响应面法优化藜麦菜薹蛋白提取工艺研究

doi:10.19640/j.cnki.jtau.2025.05.002

Journal of Tianjin Agricultural University ›› 2025, Vol. 32 ›› Issue (5): 6-11.doi: 10.19640/j.cnki.jtau.2025.05.002

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

Han Xu, Chen Shuaijun^{Corresponding Author}, Zhang Yaru, Ding Bo, Cao Gaoyi, Xie Xiaodong

College of Agronomy and Resource Environment, Tianjin Agricultural University, Tianjin 300392, China

Received:2024-03-22 Published:2025-11-12

Abstract

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

CLC Number:

Han Xu, Chen Shuaijun, Zhang Yaru, Ding Bo, Cao Gaoyi, Xie Xiaodong. Optimization of extraction conditions for protein from Chenopodium quinoa using response surface methodology[J]. Journal of Tianjin Agricultural University, 2025, 32(5): 6-11.

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References

[1] CEN K,YU X,GAO C,et al.Effects of quinoa protein Pickering emulsion on the properties,structure and intermolecular interactions of myofibrillar protein gel[J]. Food Chemistry,2022,394:133456.
[2] 延莎,邢洁雯,王晓闻. 不同菌种发酵对藜麦蛋白质特性及脂质构成的影响[J]. 中国农业科学,2020, 53(10):2045-2054.
[3] 王丽娜,任翠梅,王明泽,等. 中国藜麦种质资源分布及研究现状[J]. 黑龙江农业科学,2020(12):142-145.
[4] 孙永杰,赵阳,肖颖,等. 超声波辅助碱溶酸沉法提取藜麦麸皮蛋白及特性[J]. 食品工业,2021,42(12):31-34.
[5] 马洪鑫,刘粟心,杨许花,等. 藜麦蛋白质提取工艺优化[J]. 农业科技与信息,2021(6):52-56.
[6] 王龙飞,王新伟,赵仁勇. 藜麦蛋白的特点、性质及提取的研究进展[J]. 食品工业,2017,38(7):255-258.
[7] 石振兴. 国内外藜麦品质分析及其减肥活性研究[D].北京:中国农业科学院,2016.
[8] 梁军林,李霞,李嘉奕,等. 藜麦产品研发现状及前景[J]. 粮食加工,2017,42(6):64-67.
[9] 叶凯,李小强,周金虎,等. 响应面法酶解藜麦蛋白制备α-淀粉酶抑制肽的工艺研究[J]. 中国调味品,2019,44(12):6-11.
[10] 许海波,代红发,李露敏,等. 樟树籽仁蛋白的物理性质及安全性的研究[J]. 食品工业,2016,37(3):200-204.
[11] 邢婕. 保健干预对预防儿童单纯性肥胖的效果[J]. 中国城乡企业卫生,2023,(3):62-64.
[12] 周学永,牛艳,杨利艳,等. 藜麦糠皮皂苷提取技术研究进展[J]. 食品安全质量检测学报,2024,15(2):258-265.
[13] CARRILLO-HORMAZA L,DUQUE L,LÓPEZ-PARRA S,et al. High-intensity ultrasound-assisted extraction of Garcinia madruno biflavonoids:Mechanism,kinetics,and productivity[J]. Biochem Eng J,2020,161:107676.
[14] 张华,赵大利,王丹,等. 超声辅助离子液体提取荷叶黄酮及其抗氧化活性[J]. 精细化工,2023,40(10):2241-2248.
[15] 陆敏佳,蒋玉蓉,陈国林,等. 藜麦叶片黄酮类物质的提取及基因型差异[J]. 浙江农林大学学报,2014,31(4):534-540.
[16] 袁晓瑞,陈贺宇,刘玉,等. 超声波辅助热碱法提取藜麦蛋白的工艺优化[J]. 食品工业科技,2022,43(13):190-197.
[17] 张兆云,周启萍,巩起福,等. “陇藜1号”藜麦籽实清蛋白提取工艺优化及抗氧化性测定[J]. 食品与发酵工业,2021,47(2):212-219.
[18] 邓丽莉,潘晓倩,生吉萍,等. 考马斯亮蓝法测定苹果组织微量可溶性蛋白含量的条件优化[J]. 食品科学,2012,33(24):185-189.
[19] 权帆,王文斌,朱玲丽,等. 藜麦蛋白提取工艺优化及其功能特性研究[J]. 中国调味品,2022,47(11):50-56.
[20] 蔡沙,施建斌,隋勇,等. 超声波辅助碱法提取麦麸蛋白工艺及特性研究[J]. 食品研究与开发,2018,39(19):57-62.
[21] 邱月. 雨生红球藻中藻蛋白制备工艺及其蛋白的结构与功能性研究[D]. 济南:济南大学,2020.
[22] 焦斐,杨倩,杨超,等. 陇藜1号藜麦清蛋白体外消化产物抗氧化活性及结构特征分析[J]. 食品科学技术学报,2023,41(3):116-126.
[23] 吴月红. 超声波辅助碱法提取藜麦蛋白的工艺研究[J].食品安全导刊,2023(24):143-147.
[24] 徐铭悦,刘清浩,谢龙,等. 超声辅助提取对藜麦麸皮蛋白结构及功能特性的影响[J]. 中北大学学报(自然科学版),2023,44(4):427-436.

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

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