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当前位置: 首页 > 文章 > 糠椴木聚糖提取及纳米木聚糖制备工艺优化 吉林林学院学报 2024,25 (1) 109-116
Position: Home > Articles > Extraction of Xylan from Tilia mandshurica and Optimization of Preparation Process for Nano-xylan Journal of Jilin Forestry University 2024,25 (1) 109-116

糠椴木聚糖提取及纳米木聚糖制备工艺优化

作  者：
李慧杰;孙金龙;张鸣远;王宏兴;葛泽儒;庞久寅;夏富才
单  位：
梅河口市山城镇综合行政执法队;长春净月经济开发区应急管理局;北华大学
关键词：
糠椴;木聚糖;响应面法;纳米木聚糖;工艺优化
摘  要：
采用碱提法从糠椴中提取木聚糖,通过二次碱液处理制备纳米木聚糖,采用响应面法优化纳米木聚糖制备工艺.结果显示:木聚糖提取最优工艺为碱液质量分数10%,处理温度90℃,处理时间3h,固液比(g/mL)为1∶ 15,在此条件下,糠椴可有效提取木聚糖;制备纳米木聚糖的最佳工艺为处理温度 59℃,处理时间 2h,碱液质量分数5%,在此条件下制备的纳米木聚糖粒径为 9.36 nm,通过透射电子显微镜进一步确定纳米木聚糖粒径为20~40 nm,且形态规则,与纳米激光粒度仪Winner802 的测试结果相吻合.本项研究提供了一种有效提取糠椴木聚糖和制备纳米木聚糖的方法,证明了响应面法在工艺参数优化中的可行性.
译  名：
Extraction of Xylan from Tilia mandshurica and Optimization of Preparation Process for Nano-xylan
关键词：
Tilia mandshurica%xylan%response surface methodology%nano-xylan%process optimization
摘  要：
Xylan was extracted from tulip tree bark by using the alkali extraction method,nano-xylan was prepared through secondary alkali treatment,and the preparation process of nano-xylan was optimized by using the response surface methodology.Experimental results showed that the optimal extraction process parameters for cellulose were as follows:poplar husk as raw material,alkali solution concentration of 10%,processing temperature of 90℃,processing time of 3 hours,and a solid-liquid ratio of 1∶15(g/mL).Under these conditions,cellulose was effectively extracted from poplar husk.The best process parameters for preparing nanocellulose were as follows:processing temperature of 59℃,processing time of 2 hours,and alkali concentration of 5%.Under these conditions,the particle size of the prepared nanocellulose was 9.36 nm.The particle size of nanocellulose was further confirmed to be between 20~40 nm with regular morphology through transmission electron microscopy,which was consistent with the results tested by the nanolaser particle size analyzer Winner802.This study not only provides an effective method for extracting and preparing nanocellulose,but also proves the feasibility of the response surface methodology in optimizing process parameters.

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