天津农学院学报 ›› 2025, Vol. 32 ›› Issue (5): 6-11.doi: 10.19640/j.cnki.jtau.2025.05.002

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响应面法优化藜麦菜薹蛋白提取工艺研究

韩旭, 陈帅君通信作者, 张亚茹, 丁博, 曹高燚, 谢晓东   

  1. 天津农学院 农学与资源环境学院,天津 300392
  • 收稿日期:2024-03-22 发布日期:2025-11-12
  • 通讯作者: 陈帅君(1982—),女,副教授,硕士,研究方向:生物技术育种。E-mail:86895955@qq.com。
  • 作者简介:韩旭(2002—),女,本科在读,研究方向:动植物抗逆机理研究。E-mail:2497376815@qq.com。
  • 基金资助:
    天津市大学生创新创业训练计划项目(202210061071); 天津市教委科研计划项目(2020KJ098)

Optimization of extraction conditions for protein from Chenopodium quinoa using response surface methodology

Han Xu, Chen ShuaijunCorresponding Author, Zhang Yaru, Ding Bo, Cao Gaoyi, Xie Xiaodong   

  1. College of Agronomy and Resource Environment, Tianjin Agricultural University, Tianjin 300392, China
  • Received:2024-03-22 Published:2025-11-12

摘要: 以‘津藜3号'藜麦菜薹为试验材料,采用超声波辅助法破碎细胞,用碱溶酸沉法提取藜麦菜薹的可溶性蛋白,以优化藜麦菜薹蛋白的提取工艺。通过单因素试验法结合响应面法分析了温度、料液比、浸提时间和pH对提取率的影响,最终确定最优提取工艺条件为:温度35 ℃,料液比1∶40(g/mL),浸提时间1.5 h,pH 4.5±0.05。在此条件下,藜麦菜薹的蛋白提取率最高可达55.01%。本研究可为藜麦菜薹蛋白的开发利用提供理论依据。

关键词: 藜麦菜薹, 蛋白提取, 响应面法, 工艺优化

Abstract: In this study, ‘Jinli No. 3 'Chenopodium quinoa cabbage were used as the experimental material. Cell disruption was achieved using ultrasonic-assisted extraction, and alkaline extraction-acid precipitation method was employed to extract soluble proteins from quinoa cabbage. The extraction process of quinoa cabbage protein was optimized. The effects of temperature, liquid-to-material ratio, extraction time, and pH on the extraction rate were explored using single-factor experiments combined with response surface methodology. The optimal extraction conditions for Jinli No. 3 C. quinoa cabbage protein was determined as follows: temperature of 35 ℃, liquid-to-material ratio of 1∶40(g/mL), extraction time of 1.5 h, and pH of 4.5±0.05. The maximum extraction rate of C. quinoa cabbage protein could reach 55.01%. The results of this study can provide experimental basis for the development and utilization of chenopodium quinoa cabbage protein.

Key words: flowering Chinese cabbage, protein extraction, response surface methodology, process optimization

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