TY - JOUR
T1 - Biomass carbon mining to develop nature-inspired materials for a circular economy
AU - Bachs-Herrera, Anna
AU - York, Daniel
AU - Stephens-Jones, Tristan
AU - Mabbett, Ian
AU - Yeo, Jingjie
AU - Martin-Martinez, Francisco J.
N1 - Publisher Copyright:
© 2023 The Author(s)
PY - 2023/4/21
Y1 - 2023/4/21
N2 - 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.
AB - 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.
KW - Biomass
KW - Biotechnology
KW - Energy resources
KW - Materials science
UR - http://www.scopus.com/inward/record.url?scp=85152265720&partnerID=8YFLogxK
U2 - 10.1016/j.isci.2023.106549
DO - 10.1016/j.isci.2023.106549
M3 - Review article
AN - SCOPUS:85152265720
SN - 2589-0042
VL - 26
JO - iScience
JF - iScience
IS - 4
M1 - 106549
ER -