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采用超声辅助沉淀法制备用于改善吲哚美辛溶出度的基于Solupuls的纳米混悬剂并进行表征,同时运用Box-Behnken设计进行优化。

Preparation and characterization of soluplus-based nanosuspension for dissolution enhancement of indomethacin using ultrasonic assisted precipitation method for formulation and Box-Behnken design for optimization.

作者信息

Alshweiat Areen, Abu-Alkebash Eqbal, Abuawad Alaa, Athamneh Tamara, Abukhamees Shorooq, Oqal Muna

机构信息

Department of Pharmaceutics and Pharmaceutical Technology, Faculty of Pharmaceutical Sciences, The Hashemite University, Zarqa 13133 , Jordan.

Department of Pharmaceutical Sciences and Pharmaceutics, Faculty of Pharmacy, Applied science private university, Amman 11931, Jordan.

出版信息

Drug Dev Ind Pharm. 2024 Oct;50(10):878-891. doi: 10.1080/03639045.2024.2424307. Epub 2024 Nov 6.

Abstract

OBJECTIVES

Nanosuspensions are increasingly recognized as a valuable technology for enhancing poorly water-soluble drugs' solubility and dissolution rate, thereby improving their bioavailability. In this study, we employed ultrasonic-assisted precipitation to fabricate nanosuspensions of indomethacin (IND), utilizing Soluplus (Sol) as a stabilizing agent. Our objectives were driven by hypotheses centered on optimizing formulation variables and developing predictive models for optimal IND formulations.

SIGNIFICANCE

This research highlights the Box-Behnken design (BBD) as a powerful tool that optimizes the properties of IND nanosuspensions, thus significantly enhancing their dissolution rate.

METHODS

The impacts of the independent variables on the mean particle size (MPS), polydispersity index (PDI), and zeta potential (ZP) were investigated using BBD. The optimized nanosuspension was freeze-dried with 3% trehalose to produce a dry nanosuspension (DNS). The DNS was characterized by SEM, DSC, XRPD, solubility, and dissolution.

RESULTS

The IND: Sol ratio and sonication power significantly affected the MPS and ZP of the nanosuspensions. The optimized formulation showed MPS, PDI, and ZP of 144.77 ± 6.68 nm, 0.26 ± 0.08, and -24.6 ± 1.90 mV, respectively. The DNS exhibited spherical particle morphology. The DSC and XRPD confirmed the amorphous state of IND with enhanced solubility and dissolution of IND. DNS showed a 3.7-fold increase in drug release in the first 15 min compared with raw IND.

CONCLUSIONS

This study demonstrated the critical role of BBD in accurately predicting the values of independent variables essential for formulating optimal nanosuspensions. These formulations possess specific properties that can be effectively integrated into various dosage forms tailored for different routes of administration.

摘要

目的

纳米混悬液作为一种可提高难溶性药物溶解度和溶出速率、进而改善其生物利用度的重要技术,正日益受到认可。在本研究中,我们采用超声辅助沉淀法,以固体分散体载体材料(Soluplus,Sol)作为稳定剂来制备吲哚美辛(IND)纳米混悬液。我们的目标是基于优化配方变量和开发IND最佳配方的预测模型的假设。

意义

本研究突出了Box-Behnken设计(BBD)作为优化IND纳米混悬液性质、从而显著提高其溶出速率的有力工具。

方法

使用BBD研究自变量对平均粒径(MPS)、多分散指数(PDI)和zeta电位(ZP)的影响。将优化后的纳米混悬液与3%海藻糖一起冷冻干燥,制成干燥纳米混悬液(DNS)。通过扫描电子显微镜(SEM)、差示扫描量热法(DSC)、X射线粉末衍射(XRPD)、溶解度和溶出度对DNS进行表征。

结果

IND与Sol的比例以及超声功率对纳米混悬液的MPS和ZP有显著影响。优化后的配方显示MPS、PDI和ZP分别为144.77±6.68nm、0.26±0.08和-24.6±1.90mV。DNS呈现球形颗粒形态。DSC和XRPD证实IND为非晶态,其溶解度和溶出度均有所提高。与原料药IND相比,DNS在前15分钟内的药物释放增加了3.7倍。

结论

本研究证明了BBD在准确预测制备最佳纳米混悬液所需自变量值方面的关键作用。这些配方具有特定性质,可有效地整合到针对不同给药途径定制的各种剂型中。

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