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Potential of Near-Infrared Chemical Imaging as Process Analytical Technology Tool for Continuous Freeze-Drying.
Brouckaert, Davinia; De Meyer, Laurens; Vanbillemont, Brecht; Van Bockstal, Pieter-Jan; Lammens, Joris; Mortier, Séverine; Corver, Jos; Vervaet, Chris; Nopens, Ingmar; De Beer, Thomas.
Afiliación
  • Brouckaert D; Laboratory of Pharmaceutical Process Analytical Technology , Ghent University , Ottergemsesteenweg 460 , 9000 Ghent , Belgium.
  • De Meyer L; Laboratory of Pharmaceutical Process Analytical Technology , Ghent University , Ottergemsesteenweg 460 , 9000 Ghent , Belgium.
  • Vanbillemont B; Laboratory of Pharmaceutical Process Analytical Technology , Ghent University , Ottergemsesteenweg 460 , 9000 Ghent , Belgium.
  • Van Bockstal PJ; Laboratory of Pharmaceutical Process Analytical Technology , Ghent University , Ottergemsesteenweg 460 , 9000 Ghent , Belgium.
  • Lammens J; Laboratory of Pharmaceutical Technology , Ghent University , Ottergemsesteenweg 460 , 9000 Ghent , Belgium.
  • Mortier S; Laboratory of Pharmaceutical Process Analytical Technology , Ghent University , Ottergemsesteenweg 460 , 9000 Ghent , Belgium.
  • Corver J; BIOMATH , Ghent University , Coupure Links 653 , 9000 Ghent , Belgium.
  • Vervaet C; RheaVita , High Tech Campus 9 , NL 5656 AE Eindhoven , The Netherlands.
  • Nopens I; Laboratory of Pharmaceutical Technology , Ghent University , Ottergemsesteenweg 460 , 9000 Ghent , Belgium.
  • De Beer T; BIOMATH , Ghent University , Coupure Links 653 , 9000 Ghent , Belgium.
Anal Chem ; 90(7): 4354-4362, 2018 04 03.
Article en En | MEDLINE | ID: mdl-29528218
ABSTRACT
Near-infrared chemical imaging (NIR-CI) is an emerging tool for process monitoring because it combines the chemical selectivity of vibrational spectroscopy with spatial information. Whereas traditional near-infrared spectroscopy is an attractive technique for water content determination and solid-state investigation of lyophilized products, chemical imaging opens up possibilities for assessing the homogeneity of these critical quality attributes (CQAs) throughout the entire product. In this contribution, we aim to evaluate NIR-CI as a process analytical technology (PAT) tool for at-line inspection of continuously freeze-dried pharmaceutical unit doses based on spin freezing. The chemical images of freeze-dried mannitol samples were resolved via multivariate curve resolution, allowing us to visualize the distribution of mannitol solid forms throughout the entire cake. Second, a mannitol-sucrose formulation was lyophilized with variable drying times for inducing changes in water content. Analyzing the corresponding chemical images via principal component analysis, vial-to-vial variations as well as within-vial inhomogeneity in water content could be detected. Furthermore, a partial least-squares regression model was constructed for quantifying the water content in each pixel of the chemical images. It was hence concluded that NIR-CI is inherently a most promising PAT tool for continuously monitoring freeze-dried samples. Although some practicalities are still to be solved, this analytical technique could be applied in-line for CQA evaluation and for detecting the drying end point.

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Tipo de estudio: Prognostic_studies Idioma: En Revista: Anal Chem Año: 2018 Tipo del documento: Article País de afiliación: Bélgica

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Tipo de estudio: Prognostic_studies Idioma: En Revista: Anal Chem Año: 2018 Tipo del documento: Article País de afiliación: Bélgica