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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
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URI: https://cronfa.swan.ac.uk/Record/cronfa63128
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first_indexed 2023-04-12T12:25:06Z
last_indexed 2023-04-13T03:23:52Z
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spelling v2 63128 2023-04-12 Biomass carbon mining to develop nature-inspired materials for a circular economy 5363e29b6a34d3e72b5d31140c9b51f0 0000-0003-2959-1716 Ian Mabbett Ian Mabbett true false a5907aac618ec107662c888f6ead0e4a 0000-0001-7149-5512 Francisco Martin-Martinez Francisco Martin-Martinez true false 2023-04-12 CHEM 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. Journal Article iScience 26 4 106549 Elsevier BV 2589-0042 Energy resources, Biotechnology, Biomass, Materials science 21 4 2023 2023-04-21 10.1016/j.isci.2023.106549 http://dx.doi.org/10.1016/j.isci.2023.106549 COLLEGE NANME Chemistry COLLEGE CODE CHEM Swansea University External research funder(s) paid the OA fee (includes OA grants disbursed by the Library) 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). 2023-05-18T14:38:38.0959991 2023-04-12T13:20:24.2555760 Faculty of Science and Engineering School of Engineering and Applied Sciences - Chemistry Anna Bachs-Herrera 1 Daniel York 2 Tristan Stephens-Jones 3 Ian Mabbett 0000-0003-2959-1716 4 Jingjie Yeo 5 Francisco Martin-Martinez 0000-0001-7149-5512 6 63128__27140__8a446fd3895d45339c36aee496ba68f4.pdf 63128.pdf 2023-04-20T08:47:28.2563439 Output 3446500 application/pdf Version of Record true This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/). false eng http://creativecommons.org/licenses/by/4.0/
title Biomass carbon mining to develop nature-inspired materials for a circular economy
spellingShingle Biomass carbon mining to develop nature-inspired materials for a circular economy
Ian Mabbett
Francisco Martin-Martinez
title_short Biomass carbon mining to develop nature-inspired materials for a circular economy
title_full Biomass carbon mining to develop nature-inspired materials for a circular economy
title_fullStr Biomass carbon mining to develop nature-inspired materials for a circular economy
title_full_unstemmed Biomass carbon mining to develop nature-inspired materials for a circular economy
title_sort Biomass carbon mining to develop nature-inspired materials for a circular economy
author_id_str_mv 5363e29b6a34d3e72b5d31140c9b51f0
a5907aac618ec107662c888f6ead0e4a
author_id_fullname_str_mv 5363e29b6a34d3e72b5d31140c9b51f0_***_Ian Mabbett
a5907aac618ec107662c888f6ead0e4a_***_Francisco Martin-Martinez
author Ian Mabbett
Francisco Martin-Martinez
author2 Anna Bachs-Herrera
Daniel York
Tristan Stephens-Jones
Ian Mabbett
Jingjie Yeo
Francisco Martin-Martinez
format Journal article
container_title iScience
container_volume 26
container_issue 4
container_start_page 106549
publishDate 2023
institution Swansea University
issn 2589-0042
doi_str_mv 10.1016/j.isci.2023.106549
publisher Elsevier BV
college_str Faculty of Science and Engineering
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hierarchy_top_title Faculty of Science and Engineering
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hierarchy_parent_title Faculty of Science and Engineering
department_str School of Engineering and Applied Sciences - Chemistry{{{_:::_}}}Faculty of Science and Engineering{{{_:::_}}}School of Engineering and Applied Sciences - Chemistry
url http://dx.doi.org/10.1016/j.isci.2023.106549
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description 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.
published_date 2023-04-21T14:38:36Z
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