响应面优化超声波辅助提取花生烟酸工艺  

Optimization of Ultrasonic Extraction of Nicotinic Acid from Peanut by Response Surface Methodology

作　　者：赵姝[1] 刘振春[1] 邹基豪 刘想[1] 崔晶蕾 ZHAO Shu;LIU Zhenchun;ZOU Jihao;LIU Xiang;CUI Jinglei(College of Food Science and Engineering,Jilin Agricultural University,Changchun 130118,China)

机构地区：[1]吉林农业大学食品科学与工程学院,长春130118

出　　处：《吉林农业大学学报》2018年第2期229-234,共6页Journal of Jilin Agricultural University

基　　金：吉林省"双十工程"重大科技攻关项目(201502010NY)

摘　　要：以不同浓度的乙醇溶液作为提取剂,采用超声辅助技术从花生中提取烟酸。采用Box-Behnken响应面设计法建立影响因素的二次回归模型。通过对响应面数据的分析得到超声波辅助提取花生烟酸的最佳提取条件:乙醇浓度65%、液料比25∶1(mL∶g)、超声功率405 W、超声时间17 min,此条件下花生烟酸的得率可达(14.50±0.36)mg/100g(n=3)。该回归模型模拟度良好,可作为花生烟酸提取量测定的理论依据。Using different concentrations of ethanol as the extraction solvent, extraction of nicotinic acid from peanut was extracted by ultrasonic assisted technique. Two regression models of influencing factors were established by using Box-Behnken response surface design method. By analysis of re- sponse surface data, the optimum conditions for ultrasonic assisted extraction of peanut nicotinic acid were obtained： ethanol concentration 65%, liquid-solidratio 25 ： 1 （mL ： g）, ultrasonic power 405 W, ultrasonic time 17 min, yield of peanut nicotinic acid under this condition （ 14. 50 _＋ 0. 36） mg/100g （n = 3）. The regression model has good simulation degree, which can be used as theoreti- cal basis for the determination of extraction amount of nicotinic acid.

关 键 词：花生 烟酸 超声波 响应面法 

分 类 号：TS201.1[轻工技术与工程—食品科学] S565.2[轻工技术与工程—食品科学与工程]