In the present study, parameters affecting the particle size and drug loading of curcumin-loaded hydroxyapatite–polyvinyl alcohol (HAp-PVA) nanocomposites were investigated and optimized. The nanocomposites were synthesized by using chemical precipitation technique, and curcumin was subsequently incorporated into the prepared nanocomposites through an impregnation methodology. Dynamic light scattering and scanning electron microscopy were applied for the evaluation of HAp-PVA nanocomposites. Besides, response surface methodology (carried out using Minitab 16) assessed the correlation between design parameters and experimental data. The independent variables selected in Box–Behnken design were time of milling (X₁), polyvinyl alcohol (PVA), concentration (X₂) and the concentration of drug (X₃), while particle size and drug loading were considered as the responses. The size of nanoparticles ranged from 71 to 123 nm, and drug loading varied between 8.9 and 61.1%. Contour plots and surface plots were benefitted in order to realize the combined effects of different variables. Optimized formulation using response optimizer design demonstrated the particle size of 95 nm and drug loading of 61.24%. From the acquired results, it was concluded that the chemical precipitation method accompanied by the Box–Behnken experimental design approach could be successfully applied to optimize the nanoformulation of curcumin-encapsulated HAp-PVA nanocomposites.

中文翻译：

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通过响应面建模方法优化和开发羟基磷灰石-聚乙烯醇纳米复合材料载药量

在本研究中，研究和优化了影响姜黄素负载的羟基磷灰石-聚乙烯醇（HAp-PVA）纳米复合材料的粒径和载药量的参数。使用化学沉淀技术合成纳米复合材料，然后通过浸渍方法将姜黄素掺入制备的纳米复合材料中。动态光散射和扫描电子显微镜用于评价HAp-PVA纳米复合材料。此外，响应面方法（使用Minitab 16进行）评估了设计参数和实验数据之间的相关性。在Box–Behnken设计中选择的独立变量是研磨时间（X ₁），聚乙烯醇（PVA），浓度（X ₂）和药物浓度（X ₃），而颗粒大小和载药量则视为响应。纳米粒子的尺寸范围为71至123 nm，药物载量在8.9％至61.1％之间变化。等高线图和曲面图受益于实现不同变量的组合效果。使用响应优化器设计的优化配方显示了95 nm的粒径和61.24％的载药量。从获得的结果可以得出结论，化学沉淀法和Box–Behnken实验设计方法相结合可以成功地用于优化姜黄素包裹的HAp-PVA纳米复合材料的纳米配方。