白酒糟中纤维素酶解工艺优化研究
Optimization of enzymatic hydrolysis process for cellulose in distiller's grain waste
徐健 1赵雨 2胡芳 3刘建忠 3程润喜 3汪江波2
作者信息
- 1. 工业发酵省部共建协同创新中心,发酵工程教育部重点实验室,工业微生物湖北省重点实验室,湖北工业大学生物工程与食品学院,湖北 武汉 430000;酿酒生物技术及应用四川省重点实验室,四川轻化工大学,四川 宜宾 644000
- 2. 工业发酵省部共建协同创新中心,发酵工程教育部重点实验室,工业微生物湖北省重点实验室,湖北工业大学生物工程与食品学院,湖北 武汉 430000
- 3. 路德环境科技股份有限公司,湖北 武汉 430000
- 折叠
摘要
为实现白酒糟资源的综合利用,探究了白酒糟渣中纤维素酶解的最佳工艺参数.以可发酵糖得率为评价指标,通过单因素实验探究了预处理条件(固液比、硫酸体积分数、处理温度、处理时间)及酶解条件(酶添加量)对酒糟中纤维素酶解效果的影响,在此基础上用神经网络分析结合遗传算法进行进一步优化.结果表明,白酒糟纤维素的最佳酶解工艺参数为:固液比为1∶10、硫酸体积分数为 7%、温度为170℃、时间为40 min、酶添加量为 23 FPU/g.此条件下酒糟纤维素酶解得到的可发酵糖总量为(19.77±0.56)g/L,得率为 88.97%.以该酶解液作为碳源进行丁醇发酵,溶剂(丁醇、乙醇、异丙醇和丙酮)总产量为1.56 g/L.
Abstract
The optimum technological parameters for enzymatic hydrolysis of cellulose in distiller's grains waste(DGW)are explored to realize the comprehensive utilization of DGW resources.Taking the yield of fermentable sugars as the evaluation index,the influences of pretreatment conditions(solid-liquid ratio,sulfuric acid volume fraction,treatment temperature,and treatment time)and enzymatic hydrolysis conditions(enzyme addition amount)on the enzymatic hydrolysis of cellulose in DGW are respectively investigated through single factor experiment.On this basis,both neural network analysis and genetic algorithm are employed to optimize the enzymatic hydrolysis process.As a result,the optimum parameters for enzymatic hydrolysis of cellulose in DGW are as follows:solid-liquid ratio is 1∶10(w/v),sulfuric acid concentration is 7%(v/v),temperature is 170℃,time is 40 min,and enzyme dosage is 23 FPU·g-1.Under these conditions,the total amount of fermentable sugars obtained by cellulose hydrolysis is 19.77±0.56 g·L-1,and the yield is 88.97%.Additionally,total yield of solvent(butanol,ethanol,isopropyl alcohol,and acetone)is 1.56 g·L-1 when the enzymatic hydrolysis solution as carbon source is conducted for butanol fermentation.
关键词
白酒糟/纤维素酶解/工艺优化/神经网络分析/丁醇发酵Key words
distiller's grain waste/enzymatic hydrolysis of cellulose/process optimization/neural network analysis/butanol fermentation引用本文复制引用
基金项目
湖北省重点研发计划项目(2021BGD016)
湖北省知识产权局项目(ZXKY2022498)
酿酒生物技术及应用四川省重点实验室开放课题(NJ2022-03)
出版年
2024
NETL
NSTL
万方数据