响应面分析法优化富硒灰树花水溶性含硒蛋白的提取工艺

doi:10.19586/j.2095-2341.2016.0157

生物技术进展 ›› 2017, Vol. 7 ›› Issue (3): 247-252.DOI: 10.19586/j.2095-2341.2016.0157

响应面分析法优化富硒灰树花水溶性含硒蛋白的提取工艺

邓春萌1,李倩2,王未2,张伟杰2,于萍3,茆广华1*,赵婷3,冯伟伟1,仰榴青3,吴向阳1*

1.江苏大学环境与安全工程学院, 江苏镇江 212013;

2.江苏大学食品与生物工程学院, 江苏镇江 212013;

3.江苏大学化学化工程学院, 江苏镇江 212013

收稿日期:2016-12-07 出版日期:2017-05-25 发布日期:2017-01-25
通讯作者: 茆广华，副教授，主要从事天然产物活性成分及应用研究。E-mail:maoyun82@sina.com。吴向阳，教授，博士生导师，主要从事天然产物活性成分及应用研究。E-mail:wuxy@ujs.edu.cn
作者简介:邓春萌，硕士研究生，主要从事环境化学与毒理学研究。E-mail: 82654760@qq.com。
基金资助:
江苏大学高级人才启动基金项目（15JDG031）资助。

Optimization of Extraction of Water-soluble Selenium-containing Protein from Se-enriched Maitake by Response Surface Methodology

DENG Chunmeng, LI Qian, WANG Wei, ZHANG Weijie, YU Ping, MAO Guanghua, ZHAO Ting, FENG Weiwei, YANG Liuqing, WU Xiangyang#br#

1.School of the Environment and Safety Engineering, Jiangsu University, Jiangsu Zhenjiang 212013, China;

2.School of Food and Biological Engineering, Jiangsu University, Jiangsu Zhenjiang 212013, China;

3.School of Chemistry and Chemical Engineering, Jiangsu University, Jiangsu Zhenjiang 212013, China

Received:2016-12-07 Online:2017-05-25 Published:2017-01-25

摘要/Abstract

摘要： 为了研究富硒灰树花水溶性含硒蛋白的最优提取工艺，在单因素实验的基础上，以提取得率为响应值，提取温度、时间和料液比为响应因子，采用3因素3水平的响应面法分析，建立数学模型并获得最佳工艺条件。结果显示，富硒灰树花水溶性含硒蛋白的最佳提取工艺条件为：提取温度42.3℃，提取时间7.8 h，料液比1∶23.9（g/mL）；该工艺条件下，含硒蛋白得率和含量分别为4.36%和44.01%。结果表明所得回归方程拟合情况良好，可用于预测富硒灰树花水溶性含硒蛋白的提取得率。

关键词: 响应面, 富硒灰树花, 含硒蛋白

Abstract: The research aimed to optimize the extraction technology of water-soluble selenium-containing protein from selenium-enriched maitake. Based on the single factor experiments, extraction conditions including extraction temperature, extraction time and liquid-solid ratio were optimized using response surface methodology taking Se-containing protein extraction rate as responses value. The mathematical model was established. The extraction conditions were optimized. The optimal conditions were as follows: the extraction temperature was 42.3℃, extraction time was 7.8 h, and the ratio of material to water was 1∶23.9 (g/mL). In these conditions, the yield and content of se-containing protein were 4.36% and 44.01%, respectively. The experiment results of extraction ratio fit well with theoretical values. Furthermore, the established regression model can be used to predict extraction yield of selenium-containing protein in actual process.

Key words: response surface methodology, selenium-enriched maitake, selenium-containing protein

邓春萌,李倩,王未,张伟杰,于萍,茆广华,赵婷,冯伟伟,仰榴青,吴向阳. 响应面分析法优化富硒灰树花水溶性含硒蛋白的提取工艺[J]. 生物技术进展, 2017, 7(3): 247-252.

DENG Chunmeng1, LI Qian2, WANG Wei2, ZHANG Weijie2, YU Ping3, MAO Guanghua1*, ZHAO Ting3, FENG Weiwei1, YANG Liuqing3, WU Xiangyang1*. Optimization of Extraction of Water-soluble Selenium-containing Protein from Se-enriched Maitake by Response Surface Methodology[J]. Curr. Biotech., 2017, 7(3): 247-252.

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响应面分析法优化富硒灰树花水溶性含硒蛋白的提取工艺

Optimization of Extraction of Water-soluble Selenium-containing Protein from Se-enriched Maitake by Response Surface Methodology

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