Optimization of microencapsulation of seed oil by response surface methodology
Optimization of microencapsulation of seed oil by response surface methodology
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DOI：
10.1016/j.foodchem.2007.07.067
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发表时间：
2008-03-01
期刊：
影响因子：
8.8
通讯作者：
Kim, Hak-Sung
中科院分区：
文献类型：
--
作者：
Ahn, Jang-Hyuk;Kim, Young-Pil;Kim, Hak-Sung
采用响应面法对向日葵籽油微胶囊化工艺条件进行优化。研究了葵花籽油微胶囊化过程中葵花籽油浓度（X1）、乳分离蛋白（MPI）与包被壁的比例（X-2）、大豆卵磷脂浓度（X-3）和包被压力（X-4）对葵花籽油微胶囊化效率的影响。结果拟合出的多项式回归模型方程为：X（%）= 4.137772 + 3.524183X（1）+ 3.475205X（2）+ 2.914167X（3）- 0.074532X（2）（1）- 0.067482X（2）（2）。压力的影响可以忽略不计。结果表明，最佳的微胶囊化工艺条件为：23.6% SO、19.0% MPI、2.5%大豆卵磷脂、54.8%糊精。在优化条件下的MESO产生最高的结晶度，接近96.6%的结晶度。与显示低过氧化值（70.2%）的MESO相比，在优化条件下来自MESO的总油的过氧化值（过氧化值）即使在60 +/-1 ° C的加速储存条件下30天后也显著降低，这表明种子油的RSM介导的微胶囊化过程的有希望的特征。(C)2007爱思唯尔有限公司版权所有。
The response surface methodology (RSM) was employed to optimize the microencapsulation condition of sunflower oil (SO) as a typical seed oil. The microencapsulation efficiency (MEE) of microencapsulated sunflower oil (MESO) was investigated with respect to four variables including SO concentration (X,), proportion of milk protein isolates (MPI) to coating wall (X-2), soy lecithin concentration (X-3), and homogenizing pressure (X-4). As a result, a polynomial regression model equation was fitted as follows: MEE (%) = 4.137772 + 3.524183X(1) + 3.475205X(2) + 2.914167X(3) - 0.074532X(2)(1) - 0.067482X(2)(2). Effect of homogenizing pressure was negligible. The optimal conditions for microencapsulation of SO were 23.6% SO, 19.0% MPI, 2.5% soy lecithin, and 54.8% dextrin, respectively. MESO under the optimized conditions gave rise to the highest MEE, approaching 96.6% of MEE. Compared to MESO showing a low MEE (70.2%), the peroxide value (POV) of the total oil from the MESO under the optimized conditions was significantly lowed even under the accelerated storage conditions at 60 +/- 1 degrees C after 30 days, which indicates a promising feature of RSM-mediated microencapsulation process of seed oil. (C) 2007 Elsevier Ltd. All rights reserved.