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Determination and Prediction of Respirable Dust and Crystalline-Free Silica in the Taiwanese Foundry Industry.
Int J Environ Res Public Health. 2018 09 25; 15(10)IJ

Abstract

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/m³ and 0.027 ± 15 mg/m³ 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/m³ and 0.099 mg/m³ for respirable dust and RCS, respectively. The predictive exposure model for respirable dust fitted the data well (R² = 0.75; adjusted R² = 0.64), and the predictive capacity for RCS was higher (R² = 0.89; adjusted R² = 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.

Authors+Show Affiliations

Department of Public Health, College of Public Health, China Medical University, No. 91, Hsueh-Shih Road, Taichung 40402, Taiwan. ctkuo228@gmail.com.Department of Occupational Safety and Health, College of Public Health, China Medical University, No. 91, Hsueh-Shih Road, Taichung 40402, Taiwan. jessica.cy@msa.hinet.net.Department of Pharmacy, College of Pharmacy, China Medical University, No. 91, Hsueh-Shih Road, Taichung 40402, Taiwan. bao@mail.cmu.edu.tw. Department of Nursing, Asia University, No. 500, Lioufeng Road, Wufeng, Taichung 41354, Taiwan. bao@mail.cmu.edu.tw.Department of Occupational Safety and Health, College of Public Health, China Medical University, No. 91, Hsueh-Shih Road, Taichung 40402, Taiwan. tychang@mail.cmu.edu.tw.

Pub Type(s)

Journal Article

Language

eng

PubMed ID

30257469

Citation

Kuo, Ching-Tang, et al. "Determination and Prediction of Respirable Dust and Crystalline-Free Silica in the Taiwanese Foundry Industry." International Journal of Environmental Research and Public Health, vol. 15, no. 10, 2018.
Kuo CT, Chiu FF, Bao BY, et al. Determination and Prediction of Respirable Dust and Crystalline-Free Silica in the Taiwanese Foundry Industry. Int J Environ Res Public Health. 2018;15(10).
Kuo, C. T., Chiu, F. F., Bao, B. Y., & Chang, T. Y. (2018). Determination and Prediction of Respirable Dust and Crystalline-Free Silica in the Taiwanese Foundry Industry. International Journal of Environmental Research and Public Health, 15(10). https://doi.org/10.3390/ijerph15102105
Kuo CT, et al. Determination and Prediction of Respirable Dust and Crystalline-Free Silica in the Taiwanese Foundry Industry. Int J Environ Res Public Health. 2018 09 25;15(10) PubMed PMID: 30257469.
* Article titles in AMA citation format should be in sentence-case
TY - JOUR T1 - Determination and Prediction of Respirable Dust and Crystalline-Free Silica in the Taiwanese Foundry Industry. AU - Kuo,Ching-Tang, AU - Chiu,Fen-Fen, AU - Bao,Bo-Ying, AU - Chang,Ta-Yuan, Y1 - 2018/09/25/ PY - 2018/08/12/received PY - 2018/09/14/revised PY - 2018/09/22/accepted PY - 2018/9/28/entrez PY - 2018/9/28/pubmed PY - 2019/2/16/medline KW - crystalline silica KW - exposure assessment KW - foundry industry KW - predictive model KW - respirable dust JF - International journal of environmental research and public health JO - Int J Environ Res Public Health VL - 15 IS - 10 N2 - 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/m³ and 0.027 ± 15 mg/m³ 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/m³ and 0.099 mg/m³ for respirable dust and RCS, respectively. The predictive exposure model for respirable dust fitted the data well (R² = 0.75; adjusted R² = 0.64), and the predictive capacity for RCS was higher (R² = 0.89; adjusted R² = 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. SN - 1660-4601 UR - https://www.unboundmedicine.com/medline/citation/30257469/Determination_and_Prediction_of_Respirable_Dust_and_Crystalline_Free_Silica_in_the_Taiwanese_Foundry_Industry_ L2 - https://www.mdpi.com/resolver?pii=ijerph15102105 DB - PRIME DP - Unbound Medicine ER -