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Pore Size Distribution

Pore Size Distribution

In concrete, the pore size distribution significantly influences the material's properties. Capillary pores, markedly larger than gel pores, form a vast network within partially hydrated cement paste, reducing the concrete's strength and increasing its permeability. This heightened permeability leads to a greater risk of damage from environmental factors like freeze-thaw cycles and chemical attacks, with the extent of vulnerability also being tied to the water-to-cement ratio.
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Updated: Jun 27, 2026

Quantitative and Qualitative Examination of Particle-particle Interactions Using Colloidal Probe Nanoscopy

Quantitative and Qualitative Examination of Particle-particle Interactions Using Colloidal Probe Nanoscopy

Published on: July 18, 2014

Quantitative image analysis for evaluating the coating thickness and pore distribution in coated small particles.

F L Laksmana¹, L J Van Vliet, P J A Hartman Kok

¹Department of Pharmaceutical Technology and Biopharmacy, University of Groningen, A. Deusinglaan 1, 9713 AV, Groningen, The Netherlands. F.L.Laksmana@gmail.com

Pharmaceutical Research

|December 17, 2008

Summary

This study introduces an image analysis method to characterize coating structure, enabling precise measurement of thickness and porosity for pharmaceutical particle design. This tool aids in assessing coating quality and predicting functionality.

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Last Updated: Jun 27, 2026

Quantitative and Qualitative Examination of Particle-particle Interactions Using Colloidal Probe Nanoscopy

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Published on: July 18, 2014

Preparation of Nanoparticles for ToF-SIMS and XPS Analysis

Preparation of Nanoparticles for ToF-SIMS and XPS Analysis

Published on: September 13, 2020

Area of Science:

Materials Science
Pharmaceutical Technology
Image Analysis

Background:

Coated particles are crucial in pharmaceuticals for drug delivery and stability.
Rational design of coated particles requires detailed characterization of coating structure.
Existing methods may not offer comprehensive analysis of coating properties.

Purpose of the Study:

To develop an image analysis-based method for characterizing coating structure.
To enable rational design of coated particles in the pharmaceutical industry.
To provide a tool for assessing coating quality and predicting functionality.

Main Methods:

Utilized MATLAB image processing toolbox with Confocal Laser Scanning Microscopy (CSLM) images.
Determined coating thicknesses along particle perimeters for statistical analysis.
Characterized pore structure using segmentation and granulometry operations.

Main Results:

Quantified coating porosity, thickness, and pore size distribution.
Identified key coating properties critical for functionality.
Enabled straightforward assessment of coating quality variations.

Conclusions:

The method provides effective characterization of coating qualities.
It serves as a fast tool for predicting coating functionality.
Facilitates monitoring of process conditions' influence on coating properties for process tailoring.