measuring the gas flow in real time at a vacuum dome of a twin-screw extruder, various VOCs from the input materials, including limonene and model substances in accordance with FDA requirements, were clearly identified and quantified. The measurement results showed a high correlation between the VOC content in the input material and the concentration in the gas flow. The results demonstrate the potential of SIFT-MS for process monitoring and quality control in mechanical plastics processing, especially for increasing safety and traceability when using recycled materials in sensitive applications.

Identifiers

PMID41476511
PMCPMC12750390

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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.