Issue 27, 2018, Issue in Progress

Mechanical and water-resistant properties of rice straw fiberboard bonded with chemically-modified soy protein adhesive

Abstract

In this work, rice straw and soy protein were used to make fiberboard which may replace wood fiberboard. Soy protein isolates (SPI) were modified by epoxidized oleic acid to improve the soy protein adhesive properties such as adhesion strength and water resistance. The effects of NaOH content, the addition of modified-SPI adhesives and fiberboard density on the mechanical and water-resistant properties of the rice straw fiberboards were investigated. FTIR and XRD results of modified SPI indicated the epoxidized oleic acid and soy protein reacted with each other. FTIR and SEM images of rice straw fibers showed that NaOH solution removed the wax layer through chemical etching. The results of investigating mechanical properties and water absorption illustrate that when the soy protein-based adhesives content and density and the hot pressing temperature and pressure of fiberboard are 12%, 0.8 g cm−3, 140 °C and 6 MPa, respectively, the panels have optimal mechanical and water-resistant performances. Moreover, the panels meet the requirements of chinese medium density fiberboard (MDF) Standard of GB/T 11718-2009. Since biological raw materials are recyclable and biomass, the fiberboard bonded with modified soy protein adhesive has no toxicity and is easily biodegradable. In addition, the rice straw burned to produce haze has been preferably utilized.

Graphical abstract: Mechanical and water-resistant properties of rice straw fiberboard bonded with chemically-modified soy protein adhesive

Article information

Article type
Paper
Submitted
29 Nov 2017
Accepted
17 Apr 2018
First published
23 Apr 2018
This article is Open Access
Creative Commons BY-NC license

RSC Adv., 2018,8, 15188-15195

Mechanical and water-resistant properties of rice straw fiberboard bonded with chemically-modified soy protein adhesive

W. Zhang, H. Sun, C. Zhu, K. Wan, Y. Zhang, Z. Fang and Z. Ai, RSC Adv., 2018, 8, 15188 DOI: 10.1039/C7RA12875D

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