Predictive Performance Comparison of Computed Linear and Quadratic Multivariate Models for In-Situ UV Fiber Optics Tablet Dissolution Testing

Accelerating pre-formulation investigations in early drug product life cycles using predictive methodologies and computational algorithms

Precisely developed computational methodologies can allow the drug product lifecycle process to be time-efficient, cost-effective and reliable through a thorough fundamental understanding at the molecular level. Computational methodologies include computational simulations, virtual screening, mathematical modeling and predictive tools. In light of current trends and increased expectations of product discovery in early pharmaceutical development, we have discussed different case studies. These case studies clearly demonstrate the successful application of predictive tools alone or in combination with analytical techniques to predict the physicochemical properties of drug substances and drug products, thereby shortening research and development timelines. The overall goal of this report is to summarize unique predictive methodologies, which can assist pharmaceutical scientists in achieving time-sensitive research goals and avoiding associated risks that can potentially affect the drug product quality.

Understanding the Impact of Multi-factorial Composition on Efficient Loading of the Stable Ketoprofen Nanoparticles on Orodispersible Films Using Box-Behnken Design

The purpose of the present study was to prepare Orodispersible films (ODFs) loaded with ketoprofen nanoparticles (KT-NP). The Box-Behnken design was constructed in developing and optimizing the KTF-NP-ODFs. The effect of independent variables: Soluplus® concentration (X₁, stabilizer), Tween 80 concentration (X₂, surfactant), and KTF concentration (X₃, drug) were studied on the dependent variables: particle size (PS, Y₁), zeta potential (ZP, Y₂), and the polydispersity index (PDI, Y₃) of the NPs, as well as on the tensile strength (TS, Y₄) and permeability coefficient (PC, Y₅) of the KTF-NP-ODFs. Hydroxypropyl methylcellulose (HPMC E15) and polyethylene glycol (PEG 400) were used as the film former polymer and plasticizer, respectively, and their concentrations were kept constant for all formulations. KTF-NPs were prepared by antisolvent precipitation technology. This was followed by the addition of HPMC E15 and PEG 400 to prepare the ODFs using the solvent-casting method. The PS, PDI, and ZP for all the formulations were found in the range of 94 nm to 350 nm, 0.09 to 0.438, and -21.83 mV to -8.03 mV, respectively. The TS and PC of the prepared KTF-NP-ODFs were found between 1.21 MPa to 3.93 MPa and 3.12 × 10^-4 cm/h to 34.23 × 10^-4 cm/h, respectively. The amorphous nature of the KTF-NP in the ODFs was confirmed by the absence of characteristic crystalline peaks and endothermic events of KTF in X-ray diffraction (XRD) and modulated differential scanning calorimetry (mDSC), respectively. The optimized formulation showed ̴ 4 times higher permeability as compared to the pure KTF. In addition, the dissolution of pure KTF and the optimized KTF-NP-ODF in pH 1.2 at the end of 60 min was found to be ̴ 30% and ̴ 95%, respectively. Conclusively, KTF-NP-ODFs can be a promising drug delivery system to counter the issues related to dysphagia and bypass the common side effects, such as the gastric irritation associated with NSAIDs like KTF.