The DOI matches its Crossref record; 114 of the 114 references it cites were found in a registry or an index.
A Review of Bioplastics and Their Adoption in the Circular Economy
Open accessAbstract
The European Union is working towards the 2050 net-zero emissions goal and tackling the ever-growing environmental and sustainability crisis by implementing the European Green Deal. The shift towards a more sustainable society is intertwined with the production, use, and disposal of plastic in the European economy. Emissions generated by plastic production, plastic waste, littering and leakage in nature, insufficient recycling, are some of the issues addressed by the European Commission. Adoption of bioplastics–plastics that are biodegradable, bio-based, or both–is under assessment as one way to decouple society from the use of fossil resources, and to mitigate specific environmental risks related to plastic waste. In this work, we aim at reviewing the field of bioplastics, including standards and life cycle assessment studies, and discuss some of the challenges that can be currently identified with the adoption of these materials.
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Cites
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1,500 scientists lift the lid on reproducibility
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BackgroundSustainable polymers from renewable resources
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Cited by
Bioplastic production in terms of life cycle assessment: A state-of-the-art review
Ali, S. S., Abdelkarim, E. A., Elsamahy, T., Al-Tohamy, R., Li, F., Kornaros, M., Zuorro, A., Zhu, D., & Sun, J. (2023) · Environmental Science and Ecotechnology · doi:10.1016/j.ese.2023.100254 · Cited by 361
Metadata
- Authors
- Di Bartolo, A., Infurna, G., & Dintcheva, N. T.
- Venue
- Polymers
- Publisher
- MDPI AG
- Published
- 2021-04-10
- Volume
- 13
- Issue
- 8
- Pages
- 1229
- ISSN
- 2073-4360 (ISSN-L)
- OpenAlex
- W3152508750
- Cited by
- 331
- References
- 114
- FWCI
- 12.50
- Type
- journal article
- Language
- en
- Open access
- gold
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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.
