Scientific Commentary

Deciphering the Structural Complexity of Populus Secondary Cell Walls: Implications for Biomass Conversion Efficiency  

Francis Burke
The BioSci Publisher, Richmond, British Columbia, Canada
Author    Correspondence author
Journal of Energy Bioscience, 2024, Vol. 15, No. 1   doi: 10.5376/jeb.2024.15.0004
Received: 05 Jan., 2024    Accepted: 08 Feb., 2024    Published: 19 Feb., 2024
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This is an open access article published under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Preferred citation for this article:

Burke F., 2024, Deciphering the structural complexity of Populus secondary cell walls: implications for biomass conversion efficiency, Journal of Energy Bioscience, 15(1): 28-31 (doi: 10.5376/jeb.2024.15.0004)

Abstract

The paper titled "Atomistic, macromolecular model of the Populus secondary cell wall informed by solid-state NMR" was published on January 3, 2024, in the open-access journal Science Advances, under the Science Publishing Group. The authors, Bennett Addison, Lintao Bu, Vivek Bharadwaj, Meagan F. Crowley, Anne E. Harman-Ware, Michael F. Crowley, Yannick J. Bomble, and Peter N. Ciesielski are from National Renewable Energy Laboratory and the Colorado School of Mines in Golden, CO, USA. The study presents an atomistic macromolecular model of the secondary cell wall (SCW) in Populus wood, focusing on the interactions and configurations of cellulose, hemicelluloses, and lignin. Utilizing solid-state nuclear magnetic resonance (ssNMR) measurements, the research investigates the structural configurations and intermolecular interactions within the SCW. This information is used to develop and refine molecular models through molecular dynamics (MD) simulations, enhancing the understanding of the SCW's architecture and informing biomass deconstruction strategies.

Keywords
Structural complexity; Populus secondary cell walls; Biomass conversion efficiency
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