首页|响应面法优化豆渣制备粗微晶纤维素

响应面法优化豆渣制备粗微晶纤维素

扫码查看
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.
Optimization of preparing crude microcrystalline cellulose from okara by response surface methodology
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 crys-tallinity index was chosen as the response value and single factor experiments,Plackett-Burman experi-ments,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 treat-ment 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,indica-ting that the optimization results obtained by the response surface optimization method are reasonable and feasible.

soybean residuecrude microcrystalline cellulosecrystallinity indexPlackett-Burman ex-perimentresponse surface optimization experiment

徐露、孙崇庆、许德华、严正娟、李雪、钟本和、王辛龙

展开 >

四川大学化学工程学院,教育部磷资源综合利用与清洁加工工程研究中心,成都 610065

豆渣 粗微晶纤维素 结晶指数 Plackett-Burman实验 响应面优化实验

2025

化学工业与工程
天津化工学会 天津大学

化学工业与工程

北大核心
影响因子:0.406
ISSN:1004-9533
年,卷(期):2025.42(1)