4.7 Article

Influence of ultrasound pretreatment on wood physiochemical structure

Journal

ULTRASONICS SONOCHEMISTRY
Volume 34, Issue -, Pages 136-141

Publisher

ELSEVIER
DOI: 10.1016/j.ultsonch.2016.05.035

Keywords

Ultrasound pretreatment; Thermostability; Crystallinity; FTIR; Eucalyptus

Funding

  1. National Science Foundation of China-Study on the Moisture Migration Mechanism during Ultrasonic-Assisted Wood Vacuum Superheated Steam Drying [31270604]
  2. Fundamental Research Funds for the Central Universities of China [2015ZCQ-CL-01]

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As an initial step to increase the use of renewable biomass resources, this study was aimed at investigating the effects of ultrasound pretreatment on structural changes of wood. Samples were pretreated by ultrasound with the power of 300 W and frequency of 28 kHz in aqueous soda solution, aqueous acetic acid, or distilled water, then pretreated and control samples were characterized via X-ray diffraction (XRD), scanning electron microscopy (SEM), Fourier transform infrared spectroscopy (FTIR), and thermo-gravimetric analysis (TGA). The results shown that ultrasound pretreatment is indeed effective in modifying the physiochemical structure of eucalyptus wood; the pretreatment decreased the quantity of alkali metals (e.g., potassium, calcium and magnesium) in the resulting material. Compared to the control group, the residual char content of samples pretreated in aqueous soda solution increased by 10.08%-20.12% and the reaction temperature decreased from 361 degrees C to 341 degrees C, however, in samples pretreated by ultrasound in acetic solution or distilled water, the residual char content decreased by 12.40%-21.45% and there were no significant differences in reactivity apart from a slightly higher maximum reaction rate. Ultrasound pretreatment increased the samples' crystallinity up to 35.5% and successfully removed cellulose, hemicellulose, and lignin from the samples; the pretreatment also increased the exposure of the sample to the treatment solutions, broke down sample pits, and generated collapses and microchannels on sample pits, and removed attachments in the samples. (C) 2016 Elsevier B.V. All rights reserved.

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