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Chemical Shift: Internal References and Solvent Effects01:17

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Size-selective poorly soluble particulate reference materials for evaluation of quantitative analytical methods.

Aleksandr B Stefaniak1, Gregory C Turk, Robert M Dickerson

  • 1National Institute for Occupational Safety and Health, Centers for Disease Control and Prevention, 1095 Willowdate Road, Morgantown, WV 26505, USA. astefaniak@cdc.gov

Analytical and Bioanalytical Chemistry
|January 29, 2008
PubMed
Summary

Certified particulate reference materials are crucial for accurate environmental analysis. This study characterizes beryllium oxide particles for developing new reference materials to improve analytical method validation.

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Area of Science:

  • Environmental Science
  • Materials Science
  • Analytical Chemistry

Background:

  • Current analytical methods for particulate contaminants often rely on solution reference materials (RMs).
  • This approach does not fully validate the digestion step for diverse particle forms and sizes.
  • A need exists for certified particulate RMs to enhance method evaluation.

Purpose of the Study:

  • To characterize beryllium oxide (BeO) particles for potential use as size-selective reference materials.
  • To support the development of a library of particulate RMs with varying chemical forms and particle sizes.
  • To illustrate an approach for developing RMs that are challenging to digest.

Main Methods:

  • Characterization of bulk and size-separated beryllium oxide (BeO) particles.
  • Analysis of particle morphology, size distribution, surface area, and density.
  • Recovery of particles from industrial ceramic products grinding operation machining fluid sludge.

Main Results:

  • BeO particles were identified as large agglomerates of crystalline primary particles (micrometer-sized).
  • Particle surface area was consistent across sieve sizes (3.61–4.82 m²/g).
  • Measured density closely matched the theoretical value (3.01 g/cm³).

Conclusions:

  • The characterized BeO sludge materials are suitable for development into size-selective reference materials.
  • This research demonstrates a viable method for creating difficult-to-digest RMs.
  • Improved RMs will enhance the accuracy of particulate contaminant analysis in various environments.