杨伟强,杜德红,江 晨,于丽娜,王明清,韩守萍,宋 昱,孙 杰,毕 洁,张初署,徐同成.超声波辅助花生浓缩蛋白糖基化改性研究[J].食品安全质量检测学报,2020,11(3):830-840 |
超声波辅助花生浓缩蛋白糖基化改性研究 |
Evaluation of ultrasonic assisted glycosylation modification of peanut protein concentrate |
投稿时间:2019-10-16 修订日期:2020-01-15 |
DOI: |
中文关键词: 花生浓缩蛋白 糖基化改性 超声波辅助 乳化性质 |
英文关键词:peanut protein concentration glycosylation modification ultrasonic assisted extraction emulsifying properties |
基金项目:山东省农业科学院农业科技创新工程(CXGC2016B16, CXGC2018E21)、山东省2018年度农业重大应用技术创新项目、青岛市民生科技计划项目(19-6-1-61-nsh)、国家重点研发计划项目(2018YFD0300605)、山东省自然科学基金(ZR2017MC062, ZR2017MC060, ZR2016YL021, ZR2016CM43)、2019年山东省人才引进成果示范推广项目、山东省农业重大应用技术(SD2019ZZ0121-1) |
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中文摘要: |
目的 研究超声波辅助花生浓缩蛋白糖基化改性工艺。方法 以低温冷榨花生蛋白粉为原料, 以糖基化改性蛋白的乳化活性指数(emulsifying activity index, EAI)和乳化稳定性指数(emulsifying stability index, ESI)为考察指标, 采用单因素和响应面实验优化工艺条件。结果 超声波辅助花生浓缩蛋白糖基化改性的最优工艺参数为蛋白浓度5.0 mg/mL、糖浓度104 mg/mL、pH值8.5、反应温度57 ℃、反应时间43 min、超声波功率210 W、超声波频率45 kHz; 此工艺条件下的EAI和ESI理论值分别为47.40 m2/g和69.13%, 验证实验值分别为(48.61±0.32) m2/g和(67.59±2.08)%; EAI和ESI值的实验值与理论值相差分别为2.55%和2.23%。在pH 2~12范围内, 糖基化改性花生浓缩蛋白的乳化活性高于未改性蛋白。结论 本研究的响应面模型与实际情况拟合较好, 验证了所预测模型的正确性, 为花生浓缩蛋白糖基化改性的制备和应用提供理论基础。 |
英文摘要: |
Objective To investigate the optimization process of glycosylation modification of peanut protein concentrate with ultrasonic assisted extraction. Methods Optimization of process conditions were determined by single factor and response surface experiments using the low temperature pressed peanut protein powder as the raw material and the emulsifying activity index (EAI) and emulsion stability index (ESI) as main value indexes. Results The optimum conditions obtained were protein concentration of 5.0 mg/mL, glucose concentration of 104 mg/mL, pH value of 8.5, reaction temperature of 57 ℃, reaction time of 43 min, ultrasonic power of 210 W and ultrasonic frequency of 45 kHz. The model predictive values of EAI and ESI could reach 47.40 m2/g and 69.13%, respectively, and the verification experiment values were (48.61±0.32) m2/g and (67.59±2.08)%, respectively. The differences between the experimental and model predictive values were 2.55% and 2.23%, respectively. In the range of pH 212, the emulsifying properties of glycosylated peanut protein concentrate were higher than those of unmodified protein. Conclusion The response surface model of this study fits well with the actual situation. And the correctness of the predicted model is verified. Therefore, this study provides a theoretical basis for the preparation and application of glycosylation modification of peanut protein concentrate. |
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