[1]罗璇.磁性复合载体固定生姜蛋白酶的工艺优化研究[J].中国调味品,2019,(11):85-90.
 Optimization of Immobilized Ginger Protease by Magnetic Composite Carrier[J].CHINA CONDIMENT,2019,(11):85-90.
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磁性复合载体固定生姜蛋白酶的工艺优化研究()
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《中国调味品》[ISSN:1000-9973/CN:23-1299/TS]

卷:
期数:
2019年11期
页码:
85-90
栏目:
出版日期:
2019-11-20

文章信息/Info

Title:
Optimization of Immobilized Ginger Protease by Magnetic Composite Carrier
作者:
罗璇
文献标志码:
A
摘要:
文章以生姜为原料,首次采用海藻酸钠和明胶包埋Fe3O4以得到凝胶微球载体,利用Box-Behnken响应面分析法对磁性复合载体固定化生姜蛋白酶的工艺进行优化。在单因素试验结果的基础上,以固定化生姜蛋白酶酶活力为响应值,利用响应面分析法研究各因素及其交互作用对固定生姜蛋白酶效果的影响,建立预测模型,确定最佳工艺条件。结果表明:磁性复合载体固定生姜蛋白酶的最佳条件为Fe2+:Fe3+体积比为0.75:1、磁核量Fe3O4为3.0mg/mL、海藻酸钠与明胶体积比为2:1、戊二醛浓度3%、交联时间1.5h、固定时间60min,pH值4.4、酶量30m/g。该条件下固定化酶活力的预测值为50.39U/g,后进行3 次平行验证实验,得到固定化生姜蛋白酶的活力为52.63U/g,与预测值接近,证明了此模型的合理性。
Abstract:
In this paper,Fe3O4 was embedded in sodium alginate and gelatin to obtain a gel microsphere carrier for the first time,using the response surface method to optimize the process conditions of optimization of immobilized ginger protease by magnetic composite carrier by Box-Behnken response surface methodology from the ginger . Based on the single factor experiment,with enzyme activity of immobilized ginger protease as a response, using the response surface method studied the factors and their interactions of immobilized ginger protease effect and the prediction model was established,determine the optimum process conditions.The results show that the optimun conditions for immobilized ginger protease with magnetic composite support are as follows:Fe2+:Fe3+ volume ratio is 0.75:1, magnetic core The amount of Fe3O4 is 3.0 mg/mL, the volume ratio of sodium alginate to gelatin is 2:1, the concentration of glutaraldehyde is 3%, the mass fraction of calcium chloride is 2%, the crosslinking time is 1.5 h, the fixation time is 60 min, and the PH is 4.4. The amount of enzyme was 30 m/g, and the predicted enzyme activity under this condition was 50.39 U/g. Under three conditions of parallel verification experiments, the activity of immobilized ginger protease was 52.63 U/g, proximity to the predicted value, proving the rationality of this model
更新日期/Last Update: 2020-07-30