Investigation of Stabilized Amorphous Solid Dispersions to Improve Oral Olaparib Absorption.

In this study, we investigated the formulation of stable solid dispersions to enhance the bioavailability of olaparib (OLA), a therapeutic agent for ovarian cancer and breast cancer characterized as a BCS class IV drug with low solubility and low permeability. Various polymers were screened based on solubility tests, and OLA-loaded solid dispersions were prepared using spray drying. The physicochemical properties of these dispersions were investigated via scanning electron microscopy (SEM), differential scanning calorimetry (DSC), powder X-ray diffraction (PXRD), and Fourier Transform Infrared Spectroscopy (FT-IR). Subsequent dissolution tests, along with assessments of morphological and crystallinity changes in aqueous solutions, led to the selection of a hypromellose (HPMC)-based OLA solid dispersion as the optimal formulation. HPMC was effective at maintaining the supersaturation of OLA in aqueous solutions and exhibited a stable amorphous state without recrystallization. In an in vivo study, this HPMC-based OLA solid dispersion significantly enhanced bioavailability, increasing AUC0-24 by 4.19-fold and Cmax by more than 10.68-fold compared to OLA drug powder (crystalline OLA). Our results highlight the effectiveness of HPMC-based solid dispersions in enhancing the oral bioavailability of OLA and suggest that they could be an effective tool for the development of oral drug formulations.

Dynamic calibration for the in-line NIR monitoring of film thickness of pharmaceutical tablets processed in a fluid-bed coater.

NIR spectroscopy has been extensively employed for the in-line monitoring of pharmaceutical processes as one of the key PAT implementation tools. Nevertheless, pharmaceutical processes such as fluid-bed coating have not fully made the most of the NIR in-line monitoring primarily due to a difficulty in handling random in-line spectra. In this study, novel approaches to develop a reasonable dynamic calibration model were proposed; averaging and clustering. Pharmaceutical test tablets were coated with HPMC-based materials using a fluid-bed processor. During the 160 min coating process under tangential spraying mode, 10 tablets were sampled out at every 10 min mark for actual coating thickness measurements. NIR spectra at and near each 10 min mark were treated and processed by the averaging and clustering operations. Averaging of 21 spectra resulted in a reasonably good dynamic calibration model whose determination coefficient was estimated as high as 0.9916. The PCA-based clustering turned out to be substantially helpful especially when a large number of NIR spectra were averaged. A prediction experiment verified that our dynamic calibration model can control the coating thickness in-line as good as 3% deviated from the actual thickness, which can offer a reasonable end-point for the fluid-bed coating process.