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响应曲面法优化莲房原花青素提取工艺研究
引用本文:陈卫航,谭美亭,张婕. 响应曲面法优化莲房原花青素提取工艺研究[J]. 郑州大学学报(工学版), 2012, 33(2): 31-35
作者姓名:陈卫航  谭美亭  张婕
作者单位:郑州大学化工与能源学院,河南郑州,450001
基金项目:河南省重点科技攻关计划资助项目(082102270005)
摘    要:在单因素试验基础上,采用4因素3水平的响应曲面实验方法,对莲房中原花青素的乙醇提取工艺条件进行了优化,并研究各自变量之间的交互作用对莲房原花青素提取量的影响.应用Design Ex-pert 7.1.6软件,模拟得到二次多项式回归方程的预测模型,并确定乙醇提取莲房原花青素的最佳工艺条件为∶乙醇体积分数为50%、液料比25 mL/g、提取温度55℃和提取时间60 min.在此条件下,提取1次,莲房原花青素提取量为6.678 mg/100 g,与预测值6.693 mg/100 g接近,证明此模型是合理可靠的,可用于实际预测.

关 键 词:莲房  原花青素  提取工艺  响应曲面法

Optimizing Procyanidins Extraction from Lotus Seed Pot with Response Surface Methodology
CHEN Wei-hang , TAN Mei-ting , ZHANG Jie. Optimizing Procyanidins Extraction from Lotus Seed Pot with Response Surface Methodology[J]. Journal of Zhengzhou University: Eng Sci, 2012, 33(2): 31-35
Authors:CHEN Wei-hang    TAN Mei-ting    ZHANG Jie
Affiliation:(School Chemical Engineering and Energy,Zhengzhou University,Zhengzhou 450001,China)
Abstract:On the basis of single-factor test,the response surface methodology(RSM) with 4 factors and 3 levels was adopted to optimize ethanol extraction technology of procyanidins from Lotus Seed Pot(LSPC).The interactive effects of the parameters on LSPC yield were investigated.Design Expert 7.1.6 software was used to fit experimental data and a quadratic polynomial regression model was developed for LSPC yield as a response to the parameters.Results showed that the optimal value of extraction conditions were as follows: ethanol concentration 50%,solvent/material ratio 25 mL/g,extraction temperature 55℃and extraction time 60 min.Under such conditions and extraction 1 time,the yield of LSPC was up to 6.678 mg/100 g,which is close to the predictive yield(6.693 mg/100 g).This model is reasonable and reliable,and can be used in the actual forecast.
Keywords:lotus seed pot  procyanidins  extraction technology  response surface methodology
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