Electrospun nanofibers of poly (lactic acid)/poly (ε-caprolactone) blend for the controlled release of levetiracetam
Electrospun nanofibers of poly (lactic acid)/poly (ε-caprolactone) blend for the controlled release of levetiracetam
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DOI：
10.1002/pen.26167
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发表时间：
2022-10-10
影响因子：
3.2
通讯作者：
Khonakdar, Hossein Ali
中科院分区：
文献类型：
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作者：
Ghafouri, Seyede Elaheh;Mousavi, Seyed Rasoul;Khonakdar, Hossein Ali
本研究以聚乳酸（PLA）、聚己内酯（PCL）及其共混物电纺纳米纤维（ESNF）作为释放左乙拉西坦（LEV）的新型系统。扫描电子显微镜显示所有样品的形貌光滑且无珠粒。此外，随着LEV含量的增加，PLA、PCL和PCL/PLA ESNF的平均直径分别增加了近69%、41%和14%。利用红外光谱法对聚合物和药物的结构、聚合物与药物的相互作用以及官能团的观察进行了确认。通过添加LEV，孔隙百分比也减小。X射线衍射的结果表明，结晶度从18.2%，40.1%，和21.5%的PLA，PCL，和PLA/PCL ESNF，分别下降到15%，31.2%，和13.6%的样品含有18重量%的LEV。此外，含10和18wt%LEV的PLA ESNF表现出稳定的药物释放上升趋势，而含10和18wt%LEV的PCL和PLA/PCL ESNF最初显示药物释放突然增加，然后变得稳定。此外，药物释放动力学进行了评估，使用不同的模型，如零级，一级，Higuchi，和Korsmeyer-Peppas模型和最佳模型预测药物释放行为进行了选择。
This study deals with poly(lactic acid) (PLA), poly(epsilon-caprolactone) (PCL), and their blend electrospun nanofibers (ESNF) as novel systems for the release of levetiracetam (LEV). Scanning electron microscopy demonstrated that the morphology of all samples is smooth and beads-free. In addition, with increasing LEV content, the average diameters of PLA, PCL, and PCL/PLA ESNF enhanced by almost 69%, 41%, and 14%, respectively. FTIR spectroscopy was utilized to confirm the structure of polymer and drug, polymer-drug interaction, and the observation of functional groups. The pore percentage was also diminished by adding LEV. The results of x-ray diffraction revealed that the crystallinity decreased from 18.2%, 40.1%, and 21.5% for PLA, PCL, and PLA/PCL ESNF, respectively, to 15%, 31.2%, and 13.6% for the samples containing 18 wt% LEV. In addition, PLA ESNF containing 10 and 18 wt% LEV demonstrated a steady uptrend for drug release, while PCL and PLA/PCL ESNF containing 10 and 18 wt% LEV initially indicated an abrupt increase in drug release and then became steady. Moreover, drug release kinetics were evaluated using different models such as zero order, first order, Higuchi, and Korsmeyer-Peppas models and the best model for predicting the drug release behavior was selected.