摘要
目的:优化京尼平苷的酶解工艺。方法:以京尼平含量为响应值,在单因素实验基础上,以酶添加量、酶解温度、酶解时间、p H为实验因素,采用响应面法建立数学模型,筛选最佳酶解工艺条件。结果:通过二次回归模型响应面分析,影响京尼平苷酶解的因素按主次顺序排列为:酶添加量>酶解温度>p H>酶解时间;确定京尼平苷酶解最佳工艺条件为酶添加量6.6 m L(约140 U),酶解温度56.5℃,酶解时间150 min,p H4.0,此条件下京尼平含量为4.66 mg/m L,模型方程理论预测值为4.80 mg/m L,两者相对误差小于3%。结论:采用响应面法优化得到了京尼平苷酶解的最佳工艺,该工艺方便可行。
Objective:This study aimed to optimize the enzymlysis conditions of geniposide. Method:Genipin concentration as response value,the experimental factors including enzyme concentration,enzymlysis temperature,pH and enzymlysis time were investigated to optimize the enzymlysis conditions of geniposide, and the mathematical mode was established by response surface method (RSM).Result:The optimum conditions obtained by RSM were as follows, genipin yield was most significantly affected by enzyme concentration ,followed by enzymlysis temperature, pH and enzymlysis time.The concentration of β-glycosidase was 6.6 mL( 140 U) , enzymlysis temperature was 56.5 ℃, pH was 4.0, enzymlysis time was 150 min.Under the optimal conditions, the predicted genipin concentration by mathematical model was 4.80 mg/mL, while the experimental concentration was 4.66 mg/mL,with a difference of less than 3%.Conclusion:The optimum enzymlysis conditions of geniposide by RSM was convenient and feasible.
出处
《食品工业科技》
CAS
CSCD
北大核心
2017年第7期226-229,234,共5页
Science and Technology of Food Industry
基金
广西自然科学基金项目(青年项目)(2013GXNSFBA019178)
广西高校科学技术研究项目(一般项目)(2013YB195)
广西大学生创新创业训练项目(201610606027)
广西高等教育本科教学改革工程项目(2015JGB351)
玉林市科学研究与技术开发计划项目(玉市科攻1621021)