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.

IF 4.6 Q2 MATERIALS SCIENCE, BIOMATERIALS
Areen Alshweiat, Eqbal Abu-Alkebash, Alaa Abuawad, Tamara Athamneh, Shorooq Abukhamees, Muna Oqal
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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.

采用超声波辅助沉淀法制备配方和箱式贝肯设计优化法,制备并表征用于提高吲哚美辛溶解度的基于 Soluplus 的纳米悬浮剂。
目的:纳米悬浮剂越来越被认为是一种有价值的技术,可以提高水溶性差的药物的溶解度和溶解速率,从而改善其生物利用度。在本研究中,我们采用超声波辅助沉淀法来制造吲哚美辛(IND)的纳米悬浮液,并使用 Soluplus® (Sol) 作为稳定剂。我们的目标以优化配方变量和开发 IND 最佳配方的预测模型为中心:本研究强调了方框-贝肯设计(BBD)是优化 IND 纳米悬浮剂特性的有力工具,可显著提高其溶解率:方法:利用方框-贝肯设计(BBD)研究了自变量对平均粒径(MPS)、多分散指数(PDI)和Zeta电位(ZP)的影响。将优化后的纳米悬浮液与 3% 曲哈糖一起冷冻干燥,制成干纳米悬浮液(DNS)。通过扫描电镜、DSC、XRPD、溶解度和溶解度对 DNS 进行了表征:结果:IND:Sol 比率和超声功率对纳米悬浮液的 MPS 和 ZP 有显著影响。优化配方的 MPS、PDI 和 ZP 分别为 144.77 ± 6.68 nm、0.26 ± 0.08 和 -24.6 ± 1.90 mV。DNS 呈现球形颗粒形态。DSC 和 XRPD 证实了 IND 的无定形状态,从而提高了 IND 的溶解度和溶解性。与未加工的 IND 相比,DNS 在最初 15 分钟内的药物释放量增加了 3.7 倍:这项研究证明了 BBD 在准确预测配制最佳纳米悬浮剂所必需的独立变量值方面的关键作用。这些制剂具有特殊的性能,可以有效地整合到各种剂型中,以适应不同的给药途径。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
ACS Applied Bio Materials
ACS Applied Bio Materials Chemistry-Chemistry (all)
CiteScore
9.40
自引率
2.10%
发文量
464
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