New characterization measures of pore shape and connectivity applied to coatings used for controlled drug release
Journal article, 2021

Pore geometry characterization-methods are important tools for understanding how pore structure influences properties such as transport through a porous material. Bottlenecks can have a large influence on transport and related properties. However, existing methods only catch certain types of bottleneck effects caused by variations in pore size. We here introduce a new measure, geodesic channel strength, which captures a different type of bottleneck effect caused by many paths coinciding in the same pore. We further develop new variants of pore size measures and propose a new way of visualizing 3-D characterization results using layered images. The new measures together with existing measures were used to characterize and visualize properties of 3-D FIB-SEM images of three leached ethyl-cellulose/hydroxypropyl-cellulose films. All films were shown to be anisotropic, and the strongest anisotropy was found in the film with lowest porosity. This film had very tortuous paths and strong geodesic channel-bottlenecks, while the paths through the other two films were relatively straight with well-connected pore networks. The geodesic channel strength was shown to give important new visual and quantitative insights about connectivity, and the new pore size measures provided useful information about anisotropies and inhomogeneities in the pore structures. The methods have been implemented in the freely available software MIST.

Author

Sandra Eriksson Barman

Chalmers, Mathematical Sciences, Applied Mathematics and Statistics

Cecilia Fager

Chalmers, Physics, Nano and Biophysics

Magnus Röding

RISE Research Institutes of Sweden

Chalmers, Mathematical Sciences, Applied Mathematics and Statistics

Niklas Lorén

Chalmers, Physics, Nano and Biophysics

RISE Research Institutes of Sweden

Christian von Corswant

AstraZeneca AB

Eva Olsson

Chalmers, Physics, Nano and Biophysics

David Bolin

King Abdullah University of Science and Technology (KAUST)

Holger Rootzen

Chalmers, Mathematical Sciences, Applied Mathematics and Statistics

Journal of Pharmaceutical Sciences

0022-3549 (ISSN) 15206017 (eISSN)

Vol. 110 7 2753-2764

Latent jump fields for spatial statistics

Swedish Research Council (VR) (2016-04187), 2017-01-01 -- 2020-12-31.

Subject Categories

Paper, Pulp and Fiber Technology

Polymer Technologies

Materials Chemistry

DOI

10.1016/j.xphs.2021.02.024

PubMed

33711347

More information

Latest update

4/5/2022 5