| 响应面优化花生叶可溶性蛋白提取工艺及抗氧化活性分析 |
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| 引用本文： | 高琦,刘梓蘅,耿艺,金小义,吴嘉乐,卢雅婷,张倩,薛友林.响应面优化花生叶可溶性蛋白提取工艺及抗氧化活性分析[J].核农学报,2020,34(4):796-804. |
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| 作者姓名： | 高琦 刘梓蘅 耿艺 金小义 吴嘉乐 卢雅婷 张倩 薛友林 |
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| 作者单位： | 1 辽宁大学轻型产业学院,辽宁 沈阳 110036; 2 中共辽宁省委党校, 辽宁 沈阳 110161 |
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| 基金项目： | 辽宁省教育厅科学技术研究项目;辽宁大学大学生创新创业训练计划;辽宁省兴辽英才计划项目 |
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| 摘 要： | 为确定花生叶可溶性蛋白提取最佳工艺,本试验以花生叶为材料,利用碱溶酸沉法提取花生叶可溶性蛋白,分析浸提pH值、料液比及提取时间对蛋白提取率的影响;在单因素试验的基础上,采用Box-Behnken响应面分析法(RSM)优化花生叶可溶性蛋白提取条件,并对所得蛋白进行抗氧化活性分析。结果表明,各影响因素主次顺序为浸提pH值>提取时间>料液比,最佳提取条件为料液比1∶20(w/v)、提取时间40 min、浸提pH值 9.0,以此条件建立的响应面试验回归模型拟合性好(R2=0.992 7),花生叶可溶性蛋白理论提取率为52.8%,实际提取率为54.2%,纯度为63.8%。花生叶可溶性蛋白具有较强的DPPH自由基、超氧阴离子自由基清除能力,以及较好的还原能力。本研究结果为花生叶的开发利用及花生产业链的延长提供了一定的数据支持。
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| 关 键 词： | 花生叶蛋白 响应面法 提取工艺 抗氧化 |
| 收稿时间： | 2019-01-02 |
Optimization of the Extraction Process of Soluble Protein From Peanut Leaf by Response Surface Methodology and Its Antioxidant Activity |
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| GAO Qi,LIU Ziheng,GENG Yi,JIN Xiaoyi,WU Jiale,LU Yating,ZHANG Qian,XUE Youlin.Optimization of the Extraction Process of Soluble Protein From Peanut Leaf by Response Surface Methodology and Its Antioxidant Activity[J].Acta Agriculturae Nucleatae Sinica,2020,34(4):796-804. |
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| Authors: | GAO Qi LIU Ziheng GENG Yi JIN Xiaoyi WU Jiale LU Yating ZHANG Qian XUE Youlin |
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| Institution: | 1 College of Light Industry, Liaoning University, Shenyang, Liaoning 110036; 2 Party School of Liaoning Provincial Party Committee, Shenyang, Liaoning 110161 |
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| Abstract: | The effects of extraction pH, solid-liquid ratio and extraction together with the alkalidissolution and acid precipitation method, time on the protein extraction rate were investigated for the extraction process of peanut soluble leaf proteins. Based on the results of single factor tests, the Box-Behnken design and response surface method (RSM) were applied to optimize the extraction rate and the antioxidant activities of peanut leaf soluble proteins were also investigated. The results showed that the order of factors affecting the extraction rate of peanut leaf proteins was pH>extraction time>solid-liquid ratio, and the optimal conditions were: pH9, liquid-solid ratio 1:20(w/v)and extraction time 40 min. The regression model obtained was highly significant (R2=0.992 7), showing excellent goodness-of-fit. The predicted peanut soluble leaf protein extraction rate was 52.8% and the actual protein extraction rate was 54.2% with 63.8% purity, which showed strong DPPH and superoxide anion radical scavenging abilities and good reducing power. The results of this study could provide a theoretical support for the development and utilization of peanut leaves and the extension of the value chain peanut industry. |
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| Keywords: | peanut leaves protein response surface method extraction process antioxidant |
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