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响应面试验优化碱溶酸沉法提取山药储藏蛋白工艺
引用本文:赵 月,高 琦,王晓文,贾有峰,张俊伟,艾辛梓,薛友林. 响应面试验优化碱溶酸沉法提取山药储藏蛋白工艺[J]. 食品科学, 2015, 36(16): 7-11. DOI: 10.7506/spkx1002-6630-201516002
作者姓名:赵 月  高 琦  王晓文  贾有峰  张俊伟  艾辛梓  薛友林
作者单位:1.辽宁大学生命科学院,辽宁 沈阳 110036;2.辽宁大学轻型产业学院,辽宁 沈阳 110036;3.辽宁行政学院,辽宁 沈阳 110161
基金项目:国家自然科学基金青年科学基金项目(31201285);教育部留学回国人员科研启动基金项目(教外司留2013693);
辽宁省教育厅科学研究一般项目(L2014009);
辽宁大学大学生创新创业训练计划项目(201410140000010;X201410140105)
摘    要:以河南焦作白玉山药为原材料,在单因素试验的基础上,采用响应面法中的Box-Behnken试验设计,对影响山药储藏蛋白提取率的3 个影响因素即抽提pH值、液料比和抽提时间进行优化。结果表明:各因素对山药储藏蛋白提取率有显著影响,因素影响主次顺序为:抽提pH值>液料比>抽提时间,提取山药储藏蛋白的最佳工艺条件为抽提pH 8.5、液料比3∶1(mL/g)、抽提时间20 min,在此条件下山药储藏蛋白提取率的最大理论值为57.88%,实际蛋白提取率为57.74%。所得山药储藏蛋白提取回归模型显著,拟合性好,可用于预测山药储藏蛋白提取率。

关 键 词:山药储藏蛋白  响应面法  提取工艺  优化  

Optimization of Extraction Conditions for Yam Storage Proteins through Alkali-Extraction and Acid-Precipitation by Response Surface Methodology
ZHAO Yue,GAO Qi,WANG Xiaowen,JIA Youfeng,ZHANG Junwei,AI Xinzi,XUE Youlin. Optimization of Extraction Conditions for Yam Storage Proteins through Alkali-Extraction and Acid-Precipitation by Response Surface Methodology[J]. Food Science, 2015, 36(16): 7-11. DOI: 10.7506/spkx1002-6630-201516002
Authors:ZHAO Yue  GAO Qi  WANG Xiaowen  JIA Youfeng  ZHANG Junwei  AI Xinzi  XUE Youlin
Affiliation:1. College of Life Science, Liaoning University, Shenyang 110036, China; 2. College of Light Industry, Liaoning University,Shenyang 110036, China; 3. Liaoning Administrative College, Shenyang 110161, China
Abstract:The extraction of storage proteins from ‘Baiyu’ yam tubers grown in Jiaozuo, Henan province was optimized
using combination of one-factor-at-a-time method, Box-Behnken design (BBD) and response surface methodology (RSM).
Three factors influencing the extraction yield of yam storage proteins, i.e., pH, liquid/material ratio and extraction time
were investigated. The results showed that all these three factors had a notable effect on the extraction yield of yam storage
proteins and their significance could be ranked in a decreasing order of pH > liquid/material ratio > extraction time. The
optimal extraction conditions were determined as 8.5, 3:1 (mL/g) and 20 min for pH, liquid/material ratio and extraction
time, respectively. The predicted extraction yield of yam storage proteins under the optimized conditions was 57.88%,
agreeing with the experimental value (57.74%). The regression model predicting the extraction of yam storage proteins was
highly significant and had excellent goodness of fit, suggesting its usefulness.
Keywords:yam storage proteins  response surface methodology  extraction process  optimization  
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