Hariprasad Bhoomija, Eslamian Mohammadjavad, Patel Nihir, Abidian Mohammad Reza
Department of Biomedical Engineering, University of Houston.
J Appl Polym Sci. 2025 Aug 20;142(32). doi: 10.1002/app.57292. Epub 2025 May 8.
Recent advances in neural regeneration have demonstrated the importance of incorporating proteins into polymeric capsules to provide both topographical and biochemical cues to cells. Coaxial electrospinning has emerged as a versatile technique for embedding delicate bioactive agents within core-shell nanofibers, enabling controlled and sustained drug release. In this study, we employed a design-of-experiment approach to systematically investigate how controllable parameters in coaxial electrospinning influence the diameter and size distribution of aligned poly (ethylene oxide-poly(l-lactide-co-glycolide) nanofibers loaded with nerve growth factor (NGF). Employing a Box-Behnken Design, we identified the optimal parameter levels to minimize the response variables and conducted a regression analysis. The results indicated that optimal core-shell nanofibers, with a minimized fiber diameter of 323 nm and a fiber size distribution of 2.37%, were achieved by setting the inner flow rate to 0.33 mL h, the outer flow rate to 2 mL h, the collector speed to 500 rpm, the applied voltage to 17 kV, and the distance between the coaxial needle and the collector to 10 cm. Statistical analysis revealed that the inner flow rate, collector distance, and voltage significantly impacted nanofiber diameter, while collector speed was a key factor for fiber size distribution. Diagnostic plots for model evaluation showed high predictive accuracy for fiber diameter (R=0.8) but limited accuracy for fiber size distribution (R =0.5). Using these optimized parameters, we characterized the NGF release profile from the fibers, observing an initial burst release (81% within 8 hours), followed by sustained, near zero-order release (13% over two weeks). The release kinetics were well-fitted to a Michaelis-Menten model, suggesting that PEO core dissolution followed by PLGA degradation governs the biphasic release behavior. This work offers a more efficient and sustainable approach to fabricating NGF-loaded, highly aligned core-shell nanofibers with a minimal diameter and narrow size distribution.
神经再生领域的最新进展表明,将蛋白质整合到聚合物胶囊中对于为细胞提供拓扑和生化线索至关重要。同轴静电纺丝已成为一种通用技术,可将精细的生物活性剂嵌入核壳纳米纤维中,实现药物的可控和持续释放。在本研究中,我们采用实验设计方法,系统地研究同轴静电纺丝中的可控参数如何影响负载神经生长因子(NGF)的聚环氧乙烷-聚(丙交酯-乙交酯)取向纳米纤维的直径和尺寸分布。采用Box-Behnken设计,我们确定了使响应变量最小化的最佳参数水平,并进行了回归分析。结果表明,通过将内流速设置为0.33 mL/h、外流速设置为2 mL/h、收集器速度设置为500 rpm、施加电压设置为17 kV以及同轴针与收集器之间距离设置为10 cm,可获得最佳的核壳纳米纤维,其最小纤维直径为323 nm,纤维尺寸分布为2.37%。统计分析表明,内流速、收集器距离和电压对纳米纤维直径有显著影响,而收集器速度是纤维尺寸分布的关键因素。模型评估的诊断图显示,纤维直径的预测准确性较高(R=0.8),但纤维尺寸分布的准确性有限(R =0.5)。使用这些优化参数,我们对纤维的NGF释放曲线进行了表征,观察到初始爆发释放(8小时内约81%),随后是持续的近零级释放(两周内约13%)。释放动力学与米氏模型拟合良好,表明PEO核溶解后PLGA降解控制了双相释放行为。这项工作为制造具有最小直径和窄尺寸分布的负载NGF的高度取向核壳纳米纤维提供了一种更高效、可持续的方法。