Optimization of Preparation Technology and Stability Analysis of Coconut Oil Nanoemulsion
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摘要: 为制备较为稳定的椰子油乳液,将酪蛋白酸钠(Sodium caseinate,SC)和黄原胶(Xanthan gum,XG)复合作为乳化剂,椰子油为油相,采用超声方法制备椰子油乳液。以平均粒径、Zeta-电位、离心稳定性及浊度等为考察指标,通过单因素实验筛选出超声功率、超声时间、油相质量分数和水相pH的合理研究范围。以平均粒径为响应值,用Box-Behnken响应面法对超声功率、超声时间和水相pH做进一步优化实验并对制备的乳液进行稳定性实验。结果表明,最佳制备工艺参数为:超声功率为480 W,超声时间为18 min,水相pH为7,所得椰子油纳米乳液的平均粒径为304.5±13.2 nm。所制备的椰子油纳米乳液在热处理温度40~90 ℃,pH6~8,离子浓度0~0.5 mol/L条件下具有良好的稳定性,且经3次冻融循环后乳液保持稳定,为构建用于食品加工的高稳定性椰子油乳液提供了理论支持。Abstract: In order to prepare a more stable coconut oil emulsion, sodium caseinate (SC) and xanthan gum (XG) were combined as emulsifiers, and coconut oil was used as the oil phase, and the coconut oil emulsion was prepared by ultrasonic method. The average droplet sizes, Zeta-potentials, centrifugal stability and turbidity of emulsions were characterized to choose reasonable parameters concerning the ultrasonic treatment time, ultrasonic treatment power, mass fraction of oil phase, and pH values of aqueous phase, by the single factor test. The Box-Behnken response surface methodology (RSM) was used to optimize the parameter (including ultrasonic treatment power, ultrasonic treatment time, and pH values of aqueous phase) to prepare the stable emulsions. The optimal conditions were obtained as follows: Ultrasonic power 480 W, ultrasonic time 18 min, and pH7 of aqueous phase. Under this condition, the smallest droplets size of emulsions was obtained 304.5±13.2 nm. All coconut oil-based emulsions showed an extraordinary stability with heat treatment temperature of 40~90 ℃, pH6~8 and ion concentration of 0~0.5 mol/L, and the emulsion remained stable after three freeze-thaw cycles. The findings would provide a facile strategy to prepare stable coconut oil-based emulsions in the food processing.
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Key words:
- sodium caseinate /
- xanthan gum /
- coconut oil /
- nano emulsion /
- stability
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表 1 响应面试验因素水平设计
Table 1. Design of factors and levels of the response surface test
水平 因素 A超声功率(W) B超声时间(min) C水相pH −1 400 10 6 0 480 15 7 1 560 20 8 表 2 响应面试验设计及结果
Table 2. Design and results of response surface test
实验号 A B C 平均粒径(nm) 1 0 0 0 304.3±14.5 2 1 0 −1 614.1±29.2 3 0 0 0 308.7±13.5 4 0 −1 −1 405.4±12.5 5 0 −1 1 354.2±12.8 6 −1 0 −1 474.4±32.8 7 0 1 −1 370.9±11.3 8 −1 1 0 392.3±4.5 9 1 −1 0 589.3±42.3 10 −1 −1 0 406.7±3.2 11 0 1 1 323.2±11.2 12 1 1 0 495.8±20.3 13 0 0 0 297.7±15.0 14 1 0 1 579.4±11.0 15 −1 0 1 368.0±4.2 16 0 0 0 317.1±30.4 17 0 0 0 301.3±15.4 表 3 回归模型的方差分析
Table 3. Variance analysis of regression model
方差来源 平方和 自由度 方差 F值 P值 显著性 模型 181300 9 20147 117.56 <0.0001 ** A 50752.98 1 50753.98 296.14 <0.0001 ** B 3758.45 1 3758.45 21.93 0.0023 ** C 7200 1 7200 42.01 0.0003 ** AB 1564.2 1 1564.2 9.13 0.0194 * AC 1285.22 1 1285.22 7.5 0.0290 * BC 3.06 1 3.06 0.018 0.8974 A2 101700 1 101700 593.13 <0.0001 ** B2 406.65 1 406.65 2.37 0.1674 C2 9611.32 1 9611.32 56.08 0.0001 ** 残余项 1199.66 7 171.38 失拟项 975.45 3 325.15 5.8 0.0613 纯误差 224.21 4 56.05 总和 182500 16 注:*代表P<0.05,差异显著;**代表P<0.01,差异极显著。 -
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