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首页> 外文期刊>Journal of Applied Polymer Science >Controlled release from polyurethane films: Drug release mechanisms
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Controlled release from polyurethane films: Drug release mechanisms

机译：来自聚氨酯薄膜的控制释放：药物释放机制

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In this study, polyurethane-films loaded diclofenac were used to analyze the drug release kinetics and mechanisms. For this purpose, the experimental procedures were developed under static and dynamic conditions with different initial drug loads of 10, 20, and 30%. In the dynamic condition, to better simulate the biological flow, drug release measurements were investigated at flow rates of 7.5 and 23.5 ml/s. These values indicate the flow rate of the internal carotid artery (ICA) for a normal state of a body and for a person during the exercise, respectively. The experimental data were analyzed and adjusted by Higuchi, Korsmeyer-Peppas, First-order, zero-order, and Peppas-Sahlin models in order to understand the mechanisms contributed. Finally, drug release mechanisms were specified by investigating the model correlation coefficients. Experimental results showed that increasing the flow rate and initial drug loads enhance drug liberation. In addition, the rate of release is more influenced by the drug dosage in the static state. The analysis revealed that diffusion, burst, and osmotic pressure are the principal mechanisms contributed. Moreover, Fickian type was the dominant mechanism at all duration of release. However, it was discovered using Peppas-Sahlin model that the contribution of the diffusion mechanism decreases with increasing flow rate and initial dosage. Furthermore, the tests at different drug dosages showed that the number of stages in medication release profile is independent of the flow rate and the medicine percentage. One can conclude that the drug release kinetic in static state is more influenced by drug dosage compared with dynamic state.
机译：本研究采用双氯芬酸聚氨酯薄膜进行药物释放动力学和机制分析。为此，在静态和动态条件下开发了实验程序，初始药物负荷分别为10%、20%和30%。在动态条件下，为了更好地模拟生物流，在7.5和23.5 ml/s的流速下对药物释放测量进行了研究。这些值分别表示身体正常状态下和运动期间人的颈内动脉（ICA）流速。通过Higuchi、Korsmeyer-Peppas、一阶、零阶和Peppas-Sahlin模型对实验数据进行分析和调整，以了解相关机制。最后，通过研究模型相关系数确定药物释放机制。实验结果表明，增加流速和初始载药量可以促进药物释放。此外，在静态状态下，药物的释放速率更受药物剂量的影响。分析表明，扩散、破裂和渗透压是主要的作用机制。此外，在所有释放期间，菲茨基型是主要机制。然而，使用Peppas-Sahlin模型发现，扩散机制的贡献随着流速和初始剂量的增加而减少。此外，不同药物剂量下的试验表明，药物释放曲线的阶段数与流速和药物百分比无关。可以得出结论，与动态相比，静态下的药物释放动力学更受药物剂量的影响。

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