Inside Cover Picture: Fast Pyrolysis of Wood for Biofuels: Spatiotemporally Resolved Diffuse Reflectance In situ Spectroscopy of Particles (ChemSusChem 3/2014)

Authors

  • Alex D. Paulsen,

    1. University of Massachusetts Amherst, Department of Chemical Engineering, Amherst, MA 01003 (USA)
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    • These authors contributed equally to this work.

  • Blake R. Hough,

    1. University of Washington, Department of Chemical Engineering, Seattle, WA 98195-1750 (USA)
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    • These authors contributed equally to this work.

  • C. Luke Williams,

    1. University of Massachusetts Amherst, Department of Chemical Engineering, Amherst, MA 01003 (USA)
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  • Andrew R. Teixeira,

    1. University of Massachusetts Amherst, Department of Chemical Engineering, Amherst, MA 01003 (USA)
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  • Prof. Daniel T. Schwartz,

    1. University of Washington, Department of Chemical Engineering, Seattle, WA 98195-1750 (USA)
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  • Prof. Jim Pfaendtner,

    Corresponding author
    1. University of Washington, Department of Chemical Engineering, Seattle, WA 98195-1750 (USA)
    • Jim Pfaendtner, University of Washington, Department of Chemical Engineering, Seattle, WA 98195-1750 (USA)

      Paul J. Dauenhauer, University of Massachusetts Amherst, Department of Chemical Engineering, Amherst, MA 01003 (USA)

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  • Prof. Paul J. Dauenhauer

    Corresponding author
    1. University of Massachusetts Amherst, Department of Chemical Engineering, Amherst, MA 01003 (USA)
    • Jim Pfaendtner, University of Washington, Department of Chemical Engineering, Seattle, WA 98195-1750 (USA)

      Paul J. Dauenhauer, University of Massachusetts Amherst, Department of Chemical Engineering, Amherst, MA 01003 (USA)

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Abstract

original image

The inside cover picture depicts diffuse reflectance spectroscopy of visible light and compositional characterization of terrestrial biomass during pyrolysis. Dauenhauer et al. developed this technique to address one of the major challenges of biomass pyrolysis for biofuels: the complexity of characterizing the integrated chemistries of lignocellulosic feedstocks. For over 50 years, research has focused on describing lignocellulosic conversion using multi-parameter reaction modeling, for which the number of parameters greatly exceeds the capability for experimental validation. This new technique spatiotemporally characterizes for the first time the composition of reacting particles at industrial conditions. More details can be found in the Full Paper by Dauenhauer et al. on page 765 (DOI: 10.1002/cssc.201301056).

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