Application of an fourier transform-infrared imaging tool for measuring temperature or reaction profiles in pyrolyzed wood
Bahng, Mi-Kyung Donohoe, Bryon s. Nimlos, Mark R.
Application of an fourier transform-infrared imaging tool for measuring temperature or reaction profiles in pyrolyzed wood - ene./feb. 2011 - 9 p. ; 370–378
Transcripción del resumen del autor. FT-IR imaging was used to monitor the structural and chemical changes of wood particles under various pyrolysis conditions. The temperature or reaction profile inside pyrolyzed wood was obtained from a novel approach using chemical images coupled with multivariate analysis. Poplar sections 100 µm thick were pyrolyzed at 250-500 °C and the resulting FT-IR images were used as standards to determine the temperature in a poplar wood block (5 mm × 5 mm × 20 mm). Principal component analysis (PCA) and partial least-squares (PLS) regression were used to develop predictive models to map the temperature profile in the pyrolyzed wood. The results indicate that FT-IR imaging coupled with multivariate analysis is a powerful tool to study the heat transfer effects in the pyrolysis of thick wood particles. We believe that this is a unique and novel approach to visualize the chemical changes in heated biomass and thermal effects in other materials.
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Application of an fourier transform-infrared imaging tool for measuring temperature or reaction profiles in pyrolyzed wood - ene./feb. 2011 - 9 p. ; 370–378
Transcripción del resumen del autor. FT-IR imaging was used to monitor the structural and chemical changes of wood particles under various pyrolysis conditions. The temperature or reaction profile inside pyrolyzed wood was obtained from a novel approach using chemical images coupled with multivariate analysis. Poplar sections 100 µm thick were pyrolyzed at 250-500 °C and the resulting FT-IR images were used as standards to determine the temperature in a poplar wood block (5 mm × 5 mm × 20 mm). Principal component analysis (PCA) and partial least-squares (PLS) regression were used to develop predictive models to map the temperature profile in the pyrolyzed wood. The results indicate that FT-IR imaging coupled with multivariate analysis is a powerful tool to study the heat transfer effects in the pyrolysis of thick wood particles. We believe that this is a unique and novel approach to visualize the chemical changes in heated biomass and thermal effects in other materials.
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