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首页> 外文期刊>Advanced Pharmaceutical Bulletin >Application of Response Surface Method for Preparation, Optimization, and Characterization of Nicotinamide Loaded Solid Lipid Nanoparticles
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Application of Response Surface Method for Preparation, Optimization, and Characterization of Nicotinamide Loaded Solid Lipid Nanoparticles

机译:响应面法在烟酰胺固体脂质纳米粒的制备,优化和表征中的应用

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Purpose: Solid lipid nanoparticles (SLNs) have been proven to possess pharmaceutical advantages. They have the ability to deliver hydrophilic drugs through lipid membranes of the body. However, the loading of such drugs into SLNs is challenging. Hydrophilic nicotinamide, a histone deacetylase inhibitor, is used to establish SLNs with enhanced encapsulation efficiency by using statistical design. Methods: The possible effective parameters of these particles’ characteristics were determined using pre-formulation studies and preliminary tests. Afterwards, the Response Surface Method (RSM) was utilized to optimize the preparation condition of SLNs. The effect of the amount of lipid, drug, surfactant, and the mixing apparatus were studied on particle size, zeta potential, and encapsulation efficiency of the obtained particles. The acquired particles were characterized in respect of their morphology, in vitro release profile, and cytotoxicity. Results: According to this study, all the dependant variables could be fitted into quadratic models. Particles of 107 nm with zeta potential of about -40.9 and encapsulation efficiency of about 36% were obtained under optimized preparation conditions; i.e. with stearic acid to phospholipon? 90G ratio of 7.5 and nicotinamide to sodium taurocholate ratio of 14.74 using probe sonication. The validation test confirmed the model’s suitability. The release profile demonstrated the controlled release profile following the initial burst release. Neither the nicotinamide nor the SLNs showed toxicity under the evaluated concentrations. Conclusion: The acquired results suggested the suitability of the model for designing the delivery system with a highly encapsulated water soluble drug for controlling its delivery.
机译:目的:固体脂质纳米颗粒(SLN)已被证明具有药物优势。它们具有通过人体脂质膜递送亲水性药物的能力。但是,将此类药物装载到SLN中具有挑战性。通过统计设计,使用亲水性烟酰胺(一种组蛋白脱乙酰基酶抑制剂)来建立具有增强包封效率的SLN。方法:使用配制前研究和初步测试确定这些颗粒特征的可能有效参数。之后,利用响应面法(RSM)优化了SLNs的制备条件。研究了脂质,药物,表面活性剂和混合设备的数量对获得的颗粒的粒度,ζ电势和包封效率的影响。表征所获得的颗粒的形态,体外释放曲线和细胞毒性。结果:根据这项研究,所有因变量都可以拟合为二次模型。在优化的制备条件下,获得了107 nm的ζ电位约为-40.9且包封效率约为36%的颗粒。即用硬脂酸合成磷脂?使用探针超声处理,90G的比例为7.5,烟酰胺与牛磺胆酸钠的比例为14.74。验证测试确认了该模型的适用性。释放配置文件显示了初始突发释放后的受控释放配置文件。在所评估的浓度下,烟酰胺和SLN均未显示毒性。结论:所得结果表明该模型适用于设计具有高度封装的水溶性药物以控制其递送的递送系统。

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