响应面法优化豆渣制备粗微晶纤维素

摘要以豆渣为原料,利用氢氧化钾与湿法磷酸联合处理制备粗微晶纤维素(Crude Microcrystalline Cellulose,CMCC)。以结晶指数为响应值利用单因素实验、Plackett-Burman实验、响应面优化实验对工艺条件进行优化。结果表明:碱解温度、酸解温度、酸解时间对CMCC的结晶指数影响较为显著,最适宜工艺条件为:碱解温度90℃、碱解时间60 min、氢氧化钾溶液浓度4%(质量分数)、湿法磷酸质量分数35%(P₂O₅的质量分数,下同)、酸解时间60 min、酸解温度95℃。验证试验表明最适宜条件下所得CMCC产品结晶指数为42.89%,仅比预测值低0.12%,表明利用响应面优化法得到的优化结果合理可行。

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	徐露
	孙崇庆
	许德华
	严正娟
	李雪
	钟本和
	王辛龙

关键词：豆渣粗微晶纤维素结晶指数 Plackett-Burman实验响应面优化实验

Abstract： In this study, crude microcrystalline cellulose (CMCC) was prepared from soybean residue(okara) through combined treatment of potassium hydroxide and wet-process phosphoric acid. The crystallinity index was chosen as the response value and single factor experiments, Plackett-Burman experiments, and response surface methodology were used to optimize process conditions. The results suggested that alkali treatment temperature, acid treatment temperature, and acid treatment time had a significant impact on crystallinity index of CMCC and the optimal process conditions were identified as alkali treatment temperature 90 ℃, alkali treatment time 60 min, potassium hydroxide solution concentration 4%, wet-process phosphoric acid concentration 35%(P₂O₅), acid treatment time 60 min, and acid treatment temperature 95 ℃. The confirmatory experiment indicated the crystallinity index of CMCC was 42.89% under optimal conditions, which was only 0.12 percentage points lower than the predicted value, indicating that the optimization results obtained by the response surface optimization method are reasonable and feasible.

Keywords： soybean residue crude microcrystalline cellulose crystallinity index Plackett-Burman experiment response surface optimization experiment

Received 2024-02-01;

Fund:原位增值水溶肥及中微量元素肥料创制与产业化(2023YFD1700204);陕煤-秦岭基础科学研究五年行动计划协同创新合作协议(22H1098);四川大学磷资源高效利用工科特色团队(2020SCUNG113)。

Corresponding Authors: 王辛龙,教授,wangxl@scu.edu.cn Email: wangxl@scu.edu.cn

About author: 徐露(1997—),男,硕士研究生,现从事磷化工方面的研究。

引用本文:

徐露, 孙崇庆, 许德华, 严正娟, 李雪, 钟本和, 王辛龙.响应面法优化豆渣制备粗微晶纤维素[J]. 化学工业与工程, 2025,42(1): 1-8

XU Lu, SUN Chongqing, XU Dehua, YAN Zhengjuan, LI Xue, ZHONG Benhe, WANG Xinlong.Optimization of preparing crude microcrystalline cellulose from okara by response surface methodology[J]. Chemcial Industry and Engineering, 2025,42(1): 1-8

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