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Powder properties and their influence on dry powder inhaler delivery of an antitubercular drug

机译:粉末性质及其对抗结核药物干粉吸入器输送的影响

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摘要

The purpose of this study was to determine if aerosol delivery of drug loaded microparticles to lungs infected withMycobacterium tuberculosis may be achieved by predicting dispersion of dry powders through knowledge of particle surface properties. Particle sizes of rifampicin-loaded poly(lactide-co-glycolide) microparticles (R-PLGA), rifampicin alone, and lactose and maltodextrin carrier particles (bulk and 75-125-μm sieved fractions) were determined by electron microscopy for the projected area diameter (Dp) and laser diffraction for the volume diameter (Dv). Surface energies (Y) of R-PLGA, rifampicin alone, lactose, and maltodextrin were obtained by inverse phase gas chromatography, surface areas (Sa) by N2 adsorption, and cohesive energy densities by calculation. Particle dispersion was evaluated (Andersen nonviable impactor) for 10% blends of R-PLGA and rifampicin alone with bulk and sieved fractions of the carriers. Dp for R-PLGA and rifampicin alone was 3.02 and 2.83 μm, respectively. Dv was 13±1 and 2±1 μm for R-PLGA and rifampicin alone, respectively, indicating that R-PLGA was more aggregated. This was evident in Y of 35±1 and 19±6 mJ/m2 for R-PLGA and rifampicin alone. Dp for lactose and maltodextrin (sieved and bulk) was approximately 40 mm. Bulk maltodextrin (Dv=119±6 mm) was more aggregated than bulk lactose (Dv=54±2 mm). This was a result of the higher Sa for maltodextrin (0.54 m2/g) than for lactose (0.21 m2/g). The Y of bulk lactose and maltodextrin was 40±4 and 60±6 mJ/m2 and of sieved lactose and maltodextrin was 39±1 and 50±1 mJ/m2. Impaction studies yielded higher fine particle fractions of R-PLGA from sieved lactose, 13%±3%, than from sieved maltodextrin, 7%±1%, at 90 L/min. An expression, based on these data, is proposed as a predictor of drug dispersion from carrier particles.Delivery of dry powder formulations can be achieved by characterizing particle surfaces and predicting impact on dispersion.
机译:这项研究的目的是确定是否可以通过了解颗粒表面特性来预测干粉的分散情况,从而将载有药物的微粒气雾输送到结核分枝杆菌感染的肺部。通过电子显微镜确定投射面积的载有利福平的聚(丙交酯-共-乙交酯)微粒(R-PLGA),仅利福平以及乳糖和麦芽糊精载体颗粒(散装和75-125μm筛分)的粒径直径(Dp)和激光衍射的体积直径(Dv)。通过反相气相色谱法获得R-PLGA,单独的利福平,乳糖和麦芽糊精的表面能(Y),通过N 2吸附获得表面积(Sa),并通过计算获得内聚能密度。评价了R-PLGA和利福平单独与载体的大部分和筛分级分的10%掺混物的颗粒分散度(Andersen无活性撞击器)。仅R-PLGA和利福平的Dp分别为3.02和2.83μm。仅R-PLGA和利福平的Dv分别为13±1和2±1μm,表明R-PLGA更聚集。对于单独的R-PLGA和利福平,Y在35±1和19±6mJ / m 2 中是明显的。乳糖和麦芽糊精的Dp(筛分和堆积)约为40毫米。大量的麦芽糖糊精(Dv = 119±6 mm)比大量的乳糖(Dv = 54±2 mm)更聚集。这是因为麦芽糊精的Sa(0.54 m 2 / g)比乳糖(0.21 m 2 / g)高。乳糖和麦芽糊精的Y值为40±4和60±6 mJ / m 2 ,筛分乳糖和麦芽糊精的Y为39±1和50±1 mJ / m 2 。碰撞研究以90 L / min的速度从筛分的乳糖中得到的R-PLGA细粒级分为13%±3%,比从筛分的麦芽糖糊精中得到的更高的R-PLGA细粒级分为7%±1%。根据这些数据,提出了一种表达形式,可以预测药物从载体颗粒中的分散。通过表征颗粒表面并预测对分散的影响,可以实现干粉制剂的输送。

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