Industrial Pharmacy Laboratory, Medicinal and Pharmaceutical Chemistry Department, Pharmaceutical and Drug Industries Research Institute, National Research Centre (Affiliation ID: 10014618), 33 EL Bohouth St. (former EL Tahrir St.), Dokki, P.O.12622, Giza, Egypt.
Department of Pharmaceutics, Faculty of Pharmacy, Cairo University, Cairo, 11562, Egypt.
AAPS PharmSciTech. 2022 Sep 2;23(7):248. doi: 10.1208/s12249-022-02394-7.
This study aimed to formulate and optimize solid-dispersion of meloxicam (MX) employing response-surface-methodology (RSM). RSM allowed identification of the main effects and interactions between studied factors on MX dissolution and acceleration of the optimization process. 3 full factorial design with 27 different formulations was proposed. Effects of drug loading percentage (A), carriers' ratio (B), method of preparation (C), and their interactions on percent MX dissolved after 10 and 30 min (Q & Q) from fresh and stored samples were studied in distilled water. The considered levels were 2.5%, 5.0%, and 7.5% (factor A), three ratios of Soluplus®/Poloxamer-407 (factor B). Physical mixture (PM), fusion method (FM), and hot-melt-extrusion (HME) were considered factor (C). Stability studies were carried out for 3 months under stress conditions. The proposed optimization design was validated by 3-extra checkpoints formulations. The optimized formulation was selected via numerical optimization and investigated by DSC, XRD, PLM, and in vitro dissolution study. Results showed that HME technique gave the highest MX dissolution rate compared to other techniques (FM & PM). At constant level of factor (C), the amount of MX dissolved increased by decreasing MX loading and increasing Soluplus in carriers' ratio. Actual responses of the optimized formulation were in close consistency with predicted data. Amorphous form of MX in the optimized formulation was proved by DSC, XRD, and PLM. Selected factors and their levels of the optimization design were significantly valuable for demonstrating and adapting the expected formulation characteristics for rapid dissolution of MX (Q= 89.09%) from fresh and stored samples.
本研究旨在采用响应面法(RSM)制备和优化美洛昔康(MX)固体分散体。RSM 允许识别研究因素对 MX 溶解的主要影响和相互作用,并加速优化过程。提出了 3 因素 27 水平的完全析因设计。研究了在水中新鲜和储存样品中,药物载量百分比(A)、载体比(B)、制备方法(C)及其相互作用对 10 和 30 分钟后 MX 溶解百分比(Q 和 Q)的影响。考虑的水平为 2.5%、5.0%和 7.5%(因子 A),Soluplus®/聚氧乙烯 407 的三种比例(因子 B)。物理混合物(PM)、熔融法(FM)和热熔挤出(HME)被认为是因子(C)。在应激条件下进行了 3 个月的稳定性研究。通过 3 个额外的检查点配方验证了提出的优化设计。通过数值优化选择了优化配方,并通过 DSC、XRD、PLM 和体外溶解研究进行了研究。结果表明,与其他技术(FM 和 PM)相比,HME 技术给出了最高的 MX 溶解速率。在固定因子(C)水平下,随着 MX 载药量的降低和载体中 Soluplus 比例的增加,溶解的 MX 量增加。优化配方的实际响应与预测数据非常一致。DSC、XRD 和 PLM 证明了优化配方中 MX 的无定形形式。所选因素及其水平的优化设计对于证明和适应预期配方特性具有重要价值,可使 MX (Q=89.09%)从新鲜和储存样品中快速溶解。