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A probabilistic approach to quantitatively assess the inhalation risk for airborne endotoxin in cotton textile workers
- Source :
- Journal of Hazardous Materials. 177:103-108
- Publication Year :
- 2010
- Publisher :
- Elsevier BV, 2010.
-
Abstract
- Endotoxin, a component of gram-negative bacterial cell walls, is a proinflammatory agent that induces local and systemic inflammatory responses in normal subjects which can contribute to the risk of developing asthma and chronic obstructive lung diseases. A probabilistic approach linking models of exposure, internal dosimetry, and health effects were carried out to quantitatively assess the potential inhalation risk of airborne endotoxin for workers in cotton textile plants. Combining empirical data and modeling results, we show that the half-maximum effects of the endotoxin dose (ED50) were estimated to be 3.3 x 10(5) (95% confidence interval (CI): 1.9-14.7 x 10(5)) endotoxin units (EU) for the blood C-reactive protein (CRP) concentration, 1.1 x 10(5) (95% CI: 0.6-1.7 x 10(5))EU for the blood polymorphonuclear neutrophil (PMN) count, and 1.5 x 10(5) (95% CI: 0.4-2.5 x 10(5))EU for the sputum PMN count. Our study offers a risk-management framework for discussing future establishment of limits for respiratory exposure to airborne endotoxin for workers in cotton textile plants.
- Subjects :
- Environmental Engineering
Neutrophils
Health, Toxicology and Mutagenesis
Cell Count
Risk Assessment
Occupational Exposure
Humans
Environmental Chemistry
Medicine
Cotton Fiber
Respiratory system
Waste Management and Disposal
Probability
Asthma
Air Pollutants
Inhalation Exposure
Inhalation
biology
business.industry
Respiratory disease
C-reactive protein
Environmental engineering
medicine.disease
Pollution
Confidence interval
Endotoxins
C-Reactive Protein
Textile Industry
Immunology
biology.protein
Sputum
medicine.symptom
business
Risk assessment
Subjects
Details
- ISSN :
- 03043894
- Volume :
- 177
- Database :
- OpenAIRE
- Journal :
- Journal of Hazardous Materials
- Accession number :
- edsair.doi.dedup.....2314701cb2dd08464b574a0d0925cb4a