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Round-Robin Tests with Relocatable Coverslips Improve Asbestos Fibre Counting.

Carla Fanizza1, Giuseppe Castellet Y Ballarà2, Federica Incoronato1

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Annals of Work Exposures and Health
|January 20, 2022
PubMed
Summary

This study assessed asbestos fibre counting proficiency using relocatable coverslips. Analysts showed improvement in amosite counting, but chrysotile counting proficiency varied, with oversight errors significantly impacting results.

Keywords:
analyst performanceasbestos fibresinter-counter precisionphase-contrast microscoperelocatable coverslips

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Area of Science:

  • Occupational Health
  • Environmental Science
  • Analytical Chemistry

Background:

  • Asbestos fibre counting accuracy is crucial for health and safety.
  • Phase-contrast microscopy methods are prone to analyst-dependent variations.
  • Standardized proficiency testing is needed to ensure reliable asbestos analysis.

Purpose of the Study:

  • To evaluate analyst proficiency in asbestos fibre counting using relocatable coverslips.
  • To identify and quantify sources of error in asbestos fibre enumeration.
  • To establish performance benchmarks for asbestos analysis.

Main Methods:

  • Distribution of amosite and chrysotile asbestos sample slides with relocatable coverslips to voluntary analysts.
  • Conducting multiple rounds of proficiency testing, with analysts reporting fibre counts and positions.
  • Evaluation of reported data against verified fibres to calculate proficiency scores and identify error types.

Main Results:

  • Amosite fibre counting showed generally good results, with a major error in counting fibres shorter than 5 µm.
  • Chrysotile fibre counting demonstrated initial low performance, with significant improvement over rounds but not consistently.
  • Oversight-missing fibres were the primary error source for chrysotile, while short fibres impacted amosite counts.

Conclusions:

  • Relocatable coverslips facilitate proficiency assessment in asbestos fibre counting.
  • Analyst performance in asbestos analysis can be improved through targeted training and feedback.
  • Consistent accuracy in chrysotile fibre counting remains a challenge, requiring further investigation into error reduction strategies.