The Journal of Visualized Experiments (JoVE) is a peer reviewed, PubMed-indexed video journal. Our mission is to increase the productivity of scientific research.

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 JoVE General

High-throughput Saccharification Assay for Lignocellulosic Materials


JoVE 3240 7/03/2011

Center for Novel Agricultural Products, University of York

A simple, rapid method for determining the saccharification potential of large numbers of plant biomass samples is described. The automated platform for this analysis involves the preparation of the plant biomass for analysis in 96 well plates and the subsequent performance of pretreatment, hydrolysis and quantification of the sugars released.

 JoVE Bioengineering

GENPLAT: an Automated Platform for Biomass Enzyme Discovery and Cocktail Optimization


JoVE 3314 10/24/2011

1DOE Plant Research Laboratory, Michigan State University, 2DOE Great Lakes Bioenergy Research Center, Michigan State University

GENPLAT (GLBRC Enzyme Platform) is an automated platform for discovery and optimization of enzyme cocktails for biomass degradation. It can be adapted to multiple feedstocks and mixtures of enzymes containing multiple components.

 JoVE General

Label-free in situ Imaging of Lignification in Plant Cell Walls


JoVE 2064 11/01/2010

1Energy Biosciences Institute, University of California, Berkeley, 2Molecular Foundry, Lawrence Berkeley National Laboratory, 3Physical Biosciences Division, Lawrence Berkeley National Laboratory

A method based on confocal Raman microscopy is presented that affords label-free visualization of lignin in plant cell walls and comparison of lignification in different tissues, samples or species.

 JoVE General

Agar-Block Microcosms for Controlled Plant Tissue Decomposition by Aerobic Fungi


JoVE 2283 2/03/2011

Department of Bioproducts and Biosystems Engineering, University of Minnesota

This video demonstrates a controlled environment approach to study degradation of lignocellulosic plant tissues by aerobic fungi. The ability to control nutrient sources and moisture is a key advantage of agar-block microcosms, but the approach often yields mixed success. We address critical pitfalls to yield reproducible, low-variability results.

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