The reconstruction of the nerve tissue engineering scaffold is always of particular interest due to the inability to recover and repair neural tissues after being damaged by diseases or physical injuries. The primary purpose of this study was obtaining a model used to predict the diameter of the fibers of electrospun polyhydroxybutyrate (PHB) scaffolds. Accordingly, the range of operating parameters, namely the applied voltage, the distance between the nozzle to the collector, and solution concentration, was designed for the electrospinning process at three different levels, giving seventeen experiments. These data were modeled utilizing response surface methodology and artificial neural network method using Design Expert and Matlab software.The effect of process parameters on the diameter, as well as their interactions were investigated in detail, and the corresponding models were suggested. Both the RSM and ANN models showed an excellent agreement between the experimental and predicted response values. In the second phase of the study, PHB natural polymer was electrospun into scaffolds with high biocompatibility, resulting in a 224-360 nm diameter range .To further modify the scaffold in order to improve the compatibility of PHB, the fibrous surface of scaffolds was exposed to oxygenated plasma gas radiation under controlled conditions. Next, polyaniline (PANI) nanoparticles were then synthesized and printed on the surface of scaffolds as parallel lines. Then samples were exposed to the electric field. Fourier-transform infrared spectroscopy, water contact angle, optical and electron microscopy, tensile test, and cell viability analysis were performed to study properties of resulting scaffolds. The results indicated the fact that modification of the scaffolds by oxygen plasma and printing PANI nanoparticles in particular patterns had a favorable impact on cell adhesion and direction of cell growth, showing the potential of resulting scaffolds for nerve tissue engineering applications.

由于神经组织在受到疾病或身体伤害后无法恢复和修复，因此神经组织工程支架的重建一直受到特别关注。本研究的主要目的是获得用于预测电纺聚羟基丁酸酯 (PHB) 支架纤维直径的模型。因此，操作参数的范围，即施加的电压、喷嘴到收集器之间的距离和溶液浓度，被设计用于三个不同水平的静电纺丝过程，提供了 17 个实验。这些数据是使用响应面方法和人工神经网络方法使用 Design Expert 和 Matlab 软件建模的。 详细研究了工艺参数对直径的影响，以及它们之间的相互作用，并提出了相应的模型。RSM 和 ANN 模型都显示了实验响应值和预测响应值之间的极好一致性。在研究的第二阶段，将PHB天然聚合物电纺成具有高生物相容性的支架，直径范围为224-360 nm。为了进一步修饰支架以提高PHB的相容性，支架的纤维表面暴露在受控条件下进行氧化等离子气体辐射。接下来，聚苯胺（PANI）纳米颗粒被合成并作为平行线印刷在支架表面。然后将样品暴露在电场中。傅里叶变换红外光谱、水接触角、光学和电子显微镜、拉伸试验、进行细胞活力分析以研究所得支架的特性。结果表明，通过氧等离子体修饰支架并以特定模式打印 PANI 纳米粒子对细胞粘附和细胞生长方向具有有利影响，显示了所得支架在神经组织工程应用中的潜力。