摘要
金银花籽油特性研究可提高金银花资源的开发利用,采用响应面分析法优化金银花籽油的超声提取工艺并分析其脂肪酸组成。结合单因素和Box-benhnken中心组合方法设计的试验优化液料比、提取时间和提取功率等提取条件,使用气-质联仪分析提取油的脂肪酸组成。结果显示,模拟得到的二次多项式回归方程拟合性好,金银花籽油提取的最佳工艺是:以丙酮为提取溶剂,液料比30 m L/g,提取时间41 min,超声功率165 W,此条件下,金银花籽油提取率可达10.76%,提取油品质较好,不饱和脂肪酸总量多达85.81%,以亚油酸、油酸为主。
Because of research of Lonicera japonica Thunb. seed oil characteristic can increasing the development and utilization of resources honeysuckle, response surface methodology was applied to optimize techniques of ultrasonic-assisted extraction and analyze its fatty acid composition of Lonicera japonica Thunb. seed oil. Combining single factor experiments and box-benhnken central composite experimental design method to optimize the ratio of solvent to solid, extraction time and ultrasonic power, the fatty acids of extracted oil was analyzed by GC-MS. The results showed that the simulate quadratic polynomial regression equation fits well and the optimum extraction condition were： acetone as the solvent, liquid-solid ratio of 29.75 m L/g, extraction time of 41.5 min, ultrasonic power of 165 W, under this conditions, the theoretical extraction rate of Flos lonicerae seed oil was 10.76%, the unsaturated fatty acids in extracted oil up to 85.81% of the total, with linoleic acid, oleic acid based.
出处
《食品科技》
CAS
北大核心
2015年第11期155-160,共6页
Food Science and Technology
基金
江西省教育厅项目(GJJ14296)
江西省科技厅项目(20151BBF60039)
国家自然科学基金地区基金项目(31560452)
关键词
金银花籽油
超声提取
响应曲面分析法
脂肪酸组成
Flos lonicerae seed oil
ultrasonic-assisted extraction
response surface methodology（RSM）
fatty acid composition analysis
