Quantitative Image Analysis for Evaluating the Coating Thickness and Pore Distribution in Coated Small Particles
| Autor: | P. J. A. Hartman Kok, van der Kees Voort Maarschalk, Henderik W. Frijlink, F L Laksmana, Herman Vromans, L.J. van Vliet |
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| Přispěvatelé: | Pharmaceutical Technology and Biopharmacy, Biopharmaceuticals, Discovery, Design and Delivery (BDDD) |
| Jazyk: | angličtina |
| Rok vydání: | 2009 |
| Předmět: |
Pore size
Technology Materials science Time Factors quantitative image analysis Image Processing Pharmaceutical Science Nanotechnology Image processing engineering.material Methylcellulose thickness distribution Hypromellose Derivatives Computer-Assisted pore size distribution Coating Models Microscopy Image Processing Computer-Assisted Technology Pharmaceutical Pharmacology (medical) Composite material Particle Size Porosity Cellulose Pharmacology Dosage Forms Microscopy Confocal Models Statistical Organic Chemistry coating Statistical Characterization (materials science) Confocal Pharmaceutical engineering Molecular Medicine Particle Particle size Algorithms Biotechnology |
| Zdroj: | Pharmaceutical Research, 26 (4), 2009 Pharmaceutical Research, 26(4), 965-976. SPRINGER/PLENUM PUBLISHERS |
| ISSN: | 0724-8741 1573-904X |
| DOI: | 10.1007/s11095-008-9805-y |
| Popis: | Purpose This study aims to develop a characterization method for coating structure based on image analysis, which is particularly promising for the rational design of coated particles in the pharmaceutical industry. Methods The method applies the MATLAB image processing toolbox to images of coated particles taken with Confocal Laser Scanning Microscopy (CSLM). The coating thicknesses have been determined along the particle perimeter, from which a statistical analysis could be performed to obtain relevant thickness properties, e.g. the minimum coating thickness and the span of the thickness distribution. The characterization of the pore structure involved a proper segmentation of pores from the coating and a granulometry operation. Results The presented method facilitates the quantification of porosity, thickness and pore size distribution of a coating. These parameters are considered the important coating properties, which are critical to coating functionality. Additionally, the effect of the coating process variations on coating quality can straight-forwardly be assessed. Conclusions Enabling a good characterization of the coating qualities, the presented method can be used as a fast and effective tool to predict coating functionality. This approach also enables the influence of different process conditions on coating properties to be effectively monitored, which latterly leads to process tailoring. |
| Databáze: | OpenAIRE |
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