Literature DB >> 23307418

A new approach to dissolution testing by UV imaging and finite element simulations.

Johan P Boetker1, Jukka Rantanen, Thomas Rades, Anette Müllertz, Jesper Ostergaard, Henrik Jensen.   

Abstract

PURPOSE: Most dissolution testing systems rely on analyzing samples taken remotely from the dissolving sample surface at different time points with poor time resolution and therefore provide relatively unresolved temporally and spatially information on the dissolution process. In this study, a flexible numerical model was combined with a novel UV imaging system, allowing monitoring of the dissolution process with sub second time resolution.
METHODS: The dissolution process was monitored by both effluent collection and UV imaging of compacts of paracetamol. A finite element model (FEM) was used to characterize the UV imaging system.
RESULTS: A finite element model of the UV imaging system was successfully built. The dissolution of paracetamol was studied by UV imaging and by analysis of the effluent. The dissolution rates obtained from the collected effluent were in good agreement with the numerical model. The numerical model allowed an assessment of the ability of the UV imager to measure dissolution-time profiles. The simulation was able to extend the experimental results to conditions not easily obtained experimentally.
CONCLUSIONS: Combining FEM,experimental dissolution data and UV imaging provided experimental validation of the FEM model as well as a detailed description of the dissolution process.

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Year:  2013        PMID: 23307418     DOI: 10.1007/s11095-013-0972-0

Source DB:  PubMed          Journal:  Pharm Res        ISSN: 0724-8741            Impact factor:   4.200


  26 in total

1.  Convective diffusion model for a transport-controlled dissolution rate process.

Authors:  K G Nelson; A C Shah
Journal:  J Pharm Sci       Date:  1975-04       Impact factor: 3.534

2.  Insights into the early dissolution events of amlodipine using UV imaging and Raman spectroscopy.

Authors:  Johan P Boetker; Marja Savolainen; Vishal Koradia; Fang Tian; Thomas Rades; Anette Müllertz; Claus Cornett; Jukka Rantanen; Jesper Østergaard
Journal:  Mol Pharm       Date:  2011-06-20       Impact factor: 4.939

3.  Evaluation of a convective diffusion drug dissolution rate model.

Authors:  A C Shah; K G Nelson
Journal:  J Pharm Sci       Date:  1975-09       Impact factor: 3.534

4.  Measurement of drug diffusivities in pharmaceutical solvents using Taylor dispersion analysis.

Authors:  Fengbin Ye; Henrik Jensen; Susan W Larsen; Anan Yaghmur; Claus Larsen; Jesper Østergaard
Journal:  J Pharm Biomed Anal       Date:  2011-12-06       Impact factor: 3.935

5.  Hydrodynamic simulation (computational fluid dynamics) of asymmetrically positioned tablets in the paddle dissolution apparatus: impact on dissolution rate and variability.

Authors:  D M D'Arcy; O I Corrigan; A M Healy
Journal:  J Pharm Pharmacol       Date:  2005-10       Impact factor: 3.765

6.  Population in vitro-in vivo correlation model for pramipexole slow-release oral formulations.

Authors:  Elena Soto; Sebastian Haertter; Michael Koenen-Bergmann; Alexander Staab; Iñaki F Trocóniz
Journal:  Pharm Res       Date:  2009-12-29       Impact factor: 4.200

7.  Simultaneous evaluation of ligand binding properties and protein size by electrophoresis and Taylor dispersion in capillaries.

Authors:  Jesper Østergaard; Henrik Jensen
Journal:  Anal Chem       Date:  2009-10-15       Impact factor: 6.986

8.  Real-time UV imaging of drug diffusion and release from Pluronic F127 hydrogels.

Authors:  Fengbin Ye; Anan Yaghmur; Henrik Jensen; Susan W Larsen; Claus Larsen; Jesper Østergaard
Journal:  Eur J Pharm Sci       Date:  2011-04-27       Impact factor: 4.384

9.  A convective-diffusion model for dissolution of two non-interacting drug mixtures from co-compressed slabs under laminar hydrodynamic conditions.

Authors:  S Neervannan; L S Dias; M Z Southard; V J Stella
Journal:  Pharm Res       Date:  1994-09       Impact factor: 4.200

10.  A theoretical basis for a biopharmaceutic drug classification: the correlation of in vitro drug product dissolution and in vivo bioavailability.

Authors:  G L Amidon; H Lennernäs; V P Shah; J R Crison
Journal:  Pharm Res       Date:  1995-03       Impact factor: 4.200

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  3 in total

Review 1.  Application of UV Imaging in Formulation Development.

Authors:  Yu Sun; Jesper Østergaard
Journal:  Pharm Res       Date:  2016-10-20       Impact factor: 4.200

2.  Surface Dissolution UV Imaging for Investigation of Dissolution of Poorly Soluble Drugs and Their Amorphous Formulation.

Authors:  Chiau Ming Long; Kin Tang; Hitesh Chokshi; Nikoletta Fotaki
Journal:  AAPS PharmSciTech       Date:  2019-02-13       Impact factor: 3.246

3.  Determination of Inherent Dissolution Performance of Drug Substances.

Authors:  Dominik Sleziona; Amelie Mattusch; Gerhard Schaldach; David R Ely; Gabriele Sadowski; Markus Thommes
Journal:  Pharmaceutics       Date:  2021-01-22       Impact factor: 6.321

  3 in total

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