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| 超声-微波协同提取超级黑糯玉米芯色素的工艺研究 | |
| 引用本文： | 盛玮,高翔,薛建平,谢笔钧.超声-微波协同提取超级黑糯玉米芯色素的工艺研究[J].中国粮油学报,2011,26(9):38-43. |
| 作者姓名： | 盛玮 高翔 薛建平 谢笔钧 |
| 作者单位： | 1. 淮北师范大学生命科学学院,淮北235000;华中农业大学食品科技学院,武汉430070;资源植物生物学安徽省重点实验室,淮北235000 2. 淮北师范大学生命科学学院,淮北235000;资源植物生物学安徽省重点实验室,淮北235000 3. 华中农业大学食品科技学院,武汉,430070 |
| 基金项目： | 安徽省教育厅自然科学基金项目(KJ2009B065,KJ2011A253); 资源植物生物学安徽省重点实验室开放基金项目(KLRB200912); 淮北市产学研项目(2009020) |
| 摘 要： | 为确定超级黑糯玉米芯色素提取的最佳工艺,以超级黑糯玉米芯为主要原料,在单因素试验基础上采用Box-Behnken中心组合试验设计和响应面(RSM)分析法,建立超声-微波协同提取超级黑糯玉米芯色素的二次回归方程,并以色素提取液吸光度为响应值绘制响应面图和等高线图。考察了提取时间、微波功率及料液比对色素提取率的影响。结果表明:提取时间、微波功率及料液比对色素提取率影响极显著;最佳工艺条件为提取时间176 s,微波功率356 W,料液比1∶27(g/mL),在此条件下色素提取率达93.61%,产率达16.37%。 |
| 关 键 词： | 超声-微波协同萃取 超级黑糯玉米芯 色素 提取工艺 响应面法 |
Study on Ultrasonic- Microwave Synergistic Extraction of Pigment from Super Black Glutinous Corncob |
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| Sheng Wei,Gao Xiang,Xue Jianping,Xie Bijun.Study on Ultrasonic- Microwave Synergistic Extraction of Pigment from Super Black Glutinous Corncob[J].Journal of the Chinese Cereals and Oils Association,2011,26(9):38-43. | |
| Authors: | Sheng Wei Gao Xiang Xue Jianping Xie Bijun |
| Affiliation: | Sheng Wei1,2,3 Gao Xiang1,3 Xue Jianping1,3 Xie Bijun2 (College of Life Sciences,Huaibei Normal University1,Huaibei 235000)(College of Food Science and Technology,Huazhong Agriculture University2,Wuhan 430070)(Anhui Key Laboratory of Plant Resources and Biology3,Huaibei 235000) |
| Abstract: | In order to obtain optimum conditions of ultrasonic-microwave synergistic extraction of pigment from super black glutinous corncob,the Box-Behnken experimental design was used to provide experimental data on the basis of single factor investigations,for establishing a regression model describing the extraction of pigment,and the response surface and contour diagrams with the absorbance of pigment as response were plotted for analyzing the pairwise interactive effects of extraction time,material-to-liquid ra... |
| Keywords: | ultrasonic-microwave synergistic extraction super black glutinous corncob pigment extraction technology response surface methodology |
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