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Determination and Prediction of Respirable Dust and Crystalline-Free Silica in the Taiwanese Foundry Industry

Background: Respirable crystalline silica (RCS) has been recognized as a human carcinogen; however, the measurement and analysis of RCS in small-scale foundries is rare and difficult. This study aimed to measure respirable dust and RCS levels among 236 foundry workers in Taiwan and used these data t...

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Autores principales: Kuo, Ching-Tang, Chiu, Fen-Fen, Bao, Bo-Ying, Chang, Ta-Yuan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6210212/
https://www.ncbi.nlm.nih.gov/pubmed/30257469
http://dx.doi.org/10.3390/ijerph15102105
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author Kuo, Ching-Tang
Chiu, Fen-Fen
Bao, Bo-Ying
Chang, Ta-Yuan
author_facet Kuo, Ching-Tang
Chiu, Fen-Fen
Bao, Bo-Ying
Chang, Ta-Yuan
author_sort Kuo, Ching-Tang
collection PubMed
description Background: Respirable crystalline silica (RCS) has been recognized as a human carcinogen; however, the measurement and analysis of RCS in small-scale foundries is rare and difficult. This study aimed to measure respirable dust and RCS levels among 236 foundry workers in Taiwan and used these data to establish predictive models for personal exposure. Methods: Personal sampling of various production processes were measured gravimetrically and analyzed using the X-ray diffraction method. Multiple linear regression was used to establish predictive models. Results: Foundry workers were exposed to geometric means and geometric standard deviations of 0.52 ± 4.0 mg/m(3) and 0.027 ± 15 mg/m(3) for respirable dust and RCS, respectively. The highest exposure levels were observed among workers in the sand blasting process, with geometric means of 1.6 mg/m(3) and 0.099 mg/m(3) for respirable dust and RCS, respectively. The predictive exposure model for respirable dust fitted the data well (R(2) = 0.75; adjusted R(2) = 0.64), and the predictive capacity for RCS was higher (R(2) = 0.89; adjusted R(2) = 0.84). Conclusions: Foundry workers in the sand blasting process may be exposed to the highest levels of respirable dust and RCS. The developed models can be applied to predict respirable dust and RCS levels adequately in small-scale foundry workers for epidemiological studies.
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spelling pubmed-62102122018-11-02 Determination and Prediction of Respirable Dust and Crystalline-Free Silica in the Taiwanese Foundry Industry Kuo, Ching-Tang Chiu, Fen-Fen Bao, Bo-Ying Chang, Ta-Yuan Int J Environ Res Public Health Article Background: Respirable crystalline silica (RCS) has been recognized as a human carcinogen; however, the measurement and analysis of RCS in small-scale foundries is rare and difficult. This study aimed to measure respirable dust and RCS levels among 236 foundry workers in Taiwan and used these data to establish predictive models for personal exposure. Methods: Personal sampling of various production processes were measured gravimetrically and analyzed using the X-ray diffraction method. Multiple linear regression was used to establish predictive models. Results: Foundry workers were exposed to geometric means and geometric standard deviations of 0.52 ± 4.0 mg/m(3) and 0.027 ± 15 mg/m(3) for respirable dust and RCS, respectively. The highest exposure levels were observed among workers in the sand blasting process, with geometric means of 1.6 mg/m(3) and 0.099 mg/m(3) for respirable dust and RCS, respectively. The predictive exposure model for respirable dust fitted the data well (R(2) = 0.75; adjusted R(2) = 0.64), and the predictive capacity for RCS was higher (R(2) = 0.89; adjusted R(2) = 0.84). Conclusions: Foundry workers in the sand blasting process may be exposed to the highest levels of respirable dust and RCS. The developed models can be applied to predict respirable dust and RCS levels adequately in small-scale foundry workers for epidemiological studies. MDPI 2018-09-25 2018-10 /pmc/articles/PMC6210212/ /pubmed/30257469 http://dx.doi.org/10.3390/ijerph15102105 Text en © 2018 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Kuo, Ching-Tang
Chiu, Fen-Fen
Bao, Bo-Ying
Chang, Ta-Yuan
Determination and Prediction of Respirable Dust and Crystalline-Free Silica in the Taiwanese Foundry Industry
title Determination and Prediction of Respirable Dust and Crystalline-Free Silica in the Taiwanese Foundry Industry
title_full Determination and Prediction of Respirable Dust and Crystalline-Free Silica in the Taiwanese Foundry Industry
title_fullStr Determination and Prediction of Respirable Dust and Crystalline-Free Silica in the Taiwanese Foundry Industry
title_full_unstemmed Determination and Prediction of Respirable Dust and Crystalline-Free Silica in the Taiwanese Foundry Industry
title_short Determination and Prediction of Respirable Dust and Crystalline-Free Silica in the Taiwanese Foundry Industry
title_sort determination and prediction of respirable dust and crystalline-free silica in the taiwanese foundry industry
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6210212/
https://www.ncbi.nlm.nih.gov/pubmed/30257469
http://dx.doi.org/10.3390/ijerph15102105
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