Preparation of controlled release nanodrug ibuprofen supported on mesoporous silica using supercritical carbon dioxide

Preparation of controlled release nanodrug ibuprofen supported on mesoporous silica using supercritical carbon dioxide
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超临界二氧化碳负载介孔二氧化硅制备控释纳米药物布洛芬

DOI:
10.1557/jmr.2012.312
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发表时间:
2012-11-01
影响因子:
2.7
通讯作者:
Yin, Jian-Zhong
Yin, Jian-Zhong
中科院分区:
材料科学4区
文献类型:
--
作者:
Ni, Min;Xu, Qin-Qin;Yin, Jian-Zhong

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以超临界二氧化碳(scCO 2)为溶剂,在17 MPa、310.15 K条件下,将布洛芬(IBU)沉积到有序介孔分子筛SBA-15上,制备了布洛芬控释纳米药物。IBU/SBA-15的最大载药量为41.96%。利用X射线衍射(XRD)、扫描电子显微镜(SEM)和氮气(N_2)吸附-脱附等温线对所获得的材料进行表征;结果表明,大部分吸附的药物在纳米通道内。体外研究表明,完全释放(100%)的时间显着减少载药量降低。有趣的是,具有相似药物负载的样品显示不同的释放速率,这可能是由于吸附在孔内的药物量的差异。此外,修改后的Noyes-Whitney方程被用来模拟所有样品的释放动力学,模型表示和实验数据之间获得了良好的协议。此外,在298.15-320.15 K和7-17 MPa的压力范围内,用高压观察池测定了IBU在scCO_2中的溶解度。实验的溶解度数据,以及使用Chrastil的方程,以及Menel-Santiago和Teja的方程相关。
Deposition of ibuprofen (IBU) into ordered mesoporous silica SBA-15 was carried out to prepare controlled release nanodrug using supercritical carbon dioxide (scCO_2) as solvent at 17 MPa and 310.15 K. The maximum drug loading of IBU/SBA-15 was as high as 41.96%. The characterization of the obtained materials was performed using x-ray diffractometry (XRD), scanning electron microscopy (SEM), and nitrogen (N_2) adsorption-desorption isotherms; the results indicate that most adsorbed drugs were inside the nanoscale channels. The in vitro study shows that the time of complete (100%) release significantly decreases as drug-loading decreases. The interesting aspect is that the samples with similar drug loading display different release rates, which may be due to differences in the drug quantity adsorbed inside the pores. In addition, the modified Noyes-Whitney equation was used to model the release kinetics for all the samples and a good agreement was obtained between the model representation and experimental data. In addition, the solubility of IBU in scCO_2was tested through a high-pressure view cell at the temperature range of 298.15–320.15 K and pressure range of 7–17 MPa. The experimental solubility data were well correlated using Chrastil’s equation as well as Mendez-Santiago and Teja’s equation.