辽宁石油化工大学学报

辽宁石油化工大学学报 ›› 2017, Vol. 37 ›› Issue (1): 18-23.DOI: :10.3969/j.issn.1672-6952.2017.01.004

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响应面法优化白花菜中黄酮类化合物的提取研究

王 菲,山显彤,张家境,王战勇   

  1. 辽宁石油化工大学化学化工与环境学部,辽宁抚顺113001
  • 收稿日期:2016-05-12 修回日期:2016-06-29 出版日期:2017-02-24 发布日期:2017-03-16
  • 作者简介:王菲(1982-),女,博士,讲师,从事食品生物技术研究;E-mail:107806708@qq.com。
  • 基金资助:
    辽宁省高等学校杰出青年学者成长计划项目(LJQ2014040)。

Optimization on the Extraction Conditions of Flavonoids from Cauliflower Using Response Surface Methodology

  • Received:2016-05-12 Revised:2016-06-29 Published:2017-02-24 Online:2017-03-16

摘要: 采用超声波辅助溶剂浸提法提取白花菜中的黄酮化合物,通过响应面法优化最佳提取条件。考察单因素(乙醇体积分数、液固比、超声功率、超声时间、水浴温度、水浴时间和提取次数)对白花菜黄酮得率的影响,在此基础上,进行Box-Behnken响应面优化试验,分析并确定了最佳提取条件:乙醇体积分数65%、液固比(mL/g)32∶1、超声功率30W、超声时间5min、水浴温度50℃、水浴时间40min、提取次数1次。在最佳提取条件下,白花菜黄酮的实际得率为1.9745mg/g,与预期值十分接近。

关键词: 白花菜, 黄酮类化合物, 提取, 响应面法

Abstract:

The flavonoids was extracted from cauliflower by using ultrasonicassisted solvent  and the response surface methodology was used to optimize the extraction conditions. Firstly, the effects of different extraction factors (ethanol concentration, liquidmaterial ratio, ultrasonic power, ultrasonic time, bath temperature, bath time and extraction times) on flavonoids yield were studied. And then, Box-Behnken response surface optimization test was carried on the basic of singer factor test result. The optimal conditions were as follows: 65% ethanol, liquid-solid ratio 32∶1 mL/g, ultrasonic power 30 W, ultrasonic time 5 min, bath temperature 50 ℃, bath time 40 min, and extraction time 1. Under this optimum conditions, the actual yield of flavonoids was 1.974 5 mg/g, and it was very close to the prediction value.
 

Key words: Cauliflower, Flavonoids, Extraction, Response surface methodology

引用本文

王 菲, 山显彤, 张家境, 王战勇. 响应面法优化白花菜中黄酮类化合物的提取研究[J]. 辽宁石油化工大学学报, 2017, 37(1): 18-23.

WangFei, ShanXiantong, ZhangJiajing, WangZhanyong. Optimization on the Extraction Conditions of Flavonoids from Cauliflower Using Response Surface Methodology[J]. Journal of Liaoning Petrochemical University, 2017, 37(1): 18-23.

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链接本文: https://journal.lnpu.edu.cn/CN/:10.3969/j.issn.1672-6952.2017.01.004

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