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1.
Pharmaceutics ; 14(5)2022 May 12.
Artigo em Inglês | MEDLINE | ID: mdl-35631630

RESUMO

Several literature publications have described the potential application of active pharmaceutical ingredient (API)-polymer phase diagrams to identify appropriate temperature ranges for processing amorphous solid dispersion (ASD) formulations via the hot-melt extrusion (HME) technique. However, systematic investigations and reliable applications of the phase diagram as a risk assessment tool for HME are non-existent. Accordingly, within AbbVie, an HME risk classification system (HCS) based on API-polymer phase diagrams has been developed as a material-sparing tool for the early risk assessment of especially high melting temperature APIs, which are typically considered unsuitable for HME. The essence of the HCS is to provide an API risk categorization framework for the development of ASDs via the HME process. The proposed classification system is based on the recognition that the manufacture of crystal-free ASD using the HME process fundamentally depends on the ability of the melt temperature to reach the API's thermodynamic solubility temperature or above. Furthermore, we explored the API-polymer phase diagram as a simple tool for process design space selection pertaining to API or polymer thermal degradation regions and glass transition temperature-related dissolution kinetics limitations. Application of the HCS was demonstrated via HME experiments with two high melting temperature APIs, sulfamerazine and telmisartan, with the polymers Copovidone and Soluplus. Analysis of the resulting ASDs in terms of the residual crystallinity and degradation showed excellent agreement with the preassigned HCS class. Within AbbVie, the HCS concept has been successfully applied to more than 60 different APIs over the last 8 years as a robust validated risk assessment and quality-by-design (QbD) tool for the development of HME ASDs.

2.
Int J Pharm ; 537(1-2): 132-139, 2018 Feb 15.
Artigo em Inglês | MEDLINE | ID: mdl-29253586

RESUMO

The aim of our work was to study and define a computationally-based adiabatic scale-up methodology for a hot-melt extrusion (HME) process to produce an amorphous solid dispersion (ASD). As a drug product becomes commercially viable, there is a need for scaling up the manufacturing process. In the case of HME used for the formation of ASDs, scale-up can be challenging due to the fundamental differences in how heat is generated in extruders of differing scale, i.e. conduction vs. viscous dissipation and the significant role heat generation plays in determining the final product attributes. Using a 30%w/w dipyridamole-in-copovidone formulation, 11 mm-, 16 mm- and 24 mm-diameter extruders with L/D 40, solid-state characterization tools, a geometric scaling equation, and Ludovic® twin-screw extrusion software, we compared the total imparted material energy, the conducted energy and the difference between barrel and melt temperature at die exit for various feed rates and screw speeds. Numerical simulation identified desirable adiabatic conditions at multiple extruder scales in agreement with the chosen scaling factor. With the use of computational tools, the energetics in an extrusion process can be evaluated and processing conditions can be selected to identify the most efficient scaling of a HME process.


Assuntos
Dipiridamol/química , Pirrolidinas/química , Compostos de Vinila/química , Química Farmacêutica/métodos , Temperatura Alta , Tamanho da Partícula , Polímeros/química , Temperatura , Viscosidade/efeitos dos fármacos
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