Lignocellulosic materials, the essential components of plant matter, are organized in complex three-dimensional structures, where detailed understanding of the interactions between the different polymer components is still an unresolved challenge. In this proposal, a novel microscopy imaging and artificial intelligence infrastructure is used to visualize individual lignocellulosic building blocks and their assembled structures at an unprecedented resolution. The application potential is in gaining information to improve biorefinery processes - serving in the development of selective dissolution processes for producing purified streams of cellulose, lignin and hemicelluloses. It can also be applied in new technologies for producing natural textile fibers and to reveal the detailed surface structure of lignocellulosic materials, essential for enzyme-aided or chemical modification in biorefineries.

2022

2024