Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 204

The DOI matches its Crossref record.

Recycling of biopolymers – The patent perspective

Niaounakis, Michael·2019·European Polymer Journal

Abstract

Abstract The present study investigates the main recycling technologies of biopolymers, including bio-based and/or biodegradable polymers, disclosed in the patent literature. Most of the retrieved patents relate to the recycling of aliphatic polyesters, in particular PLA, which is nowadays the most commonly used biodegradable polymer. The main recycling technologies, which are examined, are sorting, mechanical recycling, chemical recycling (hydrolysis, alcoholysis, and thermal depolymerization with catalysts) and the relatively new enzymatic depolymerization of biopolymers. Currently, mechanical processing of post-industrial waste appears to be the only realistic option for the recycling of biodegradable PLA. Bio-based non-biodegradable polymers, such as bio-PET, bio-PE, bio-PA can be mixed with their fossil fuel-based counterparts and recycled in existing recycling facilities. Poly(ethylene furanoate) (PEF) can also be mixed with industrial PET in an amount up to 2%, and recycled. Despite the dynamic growth of biopolymers their waste streams are still small and scattered; and no separate recycling stream yet exists for PLA. On the other hand, there is much activity in patenting on the recycling of biopolymers. Most of the information presented in this paper is not to be found anywhere else, but in patents.

Overview

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1016/j.eurpolymj.2019.02.027

Cites

Statistics

Verification

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Citations

Cited by

See all 204

Metadata

Authors
Niaounakis, M.
Venue
European Polymer Journal
Publisher
Elsevier BV
Published
2019-05
Volume
114
Pages
464-475
ISSN
0014-3057 (ISSN-L)
OpenAlex
W2916259905
Cited by
204
References
0
FWCI
5.56
Type
journal article
Language
en
Open access
closed

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review

How to cite

Cite CoChat for the checks on this page, and the paper for its own findings.

This page
CoChat. (2026). Citation check: Recycling of biopolymers – The patent perspective. https://app.cochat.ai/papers/10.1016/j.eurpolymj.2019.02.027
The paper
Niaounakis, M. (2019). Recycling of biopolymers – The patent perspective. European Polymer Journal. https://doi.org/10.1016/j.eurpolymj.2019.02.027

Data sources

Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.