Department of Biomaterials, Faculty of Biomedical Engineering, Science and Research Branch, Islamic Azad University, Tehran, Iran.
Biomaterials Department, Iran Polymer and Petrochemical Institute, Tehran, Iranof.
J Biomater Sci Polym Ed. 2020 Aug;31(12):1515-1537. doi: 10.1080/09205063.2020.1764162. Epub 2020 May 13.
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.
由于疾病或物理损伤导致神经组织受损后无法恢复和修复，因此神经组织工程支架的重建一直是人们特别关注的问题。本研究的主要目的是获得一种用于预测电纺聚羟基丁酸酯（PHB）支架纤维直径的模型。因此，在三个不同水平上设计了电纺工艺的操作参数范围，即施加电压、喷嘴到收集器的距离和溶液浓度，共进行了十七次实验。使用 Design Expert 和 Matlab 软件的响应面法和人工神经网络方法对这些数据进行建模。详细研究了工艺参数对直径的影响及其相互作用，并提出了相应的模型。RSM 和 ANN 模型均显示实验和预测响应值之间具有极好的一致性。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 224-360nm。为了进一步改善 PHB 的相容性，将支架的纤维表面在受控条件下暴露于含氧等离子体气体辐射中。然后，合成并将聚苯胺（PANI）纳米颗粒打印到支架表面上作为平行线。然后将样品暴露于电场中。进行傅里叶变换红外光谱、水接触角、光学和电子显微镜、拉伸试验和细胞活力分析，以研究所得支架的性能。结果表明，支架的氧等离子体改性和以特定图案打印 PANI 纳米颗粒对细胞黏附及细胞生长方向具有有利影响，表明所得支架在神经组织工程应用中的潜力。
