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Biomass carbon mining to develop nature-inspired materials for a circular economy.
Bachs-Herrera, Anna; York, Daniel; Stephens-Jones, Tristan; Mabbett, Ian; Yeo, Jingjie; Martin-Martinez, Francisco J.
Afiliación
  • Bachs-Herrera A; Department of Chemistry, Swansea University, Swansea SA2 8PP, UK.
  • York D; Department of Chemistry, Swansea University, Swansea SA2 8PP, UK.
  • Stephens-Jones T; Department of Chemistry, Swansea University, Swansea SA2 8PP, UK.
  • Mabbett I; Department of Chemistry, Swansea University, Swansea SA2 8PP, UK.
  • Yeo J; Sibley School of Mechanical and Aerospace Engineering, Cornell University, Ithaca, NY 14853, USA.
  • Martin-Martinez FJ; Department of Chemistry, Swansea University, Swansea SA2 8PP, UK.
iScience ; 26(4): 106549, 2023 Apr 21.
Article en En | MEDLINE | ID: mdl-37123246
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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Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Tipo de estudio: Health_economic_evaluation / Prognostic_studies Idioma: En Revista: IScience Año: 2023 Tipo del documento: Article País de afiliación: Reino Unido

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Tipo de estudio: Health_economic_evaluation / Prognostic_studies Idioma: En Revista: IScience Año: 2023 Tipo del documento: Article País de afiliación: Reino Unido