| 何东平，程雪，马军，等.超声辅助复合酶酶解制备大豆多肽工艺的优化[J].中国油脂,2018,43(7):.[HE Dongping, CHENG Xue, MA Jun，etc.Optimization of enzymatic preparation process of soybean peptide by ultrasound-assisted complex enzyme[J].China Oils and Fats,2018,43(7):.] |
| 超声辅助复合酶酶解制备大豆多肽工艺的优化 |
| Optimization of enzymatic preparation process of soybean peptide by ultrasound-assisted complex enzyme |
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| DOI： |
| 中文关键词: 大豆多肽 超声波 复合酶酶解 响应面 |
| 英文关键词:soybean peptide ultrasound complex enzyme enzymolysis response surface methodology |
| 基金项目: |
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| 中文摘要: |
| 以大豆分离蛋白为原料，采用超声辅助复合酶酶解制备大豆多肽，以单因素实验为基础，选择复合酶添加量、酶解时间、酶解温度以及酶解pH为自变量，大豆多肽得率为响应值，采用响应面分析法研究各自变量及其交互作用对大豆多肽得率的影响，并对大豆多肽的相对分子质量分布进行测定。结果表明，影响大豆多肽得率的各因素强弱顺序为：酶解温度>复合酶添加量>酶解时间>酶解pH；超声辅助复合酶酶解制备大豆多肽的最佳工艺条件为超声功率180 W、超声时间10 min、超声温度35?℃、碱性蛋白酶与中性蛋白酶质量比3∶?1、复合酶添加量2.04%、酶解时间4.0 h、酶解温度59?℃、酶解pH 8.0，在此条件下大豆多肽得率为63.27%，相对分子质量大部分集中在1 000以下。 |
| 英文摘要: |
| With soybean protein isolate as raw material, soybean peptide was prepared by ultrasound-assisted complex enzyme enzymolysis. On the basis of single factor experiment, with dosage of complex enzyme, enzymolysis time, enzymolysis temperature, and enzymolysis pH as independent variable, soybean peptide yield as response value, the effects of every independent variable as well as their interaction on the soybean peptide yield were researched by response surface methodology. The relative molecular weight of the soybean peptide was determined. The results showed that the effect of enzymolysis temperature on soybean peptide yield was the strongest, followed by dosage of complex enzyme, enzymolysis time and enzymolysis pH. The optimal ultrasound-assisted complex enzyme enzymolysis conditions were obtained as follows: ultrasonic power 180 W, ultrasonic time 10 min, ultrasonic temperature 35?℃, mass ratio of alkaline protease to neutral protease 3∶?1, dosage of complex enzyme 2.04%, enzymolysis time 40 h, enzymolysis temperature 59?℃ and enzymolysis pH 8.0.Under these conditions, the soybean peptide yield was 63.27%, and the relative molecular weight of most soybean peptide was below 1 000. |
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