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Updated: Feb 20, 2026

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Analysis of the Ambient Particulate Matter-induced Chromosomal Aberrations Using an In Vitro System
Published on: December 21, 2016
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Techniques for High-Quality Ambient Coarse Particle Mass Measurements
George A Allen1, Jung-A Annie Oh1, Petros Koutrakis1
1a Harvard School of Public Health , Boston , Massachusetts , USA.
Journal of the Air & Waste Management Association (1995)
|October 28, 2017
Summary
Improving coarse particle mass (CM) data quality is crucial for understanding health effects. New methods enhance CM measurement precision, leading to more reliable air quality assessments.
Area of Science:
- Environmental Health Sciences
- Air Quality Monitoring
- Analytical Chemistry
Background:
- Recent studies link ambient particle mass (PM) to public health issues.
- Concerns exist regarding the precision of coarse mass (CM, PM between 2.5 and 10 µm) data used in these studies.
- Existing CM measurement methods, including difference calculations and dichotomous samplers, have limitations affecting data quality.
Purpose of the Study:
- To address the poor precision of coarse mass (CM) data in air quality monitoring.
- To develop and validate improved measurement techniques for 24-hour CM.
- To enhance the reliability of PM data for epidemiological studies on health effects.
Main Methods:
- Modified the Harvard Impactor (HI) PM method to improve CM measurement precision.
- Focused on reducing field blank variability and increasing gravimetric analytical precision.
- Investigated applicability of these high-precision techniques to PM2.5 Federal Reference Method (FRM) samplers.
Main Results:
- Achieved estimated CM precision better than 5% coefficient of variation (CV).
- Attained R-squared values higher than 0.95 for CM measurements.
- Demonstrated that the improved methods are adaptable to other samplers like the PM2.5 FRM.
Conclusions:
- Developed high-precision PM measurement techniques applicable to CM assessment.
- These methods can mitigate potential exposure assessment problems caused by imprecise CM data.
- Enhanced CM data quality will support more accurate health effect studies.
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