Journal article 641 views 89 downloads
Biomass carbon mining to develop nature-inspired materials for a circular economy
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Jingjie Yeo,
Francisco Martin-Martinez
iScience, Volume: 26, Issue: 4, Start page: 106549
Swansea University Authors:
Ian Mabbett , Francisco Martin-Martinez
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DOI (Published version): 10.1016/j.isci.2023.106549
Abstract
A transition from a linear to a circular economy is the only alternative to reduce current pressures in natural resources. Our society must redefine our material sources, rethink our supply chains, improve our waste management, and redesign materials and products. Valorizing extensively available bi...
| Published in: | iScience |
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| ISSN: | 2589-0042 |
| Published: |
Elsevier BV
2023
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| Online Access: |
Check full text
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| URI: | https://cronfa.swan.ac.uk/Record/cronfa63128 |
| Abstract: |
A transition from a linear to a circular economy is the only alternative to reduce current pressures in natural resources. Our society must redefine our material sources, rethink our supply chains, improve our waste management, and redesign materials and products. Valorizing extensively available biomass wastes, as new carbon mines, and developing biobased materials that mimic nature’s efficiency and wasteless procedures, are the most promising avenues to achieve technical solutions for the global challenges ahead. Advances in materials processing, and characterization, as well as the rise of artificial intelligence, and machine learning, are supporting this transition to a new materials’ mining. Location, cultural, and social aspects are also factors to consider. This perspective discusses new alternatives for carbon mining in biomass wastes, the valorization of biomass using available processing techniques, and the implementation of computational modeling, artificial intelligence, and machine learning to accelerate material’s development and process engineering. |
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| Keywords: |
Energy resources, Biotechnology, Biomass, Materials science |
| College: |
Faculty of Science and Engineering |
| Funders: |
FMM acknowledges the support from the Royal Society of Chemistry Enablement Grant (E21-
7051491439). ABH acknowledges the support from the Engineering and Physical Sciences
Research Council PhD scholarship (Ref. 2492554). This work was also supported, in part, by
the Bill & Melinda Gates Foundation (OPP1149054). |
| Issue: |
4 |
| Start Page: |
106549 |