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Evaluation of a combined emulsion process to encapsulate methylene blue into PLGA nanoparticles

机译：评价将亚甲基蓝封装到PLGA纳米粒子中的组合乳液工艺

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The delivery of photosensitizer compounds using biodegradable nanoparticles could improve dosage, controlled release and its bioavailability. In this study, methylene blue (MB) loaded PLGA nanoparticles (MB-PNP) are prepared by a new approach combining single and double emulsification techniques. Comparisons of MB-PNP obtained with the combined and the individual techniques are presented. Nanoparticles are characterized by dynamic light scattering, laser Doppler electrophoresis and scanning electron microscopy. Particles prepared by the combined technique presented hydrodynamic diameters of 186 nm. The sizes of MB-PNP obtained from the single emulsion technique are similar to the combined technique, while the diameter of particles prepared by double emulsion increased from 201 nm to 287 nm as the TDL increased. MB-PNP displayed an average zeta potential between ?21 mV and ?28 mV for all formulations. MB loading ranges between 0.3–1.4%, while the encapsulation efficiency ranges from 8–14%, both depending on the TDL and the preparation technique. In vitro release studies show a monophasic release profile that was analyzed by considering the mechanisms of initial burst, drug diffusion and a combination of them. Experimental results could be better described using a mathematical model of release that simultaneously combines the mechanisms of initial burst and drug diffusion. The approach presented to encapsulate MB and also to analyze the drug release could be extended to other drugs with partial solubility.
机译：使用可生物降解的纳米颗粒递送光敏剂化合物可以改善剂量，控制释放及其生物利用度。在这项研究中，通过结合单乳化技术和双乳化技术的新方法制备了负载亚甲蓝（MB）的PLGA纳米颗粒（MB-PNP）。给出了组合技术和单个技术获得的MB-PNP的比较。纳米颗粒的特征在于动态光散射，激光多普勒电泳和扫描电子显微镜。通过组合技术制备的颗粒的流体力学直径为186 nm。从单乳液技术获得的MB-PNP的尺寸与组合技术相似，而随着TDL的增加，通过双乳液制备的颗粒的直径从201 nm增加到287 nm。对于所有配方，MB-PNP的平均ζ电位均在？21 mV至？28 mV之间。 MB的负载范围为0.3–1.4％，而封装效率的范围为8–14％，这取决于TDL和制备技术。 体外释放研究表明，通过考虑初始爆发，药物扩散以及它们的组合等因素来分析单相释放曲线。使用同时结合初始爆发和药物扩散机制的释放数学模型可以更好地描述实验结果。提出的用于封装MB以及分析药物释放的方法可以扩展到具有部分溶解度的其他药物。

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