Preparation Process Optimization and Flame Retardant Performance of Laccase Pretreated Flame-retardant Fiberboard
In order to improve the flame-retardant effect of flame retardants in fiberboard,laccase was used to pretreat poplar fiber and then BL-environmental friendly flame retardant was impregnated with poplar fiber to prepare laccase treated flame-retardant fiberboard.Taking the flame retardants loading,oxygen index and smoke density of fiberboard as indexes,the orthogonal experimental design was used to determine the optimal impregnation process.The impregnation effect of poplar fibers was analyzed by oxygen index,smoke density,thermogravimetric(TG)analysis and Fourier transform infrared spectroscopy(FT-IR).The results showed that the prepared fiberboard had the best flame-retardant effect under the conditions of laccase treatment temperature of 50℃,enzyme treatment time of 60 min,enzyme dosage of 35 U/g,pH value of 4.8,flame retardant dosage of 50%,flame retardant impregnation time of 80 min and flame retardant temperature of 35℃.Under these conditions,the flame retardant loading was 20.3%,the oxygen index was 41.5%,the smoke density was 10.9%,the density was 0.774 g/cm3,the static flexural strength was 30.3 MPa,the elastic modulus was 3 507 MPa,the internal bonding strength was 0.61 MPa,and the thickness expansion rate of water absorbing was 17.4%.Compared with ordinary fiberboard,BL-environmental flame retardant treatment of fiberboard could improve its oxygen index and flame retardant content.Compared with the ordinary fiberboard and the flame-retardant fiberboard prepared by BL-environmentally friendly flame retardant treatment only,the temperature required for laccase-treated flame retardant fiberboard to produce the same weight loss was higher,and the combustion reaction was not easy to be occured in the drying and carbonization stages.The oxygen-containing functional groups and hydroxyl groups of laccase-treated flame-retardant fiberboard decreased significantly,and the flame retardancy of the fiberboard was improved.
万方数据
维普
