Improved Method for Analysis of Airborne Asbestos Fibers Using Phase Contrast Microscopy and FTIR Spectrometry.

Autor:	Azari MR; Safety Promotion and Injury Prevention Research Center, Shahid Beheshti University of Medical Sciences, Tehran, Iran ; Department of Occupational Hygiene, College of Public Health, Shahid Beheshti University of Medical Sciences, Tehran, Iran., Yazdian A; Department of Occupational Hygiene, College of Public Health, Shahid Beheshti University of Medical Sciences, Tehran, Iran., Zendehdel R; Department of Occupational Hygiene, College of Public Health, Shahid Beheshti University of Medical Sciences, Tehran, Iran., Souri H; Safety Promotion and Injury Prevention Research Center, Shahid Beheshti University of Medical Sciences, Tehran, Iran ; Department of Occupational Hygiene, College of Public Health, Shahid Beheshti University of Medical Sciences, Tehran, Iran., Khodakarim S; Department of Occupational Hygiene, College of Public Health, Shahid Beheshti University of Medical Sciences, Tehran, Iran., Peirovi H; Medical Nanotechnology & Tissue Engineering Research Center, Shahid Beheshti University of Medical Sciences, Tehran, Iran., Panahi D; Department of Occupational Hygiene, College of Public Health, Shahid Beheshti University of Medical Sciences, Tehran, Iran., Kazempour M; Department of Occupational Hygiene, College of Public Health, Shahid Beheshti University of Medical Sciences, Tehran, Iran.
Jazyk:	angličtina
Zdroj:	Tanaffos [Tanaffos] 2014; Vol. 13 (3), pp. 38-45.
Abstrakt:	Background: In recent years, some studies have tried to improve Phase Contrast Microscopy (PCM) for counting asbestos fibers. Due to the lack of a universally accepted alternative method, this study aimed to improve PCM for better counting of asbestos fibers. Materials and Methods: Confirmed asbestos standards were applied using a dust generator for sampling. Sampling from the dust generator was carried out according to the Occupational Safety and Health Administration (OSHA) ID-160 method and 95 samples with diverse densities were prepared to be counted using conventional and modern PCM. All samples were counted single blindly by a co-author of this study and the obtained data were analyzed by paired t-test, correlation coefficient and Bland-Altman analysis. Duplicate samples were prepared for qualitative analysis by Fourier transform infrared spectroscopy (FT-IR), scanning electron microscopy (SEM) and X ray. Results: Asbestos densities on filters were in the range of less than 100 to 600 fibers/mm(2). Statistically, significant differences were observed for the count density of the 95 samples counted by the two phase contrast microscopes (P<0.001). Nikon microscope demonstrated higher counts compared to conventional microscope and had a lower coefficient of variation. Samples were analyzed qualitatively using FT-IR and SEM, and the presence of asbestos fibers was confirmed. Conclusion: The improved PCM and FT-IR methods presented in this study demonstrated more precise and accurate determination of personal exposure to airborne asbestos fibers and subsequent risk assessment.
Databáze:	MEDLINE
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