Determination and Prediction of Respirable Dust and Crystalline-Free Silica in the Taiwanese Foundry Industry
| Autor: | Fen-Fen Chiu, Ta Yuan Chang, Ching-Tang Kuo, Bo-Ying Bao |
|---|---|
| Jazyk: | angličtina |
| Rok vydání: | 2018 |
| Předmět: |
exposure assessment
Health Toxicology and Mutagenesis Respirable Crystalline Silica Taiwan Air pollution lcsh:Medicine foundry industry Air Pollutants Occupational macromolecular substances 010501 environmental sciences crystalline silica medicine.disease_cause Risk Assessment 01 natural sciences Article Respirable dust predictive model 03 medical and health sciences 0302 clinical medicine Air pollutants Occupational Exposure Manufacturing Industry medicine Humans Sand blasting 030212 general & internal medicine 0105 earth and related environmental sciences Exposure assessment Inhalation Exposure Models Statistical lcsh:R Metallurgy Public Health Environmental and Occupational Health Dust respiratory system Silicon Dioxide eye diseases Environmental science sense organs Foundry Environmental Monitoring respirable dust |
| Zdroj: | International Journal of Environmental Research and Public Health Volume 15 Issue 10 International Journal of Environmental Research and Public Health, Vol 15, Iss 10, p 2105 (2018) |
| ISSN: | 1660-4601 |
| DOI: | 10.3390/ijerph15102105 |
| Popis: | 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. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
|