摘要
根据Box-Behnken Design(BBD)法设计原理,采用3因素3水平的响应面法,对烟梗中纤维素和果胶的酶解条件进行了优化研究,建立的二次回归模型达到极显著水平。依据回归分析确定的最优处理条件为:纤维素酶2.00%、果胶酶2.00%、处理时间60 min。验证试验结果表明,建立的响应面回归模型适用于烟梗细胞壁物质含量的预测,优化结果合理可靠。按此条件处理后,烟梗中的纤维素和果胶含量分别降低了5.88和1.13个百分点。
According to the principle of Box-Behnken Design（ BBD）,the author adopted response surface methodology with3 factors and 3 levels each factor to optimize the conditions for the enzymolysis of cellulose and pectin in tobacco stem,and established a quadric polynomial regression model which reached to a very significant level. Based on the established regression model,the optimum enzymolysis conditions were obtained as follows： cellulase 2. 00%,pectinase 2. 00%,and treatment time 60 min.The results of verification experiments showed that the established response-surface regression model was suitable for the prediction of the content of cytoderm substances in tobacco stem,and the optimized results were reasonable and reliable. After treating tobacco stem with 2.00% cellulase and 2.00% pectinase for 60 min,the contents of cellulose and pectin in tobacco stem were reduced by 5.88 and 1.13 percent,respectively.
出处
《江西农业学报》
CAS
2016年第8期46-50,共5页
Acta Agriculturae Jiangxi
基金
云南中烟工业有限责任公司资助项目"烟梗及梗丝价值提升工艺技术研究"(2012GY08)
红云红河烟草(集团)有限责任公司资助项目"打烤烟梗特色工艺及关键技术研究"(HYHH2012GY10)
关键词
烟梗
纤维素
果胶
响应面分析
生物酶
Tobacco stem
Cellulose
Pectin
Response surface methodology
Bio-enzyme
