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Biomass carbon mining to develop nature-inspired materials for a circular economy

Anna Bachs-Herrera, Daniel York, Tristan Stephens-Jones, Ian Mabbett Orcid Logo, Jingjie Yeo, Francisco Martin-Martinez Orcid Logo

iScience, Volume: 26, Issue: 4, Start page: 106549

Swansea University Authors: Ian Mabbett Orcid Logo, Francisco Martin-Martinez Orcid Logo

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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...

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Published in: iScience
ISSN: 2589-0042
Published: Elsevier BV 2023
Online Access: Check full text

URI: https://cronfa.swan.ac.uk/Record/cronfa63128
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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.
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