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Microfabrication of Nanoporous Gold Patterns for Cell-material Interaction Studies

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Published on: July 15, 2013

Microanalysis of porous materials.

Loïc Sorbier¹, Elisabeth Rosenberg, Claude Merlet

¹Direction Physique et Analyse, Institut Français du Pétrole, BP3, 69390 Vernaison, France. loic.sorbier@ifp.fr

Microscopy and Microanalysis : the Official Journal of Microscopy Society of America, Microbeam Analysis Society, Microscopical Society of Canada

|September 29, 2009

Summary

Signal loss in electron probe microanalysis (EPMA) of porous materials is not due to physical effects like porosity or charging. Carbon contamination and altered stoichiometry are the primary causes of signal loss in heterogeneous catalysts.

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Surface Properties of Synthesized Nanoporous Carbon and Silica Matrices

Surface Properties of Synthesized Nanoporous Carbon and Silica Matrices

Published on: March 27, 2019

Area of Science:

Materials Science
Analytical Chemistry
Surface Science

Background:

Electron probe microanalysis (EPMA) often exhibits signal loss with porous, divided materials such as heterogeneous catalysts.
Previous hypotheses attributed this signal loss to porosity, roughness, interfacial energy losses, or charging effects.

Purpose of the Study:

To investigate the physical causes of signal loss in EPMA for porous materials.
To compare simulation results with experimental measurements on mesoporous alumina.

Main Methods:

Utilized Monte Carlo simulations with the PENELOPE package to model physical effects.
Investigated porosity, roughness, interfacial energy losses, and charging effects.
Performed experimental EPMA on mesoporous alumina and analyzed carbon and oxygen content.

Main Results:

Simulations demonstrated that porosity, roughness, interfacial energy losses, and charging effects do not explain the observed signal loss.
Experimental analysis confirmed accurate total concentrations when considering carbon and oxygen.
The primary cause identified was a compositional effect due to carbon contamination from sample preparation and altered alumina stoichiometry.

Conclusions:

Signal loss in EPMA of porous samples is not caused by the commonly assumed physical phenomena.
Surface contamination, even in small amounts, significantly impacts quantification in high surface area samples.
Accurate quantification requires accounting for surface contamination and compositional variations in porous materials.