Aniesrani Delfiya D S, Thangavel K, Amirtham D
Department of Food and Agricultural Process Engineering, Tamil Nadu Agricultural University, Coimbatore, 641 003, India.
Protein J. 2016 Apr;35(2):124-35. doi: 10.1007/s10930-016-9652-3.
In this study, acetone was used as a desolvating agent to prepare the curcumin-loaded egg albumin nanoparticles. Response surface methodology was employed to analyze the influence of process parameters namely concentration (5-15%w/v) and pH (5-7) of egg albumin solution on solubility, curcumin loading and entrapment efficiency, nanoparticles yield and particle size. Optimum processing conditions obtained from response surface analysis were found to be the egg albumin solution concentration of 8.85%w/v and pH of 5. At this optimum condition, the solubility of 33.57%, curcumin loading of 4.125%, curcumin entrapment efficiency of 55.23%, yield of 72.85% and particles size of 232.6 nm were obtained and these values were related to the values which are predicted using polynomial model equations. Thus, the model equations generated for each response was validated and it can be used to predict the response values at any concentration and pH.
在本研究中，使用丙酮作为去溶剂化剂来制备负载姜黄素的卵清蛋白纳米颗粒。采用响应面法分析卵清蛋白溶液的浓度（5 - 15%w/v）和pH值（5 - 7）等工艺参数对溶解度、姜黄素负载量和包封率、纳米颗粒产率及粒径的影响。通过响应面分析得到的最佳工艺条件为卵清蛋白溶液浓度8.85%w/v和pH值5。在此最佳条件下，溶解度为33.57%，姜黄素负载量为4.125%，姜黄素包封率为55.23%，产率为72.85%，粒径为232.6 nm，这些值与使用多项式模型方程预测的值相关。因此，为每个响应生成的模型方程得到了验证，可用于预测任何浓度和pH值下的响应值。
