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Multimodal Imaging and Modeling of Lignocellulosic Biomass

By Lee Makowski1, Michael Crowley2, Mike Himmel3, Shi-You Ding3, Bryon Donohoe2, Jeremy Madden4, Garth Simpson4, Jyotsana Lal5

1. Northeastern University 2. National Renewable Energy Lab 3. National Renewable Energy Laboratory 4. Purdue University 5. Argonne National Lab

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Abstract

Recalcitrance of biomass to physical and chemical processing is a major obstacle for biomass utilization as a feedstock for chemical or fuel production. Multiple imaging modalities are being used to monitor the deconstruction of lignocellulose during processing. Imaging of the biomass during deconstruction is providing guidance for the development and refinement of novel catalytic approaches to biomass deconstruction.

Contributor Carl A Huetteman
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Sponsored by U.S. Department of Energy, Office of Science, Office of Basic Energy Sciences, Award Number DE-SC0000997
Cite this work

Researchers should cite this work as follows:

Makowski, Lee, Mike Crowley, Michael Himmel, Shi-You Ding, Bryon Donohoe, Jeremy Madden, Garth Simpson, Jyotsana Lal and Ross Harder. 2011. Multimodal Imaging and Modeling of Lignocellulosic Biomass. Science for our Nation's Energy Future Energy Frontier Research Centers Summit & Forum, Washington DC, May 25-27, 2011.
  • Lee Makowski; Michael Crowley; Mike Himmel; Shi-You Ding; Bryon Donohoe; Jeremy Madden; Garth Simpson; Jyotsana Lal (2011), "Multimodal Imaging and Modeling of Lignocellulosic Biomass," http://c3bio.org/resources/425.

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