Lee, R. Ying, Ashraf Muhammad, Rusli N. Dini, Mohammad Sohel Rahman, H. Harun, M. K..
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引用次数: 0
摘要
本研究以农业废弃物中的稻壳和椰子壳为研究对象。测定了预处理前后稻壳和椰壳中木质素的含量。利用响应面法(RSM)预测最佳处理条件,利用傅里叶变换红外(FTIR)对木质素含量进行鉴定。考察了NaOH浓度、接触时间(CT)和样品质量的相互作用,以优化木质素去除率(%)。水稻壳木质素去除的二次模型的相关系数R2为0.8863,线性模型的椰子壳木质素去除的相关系数R2为0.7998,2FI模型的相关系数R2为0.8892。RSM预测稻壳木质素脱除的最佳条件为NaOH浓度为10 M, CT时间为1 h, 0.5 g样品木质素脱除率为32.45%。当NaOH浓度为10 M, CT时间为12 h时,0.5 g样品的木质素去除率为59.47%。结果表明,碱法预处理稻壳和椰壳对木质素的去除率较高。
Alkaline pre-treatment of rice hull and coconut hull using Response Surface Methodology
In this research, the rice hull and coconut hull from agriculture waste were investigated. The lignin content within the rice and coconut hull were determined before and after pre-treatment. Response Surface Methodology (RSM) used to predict the optimal condition for the treatments and Fourier Transform Infrared (FTIR) to identify the lignin content. The interaction of NaOH concentration, contact time (CT), and sample weight was investigated to optimize the lignin removal percentage (%). The correlation coefficient, R2 for a quadratic model of rice hull lignin removal was 0.8863 while for coconut hull lignin removal in the linear model was 0.7998, as well as the 2FI model was 0.8892. The optimum condition for rice hull lignin removal predicted by RSM were10 M NaOH concentration, 1-hour CT and 0.5 g sample produced 32.45% lignin removal. While for coconut hull lignin removal were 10 M NaOH concentration, 12 hours CT, 0.5 g sample produced 59.47% removal of lignin. Results show that alkaline pre-treated rice hull and coconut hull able to be used to remove higher percentage of lignin.