摘要
以巨菌草（pennisetumsineseroxb）为原料，采用酸水解法制备了纳米纤维素（CNC），并应用响应面分析法对影响纳米纤维素得率的3个主要因素即硫酸浓度、温度、时间进行了优化。实验结果表明，利用Design—Expert的Box—behnken中心组合设计建立的二次多项式模型较显著，当硫酸浓度为51％，温度为60℃，时间为120min时，纳米纤维素的得率达到最大值80％。制备的CNC呈棒状，直径约为20～30nm，长度100～200nm；XRD图谱表明CNC的结晶度较巨菌草显著提高；红外光谱表征显示，CNC仍保持纤维素的基本结构。
Cellulose nanocrystalline （CNC） was prepared from Pennisetum Sinese Roxb by hydrolysis with sul- furic acid. The effects of sulfuric acid concentration, reaction temperature and reaction time on the yield of CNC were optimized with response surface methodology. The mathematical model was established by using the De- sign-Expert software. The results showed that quadratic model was the best model to describe the relationship between the yield of CNC and the factors. With the sulfuric acid concentration of 51%, reaction temperature of 60℃ and the reaction time of 120min, the yield of CNC reached the highest value of 80% in the investigation. The prepared CNC was rod-like with the diameter of 20-30nm and the length of 100-200nm. The XRD spectra showed that the crystallinity of CNC was higher than pennisetum sinese roxb fiber. The infrared spectra showed that CNC had similar structure with pennisetum sinese roxb fiber.
出处
《功能材料》
EI
CAS
CSCD
北大核心
2013年第20期2985-2989,2995,共6页
Journal of Functional Materials
基金
国家自然科学基金资助项目(31170520)
福建省自然科学基金资助项目(2010J01270)
福建省教育厅资助项目(JK2011016)
关键词
巨菌草
纳米纤维素
响应面分析法
表征
pennisetum sinese roxb
cellulose nanocrystalline
response surface methodology
characterization
