Statistical method of pore size distribution of disordered mesoporous materials based on electron microscope imaging

Abstract

Mesoporous materials can efficiently treat harmful substances in wastewater by virtue of the pore structure with a high specific surface area. Currently, the characterization of the pore structure of mesoporous materials is generally obtained by physical experiments. However, due to the limitation of experimental conditions, repeated measurement experiments will waste a lot of time and may damage the pore structure. In addition, for disordered mesoporous materials with a large pore size span and irregular pore positions, it is difficult to accurately analyze the pore size distribution law with the human eye observation through electron microscope images. Aiming at this problem, this paper proposes a method to rapidly calculate the pore size distribution of materials based on SEM imaging. Firstly, the image is preprocessed. Secondly, the pore distribution information is obtained by the filling ball method, and finally the probability density curve of the pore size distribution is obtained according to the statistical method. The results show that the pore size probability density curve obtained by this method is very similar to the actual pore size distribution curve and the error is less than 11%. The proposed method provides a new direction for the analysis of disordered mesoporous materials.