Jafari Azizeh, Anarjan Navideh, Jafarizadeh-Malmiri Hoda
1Faculty of Chemical Engineering, Sahand University of Technology, Tabriz, East Azarbaijan 51335-1996 Iran.
2Faculty of Chemical Engineering, Tabriz Branch, Islamic Azad University, Tabriz, East Azarbaijan 515794-4533 Iran.
Food Sci Biotechnol. 2019 Oct 14;29(3):371-378. doi: 10.1007/s10068-019-00675-9. eCollection 2020 Mar.
A bottom-up approach based on solvent-displacement technique was used to prepare α-tocopherol nanoemulsions. Effects of two main evaporation parameters namely, rotation speed (1 × 10-9 × 10 rpm) and rotation time (5-15 min) of utilized vacuum rotary evaporator, on the mean particle size, polydispersity index (PDI) and α-tocopherol degradation of the formed nanodroplets were evaluated using response surface methodology. Obtained results suggested three polynomial regression models for predicting the studied response variables' affected by selected evaporation parameters. Relatively high coefficients of determination for suggested models (> 0.7839) confirmed the suitability of the generated models. Multiple-optimization procedure revealed that the optimum amounts of evaporation speed and time were 30 rpm and 10 min, respectively, which in that, prepared spherical α-tocopherol nanoemulsions had mean particle size, PDI and concentration values of 48.9 nm, 0.232 and 358.7 mg/L, respectively.
采用基于溶剂置换技术的自下而上方法制备α-生育酚纳米乳液。利用响应面法评估了所用真空旋转蒸发仪的两个主要蒸发参数,即转速(1×10 - 9×10转/分钟)和旋转时间(5 - 15分钟)对所形成纳米液滴的平均粒径、多分散指数(PDI)和α-生育酚降解的影响。所得结果提出了三个多项式回归模型,用于预测所选蒸发参数对所研究响应变量的影响。所建议模型的相对较高的决定系数(> 0.7839)证实了所生成模型的适用性。多重优化程序表明,最佳蒸发速度和时间分别为30转/分钟和10分钟,在此条件下制备的球形α-生育酚纳米乳液的平均粒径、PDI和浓度值分别为48.9纳米、0.232和358.7毫克/升。