Evidence map›Paper›PMID 38516401›Full record

ArticleACS sustainable chemistry & engineering2024

Increasing the Dissolution Rate of Polystyrene Waste in Solvent-Based Recycling.

Rita Kol, Ruben Denolf, Gwendoline Bernaert, Dave Manhaeghe, Ezra Bar-Ziv, George W Huber, Norbert Niessner, Michiel Verswyvel, Angeliki Lemonidou, Dimitris S Achilias and 1 more

Open access · hybridAbstract read
In one paragraph

Article in ACS sustainable chemistry & engineering, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
4.2field-weighted citation impact, top 5% of its field
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

7 citing papers in PubMed, 17 citations in OpenAlex.

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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

11 authors at 6 institutions in 4 countries.

Rita KolLaboratory for Circular Process Engineering (LCPE), Department of Green Chemistry and Technology, Ghent University, Sint-Martens-Latemlaan 2B, 8500 Kortrijk, Belgium.ORCID https://orcid.org/0000-0003-1542-7085
Ruben DenolfLaboratory for Circular Process Engineering (LCPE), Department of Green Chemistry and Technology, Ghent University, Sint-Martens-Latemlaan 2B, 8500 Kortrijk, Belgium.ORCID https://orcid.org/0000-0002-1271-0128
Gwendoline BernaertLaboratory for Circular Process Engineering (LCPE), Department of Green Chemistry and Technology, Ghent University, Sint-Martens-Latemlaan 2B, 8500 Kortrijk, Belgium.
Dave ManhaegheLaboratory for Circular Process Engineering (LCPE), Department of Green Chemistry and Technology, Ghent University, Sint-Martens-Latemlaan 2B, 8500 Kortrijk, Belgium.
Ezra Bar-ZivDepartment of Mechanical Engineering, Michigan Technological University, Houghton, Michigan 49931, United States.ORCID https://orcid.org/0000-0003-1444-123X
George W HuberDepartment of Chemical and Biological Engineering, University of Wisconsin-Madison, Madison, Wisconsin 53706, United States.ORCID https://orcid.org/0000-0002-7838-6893
Norbert NiessnerINEOS Styrolution GmbH, Mainzer Landstraße 50, 60325 Frankfurt am Main, Germany.
Michiel VerswyvelINEOS Styrolution Belgium N.V., Scheldelaan 600, 2040 Antwerpen, Belgium.
Angeliki LemonidouLaboratory of Petrochemical Technology, Department of Chemical Engineering, Aristotle University of Thessaloniki, 54124 Thessaloniki, Greece.ORCID https://orcid.org/0000-0001-8376-0678
Dimitris S AchiliasLaboratory of Polymer Chemistry and Technology, Department of Chemistry, Aristotle University of Thessaloniki, 54124 Thessaloniki, Greece.ORCID https://orcid.org/0000-0003-2872-8426
Steven De MeesterLaboratory for Circular Process Engineering (LCPE), Department of Green Chemistry and Technology, Ghent University, Sint-Martens-Latemlaan 2B, 8500 Kortrijk, Belgium.ORCID https://orcid.org/0000-0002-5246-3918
Ghent University · BEAristotle University of Thessaloniki · GRIneos (Belgium) · BEIneos (Germany) · DEMichigan Technological University · USUniversity of Wisconsin–Madison · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Solvent-based recycling of plastic waste is a promising approach for cleaning polymer chains without breaking them. However, the time required to actually dissolve the polymer in a lab environment can take hours. Different factors play a role in polymer dissolution, including temperature, turbulence, and solvent properties. This work provides insights into bottlenecks and opportunities to increase the dissolution rate of polystyrene in solvents. The paper starts with a broad solvent screening in which the dissolution times are compared. Based on the experimental results, a multiple regression model is constructed, which shows that within several solvent properties, the viscosity of the solvent is the major contributor to the dissolution time, followed by the hydrogen, polar, and dispersion bonding (solubility) parameters. These results also indicate that cyclohexene, 2-pentanone, ethylbenzene, and methyl ethyl ketone are solvents that allow fast dissolution. Next, the dissolution kinetics of polystyrene in cyclohexene in a lab-scale reactor and a baffled reactor are investigated. The effects of temperature, particle size, impeller speed, and impeller type were studied. The results show that increased turbulence in a baffled reactor can decrease the dissolution time from 40 to 7 min compared to a lab-scale reactor, indicating the importance of a proper reactor design. The application of a first-order kinetic model confirms that dissolution in a baffled reactor is at least 5-fold faster than that in a lab-scale reactor. Finally, the dissolution kinetics of a real waste sample reveal that, in optimized conditions, full dissolution occurs after 5 min.

Identifiers

PMID38516401
PMCPMC10952012
OpenAlexW4392380327

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

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.