Dataset Information

The Combined Use of Imaging Approaches to Assess Drug Release from Multicomponent Solid Dispersions.

ABSTRACT:

Purpose

Imaging methods were used as tools to provide an understanding of phenomena that occur during dissolution experiments, and ultimately to select the best ratio of two polymers in a matrix in terms of enhancement of the dissolution rate and prevention of crystallization during dissolution.

Methods

Magnetic resonance imaging, ATR-FTIR spectroscopic imaging and Raman mapping have been used to study the release mechanism of a poorly water soluble drug, aprepitant, from multicomponent amorphous solid dispersions. Solid dispersions were prepared based on the combination of two selected polymers - Soluplus, as a solubilizer, and PVP, as a dissolution enhancer. Formulations were prepared in a ratio of Soluplus:PVP 1:10, 1:5, 1:3, and 1:1, in order to obtain favorable properties of the polymer carrier.

Results

The crystallization of aprepitant during dissolution has occurred to a varying degree in the polymer ratios 1:10, 1:5, and 1:3, but the increasing presence of Soluplus in the formulation delayed the onset of crystallization. The Soluplus:PVP 1:1 solid dispersion proved to be the best matrix studied, combining the abilities of both polymers in a synergistic manner.

Conclusions

Aprepitant dissolution rate has been significantly enhanced. This study highlights the benefits of combining imaging methods in order to understand the release process.

SUBMITTER: Puncochova K

PROVIDER: S-EPMC5382183 | biostudies-literature | 2017 May

REPOSITORIES: biostudies-literature

ACCESS DATA

Publications

The Combined Use of Imaging Approaches to Assess Drug Release from Multicomponent Solid Dispersions.

Punčochová Kateřina K Ewing Andrew V AV Gajdošová Michaela M Pekárek Tomáš T Beránek Josef J Kazarian Sergei G SG Štěpánek František F

Pharmaceutical research 20160829 5

<h4>Purpose</h4>Imaging methods were used as tools to provide an understanding of phenomena that occur during dissolution experiments, and ultimately to select the best ratio of two polymers in a matrix in terms of enhancement of the dissolution rate and prevention of crystallization during dissolution.<h4>Methods</h4>Magnetic resonance imaging, ATR-FTIR spectroscopic imaging and Raman mapping have been used to study the release mechanism of a poorly water soluble drug, aprepitant, from multicom ...[more]

PMID: 27573574

Similar Datasets

Project description:The quantum mechanics-aided COSMO-SAC activity coefficient model is applied and systematically examined for predicting the thermodynamic compatibility of drugs and polymers. The drug-polymer compatibility is a key aspect in the rational selection of optimal polymeric carriers for pharmaceutical amorphous solid dispersions (ASD) that enhance drug bioavailability. The drug-polymer compatibility is evaluated in terms of both solubility and miscibility, calculated using standard thermodynamic equilibrium relations based on the activity coefficients predicted by COSMO-SAC. As inherent to COSMO-SAC, our approach relies only on quantum-mechanically derived σ-profiles of the considered molecular species and involves no parameter fitting to experimental data. All σ-profiles used were determined in this work, with those of the polymers being derived from their shorter oligomers by replicating the properties of their central monomer unit(s). Quantitatively, COSMO-SAC achieved an overall average absolute deviation of 13% in weight fraction drug solubility predictions compared to experimental data. Qualitatively, COSMO-SAC correctly categorized different polymer types in terms of their compatibility with drugs and provided meaningful estimations of the amorphous-amorphous phase separation. Furthermore, we analyzed the sensitivity of the COSMO-SAC results for ASD to different model configurations and σ-profiles of polymers. In general, while the free volume and dispersion terms exerted a limited effect on predictions, the structures of oligomers used to produce σ-profiles of polymers appeared to be more important, especially in the case of strongly interacting polymers. Explanations for these observations are provided. COSMO-SAC proved to be an efficient method for compatibility prediction and polymer screening in ASD, particularly in terms of its performance-cost ratio, as it relies only on first-principles calculations for the considered molecular species. The open-source nature of both COSMO-SAC and the Python-based tool COSMOPharm, developed in this work for predicting the API-polymer thermodynamic compatibility, invites interested readers to explore and utilize this method for further research or assistance in the design of pharmaceutical formulations.

Project description:The maximum achievable concentration of a drug in solution is dictated by the chemical potential of the solid form. Because an amorphous solid has a higher chemical potential than the corresponding crystal form, in the absence of phase transformations, a higher transient solubility is expected. However, the chemical potential of an amorphous drug can be reduced by mixing with another component. Therefore, upon mixing with a polymer to form an amorphous solid dispersion (ASD), the maximum solution concentration achieved can be potentially altered, in particular if the polymer is poorly soluble in the dissolution medium. Such changes in the chemical potential of the drug may be a critical factor in determining the maximum achievable solution concentration, and could alter the crystallization driving force of the drug. Therefore, the aim of this study was to gain insights into the impact of poorly soluble polymers on the "amorphous solubility" of drugs formulated as amorphous solid dispersions. Lopinavir was selected as a model drug with a low crystallization tendency, enabling determination of the amorphous solubility as a function of ASD composition. Model polymers included cellulose acetate (CA), CA phthalate (CAP), ethylcellulose (EC), Eudragit® RL PO (EUD), hydroxypropylmethylcellulose (HPMC), HPMC acetate succinate (HPMCAS), and HPMC phthalate (HPMCP). The "amorphous solubility" of the drug alone was determined and then the changes in maximum achievable concentration were measured as a function of drug loading. Drug-polymer interactions were characterized using infrared spectroscopy (IR), differential scanning calorimetry (DSC) and moisture sorption analysis. The results showed that the maximum achievable concentration ("amorphous solubility") of lopinavir varied with the extent of drug-polymer interactions, as well as the drug weight fraction in the ASD. This information is of great value when evaluating the maximum achievable concentration of amorphous systems formulated with pH responsive polymers, and should contribute to a broader understanding of drug phase behavior in the context of ASDs.

Dataset Information

The Combined Use of Imaging Approaches to Assess Drug Release from Multicomponent Solid Dispersions.

Purpose

Methods

Results

Conclusions

Publications

The Combined Use of Imaging Approaches to Assess Drug Release from Multicomponent Solid Dispersions.

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure

Tweets