Abstract

Abstract Increasing the stream of recycled plastic necessitates an approach beyond the traditional recycling via melting and re‐extrusion. Various chemical recycling processes have great potential to enhance recycling rates. In this Review, a summary of the various chemical recycling routes and assessment via life‐cycle analysis is complemented by an extensive list of processes developed by companies active in chemical recycling. We show that each of the currently available processes is applicable for specific plastic waste streams. Thus, only a combination of different technologies can address the plastic waste problem. Research should focus on more realistic, more contaminated and mixed waste streams, while collection and sorting infrastructure will need to be improved, that is, by stricter regulation. This Review aims to inspire both science and innovation for the production of higher value and quality products from plastic recycling suitable for reuse or valorization to create the necessary economic and environmental push for a circular economy.

Keywords

ReusePlastic wasteCircular economyWaste managementWaste streamLife-cycle assessmentWaste recyclingEnvironmental scienceSortingProduction (economics)BusinessComputer scienceEngineeringEconomics

Affiliated Institutions

Related Publications

A Tool for Reviewers

Peer review lies at the core of science and academic life. In one of its most pervasive forms, peer review for the scientific literature is the main mechanism that research jour...

2001 Academic Medicine 27 citations

Publication Info

Year
2020
Type
review
Volume
59
Issue
36
Pages
15402-15423
Citations
1552
Access
Closed

Social Impact

Social media, news, blog, policy document mentions

Citation Metrics

1552
OpenAlex
17
Influential

Cite This

Ina Vollmer, Michael J. F. Jenks, Mark Roelands et al. (2020). Beyond Mechanical Recycling: Giving New Life to Plastic Waste. Angewandte Chemie International Edition , 59 (36) , 15402-15423. https://doi.org/10.1002/anie.201915651

Identifiers

DOI
10.1002/anie.201915651
PMID
32160372
PMCID
PMC7497176

Data Quality

Data completeness: 86%