Real-time release testing of in vitro dissolution and blend uniformity in a continuous powder blending process by NIR spectroscopy and machine vision.
Eur J Pharm Biopharm
; 201: 114368, 2024 Aug.
Article
em En
| MEDLINE
| ID: mdl-38880401
ABSTRACT
Continuous manufacturing is gaining increasing interest in the pharmaceutical industry, also requiring real-time and non-destructive quality monitoring. Multiple studies have already addressed the possibility of surrogate in vitro dissolution testing, but the utilization has rarely been demonstrated in real-time. Therefore, in this work, the in-line applicability of an artificial intelligence-based dissolution surrogate model is developed the first time. NIR spectroscopy-based partial least squares regression and artificial neural networks were developed and tested in-line and at-line to assess the blend uniformity and dissolution of encapsulated acetylsalicylic acid (ASA) - microcrystalline cellulose (MCC) powder blends in a continuous blending process. The studied blend is related to a previously published end-to-end manufacturing line, where the varying size of the ASA crystals obtained from a continuous crystallization significantly affected the dissolution of the final product. The in-line monitoring was suitable for detecting the variations in the ASA content and dissolution caused by the feeding of ASA with different particle sizes, and the at-line predictions agreed well with the measured validation dissolution curves (f2 = 80.5). The results were further validated using machine vision-based particle size analysis. Consequently, this work could contribute to the advancement of RTRT in continuous end-to-end processes.
Palavras-chave
Texto completo:
1
Base de dados:
MEDLINE
Assunto principal:
Pós
/
Solubilidade
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Celulose
/
Aspirina
/
Espectroscopia de Luz Próxima ao Infravermelho
Idioma:
En
Revista:
Eur J Pharm Biopharm
Assunto da revista:
FARMACIA
/
FARMACOLOGIA
Ano de publicação:
2024
Tipo de documento:
Article
País de afiliação:
Hungria