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首页> 外文期刊>Journal of the American Oil Chemists' Society >Response Surface Modeling of Processing Parameters for the Preparation of Phytosterol Nanodispersions Using an Emulsification-Evaporation Technique
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Response Surface Modeling of Processing Parameters for the Preparation of Phytosterol Nanodispersions Using an Emulsification-Evaporation Technique

机译:乳化-蒸发技术制备植物甾醇纳米分散体的工艺参数响应面建模

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摘要

The purpose of this study was to optimize the production parameters for water-soluble phytosterol nanodispersions. Response surface methodology (RSM) was employed to model and optimize three of the processing parameters: mixing time (t) by conventional homogenizer (1-20 min), mixing speed (v) by conventional homogenizer (1,000-9,000 rpm) and homogenization pressure (P) by high-pressure homogenizer (0.1-80 MPa). All responses [i.e., mean particle size (PS), polydispersity index (PDI) and phytosterols concentration (Phyto, mg/l)] fitted well to a reduced quadratic model by multiple regressions after manual elimination. For PS, PDI and Phyto, the coefficients of determination (R (2)) were 0.9902, 0.9065 and 0.8878, respectively. The optimized processing parameters were 15.25 min mixing time, 7,000 rpm mixing speed and homogenization pressure 42.4 MPa. In the produced nanodispersions, the corresponding responses for the optimized preparation conditions were a PS of 52 nm, PDI of 0.3390 and a Phyto of 336 mg/l.
机译:这项研究的目的是优化水溶性植物甾醇纳米分散体的生产参数。使用响应面方法(RSM)对三个处理参数进行建模和优化:常规均质机(1-20分钟)的混合时间(t),常规均质机(1,000-9,000 rpm)的混合速度(v)和均质压力(P)通过高压均质机(0.1-80 MPa)。通过手动消除后的多次回归,所有响应[即,平均粒径(PS),多分散性指数(PDI)和植物甾醇浓度(Phyto,mg / l)]都非常适合简化的二次模型。对于PS,PDI和Phyto,确定系数(R(2))分别为0.9902、0.9065和0.8878。优化的工艺参数为混合时间15.25分钟,混合速度7,000 rpm和均质压力42.4 MPa。在产生的纳米分散液中,优化制备条件的相应响应为52 nm的PS,0.3390的PDI和336 mg / l的植物。

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