Publications by authors named "Martin Beauparlant"

Transmission electron microscopy (TEM) is a powerful and efficient tool for the analysis of asbestos fibers. Although this analysis technique is common and several standard methods exist for asbestos analysis, questions remain about the optimal conditions to be used. Because asbestos fibers are relatively sensitive to the electron beam, it is important to better understand the phenomena of damage in order to avoid them.

View Article and Find Full Text PDF

Damage to asbestos fibers by the transmission electron microscope (TEM) electron beam is a known limitation of this powerful method of analysis. Although it is often considered only in terms of loss of crystallinity, recent studies have shown that the damage may also change the elemental composition of fibers, thus causing significant identification errors. In this study, the main objective was to assess whether temperature is a factor influencing damage to asbestos fibers and, if so, how it can be used to minimize damage.

View Article and Find Full Text PDF

Asbestos amosite fibers were investigated to evaluate the damage caused by a transmission electron microscope (TEM) electron beam. Since elemental x-ray intensity ratios obtained by energy dispersive x-ray spectroscopy (EDS) are commonly used for asbestos identification, the impact of beam damage on these ratios was evaluated. It was determined that the magnesium/silicon ratio best represented the damage caused to the fiber.

View Article and Find Full Text PDF
Article Synopsis
  • It’s crucial for analytical results, especially for respirable alpha-quartz, to be comparable to maintain consistent monitoring across controls.
  • Proper analytical practices, such as adjusting measurement results for crystalline material percentages, are important for accurate result interpretation by professionals in occupational hygiene.
  • The ISO working group studied the differences in crystallinity values obtained from various methods and recommended standard values, revealing significant variances that influence the reliability of measurement results.
View Article and Find Full Text PDF