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In Situ Characterization of Boehmite Particles in Water Using Liquid SEM

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TEM image analysis and modelling: application to boehmite nanoparticles.

M Moreaud¹, D Jeulin, V Morard

¹IFP Energies nouvelles, rond point de l'échangeur de Solaize, Solaize, France. maxime.moreaud@ifpen.fr

Journal of Microscopy

|November 3, 2011

Summary

This summary is machine-generated.

This study introduces a novel method to accurately estimate boehmite nanoparticle size from transmission electron microscopy images. The dilution model approach accounts for noise and artifacts, improving catalyst activity predictions.

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Area of Science:

Materials Science
Nanotechnology
Catalysis

Background:

Boehmite nanoparticles are crucial for alumina catalyst supports in refining and petrochemicals.
Their size and shape directly influence catalyst activity.
Transmission electron microscopy (TEM) is used to observe these aggregated nanoparticles.

Purpose of the Study:

To develop an accurate method for estimating boehmite nanoparticle size from TEM images.
To address challenges posed by nanoparticle aggregation, noise, and diffraction artifacts in TEM analysis.
To refine nanoparticle size estimation for improved catalyst performance prediction.

Main Methods:

Analysis of TEM images using a dilution model approach.
Removal of electronic noise and diffraction artifacts from nanoparticle edges.
Covariance measurements on micrographs to fit a numerical model.
Estimation of the covariogram of grains using a novel numerical method.
Investigation of noise, image filters, and model parameters' influence.

Main Results:

A dilution model provides accurate boehmite nanoparticle size estimates from aggregated TEM images.
A novel numerical method effectively estimates the covariogram for model fitting.
The study quantifies the impact of noise, filters, and model parameters on size estimation.
Proposed procedures for nanoparticle size estimation using single and mixture-of-two particle models.

Conclusions:

The developed dilution model approach offers a robust method for boehmite nanoparticle size determination.
Accurate size estimation is vital for optimizing alumina-based catalysts in industrial applications.
This work provides refined procedures for analyzing TEM data of aggregated nanoparticles.