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中国农学通报

中国农学通报 ›› 2015, Vol. 31 ›› Issue (24): 252-257.doi: 10.11924/j.issn.1000-6850.casb15050080

• 食品 营养 检测 安全 • 上一篇    下一篇

响应面法优化鸢尾中鸢尾酮萃取工艺

毛祝新,韩桂军,周军辉,崔新爱,陈 昊   

  1. (陕西省西安植物园,陕西省植物研究所,西安 710061）
  • 收稿日期:2015-05-15 修回日期:2015-07-29 接受日期:2015-06-25 出版日期:2015-08-26 发布日期:2015-08-26
  • 通讯作者: 陈昊
  • 基金资助:
    陕西省科学院青年基金项目“鸢尾酮主要前体物质的提取与检测方法和技术研究”(2012K-32)；陕西省科技计划项目“高鸢尾酮香料植物良种引进、栽培技术研究与示范”(2011NKC-15)；陕西省科学院基础应用项目“银州柴胡规范化种植技术的实验研究”(2010K-07)。

Optimization of Extraction Technology of Irones from Iris tectorum by Response Surface Methodology

Mao Zhuxin, Han Guijun, Zhou Junhui, Cui Xin’ai, Chen Hao   

  1. (Xi’ an Botanical Garden of Shaanxi Province, Institute of Botany of Shaanxi Province, Xi’an 710061)
  • Received:2015-05-15 Revised:2015-07-29 Accepted:2015-06-25 Online:2015-08-26 Published:2015-08-26

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摘要： 为缩短鸢尾酮萃取周期，本研究以新鲜鸢尾根为原料，通过亚硝酸盐氧化转化新途径，在单因素试验的基础上，用Design-Expert软件对数据进行二元回归分析，采用Box-Behnken响应面法对萃取工艺进行优化。结果发现：在萃取温度30℃条件下，亚硝酸盐浓度0.9 g/L、液料比12:1 (mL/g)、萃取时间 60 h，鸢尾酮萃取率达到0.30 g/kg。用优化的工艺条件进行了3次平行实验，与预测值的相对误差为3.33%。本研究采用的亚硝酸盐氧化萃取新途径，可直接从新鲜鸢尾根中萃取鸢尾酮，而且该工艺经响应面法优化后，更为稳定、可行，具有较高的推广和应用价值。

关键词: 连栋温室, 连栋温室, 天沟, 可透光, 设计

Abstract: The objective of this study was to shorten irones production cycle. Fresh iris rhizome was used as raw material, nitrite oxidation conversion was used as a new method, on the basis of single factor experiments, the data were used to make regression analysis with Design-Expert software, and the extraction process was optimized by response surface methodology. The result showed that, under the condition of extraction temperature 30℃, nitrite concentration at 0.9 g/L, liquid-to-solid ratio at 12:1 (mL/g), the extraction time at 60 h, the extraction yield of irones could reach 0.30 g/kg. In order to confirm the stability of the new process, three parallel experiments were performed with the new method, and the relative error of the method was found to be 3.33%. The new method of nitrite oxidation extraction in the present study could extract irones from the fresh rhizome of iris. And the method was optimized by response surface methodology, which made the method more stable and feasible. It concluded that the new method was worth popularization and application.