Record Display for the EPA National Library Catalog


OLS Field Name OLS Field Data
Main Title Development of Analytical Standards for the Analysis of Organic Compounds Present in PM2.5.
Author Sheesley, R. J. ; Schauer, J. J. ; Smith, N. D. ; Hays, M. D. ;
CORP Author Wisconsin Univ.-Madison. Water Chemistry Program. ;Wisconsin State Lab. of Hygiene, Madison.;Environmental Protection Agency, Research Triangle Park, NC. National Risk Management Research Lab.
Publisher 2000
Year Published 2000
Report Number EPA/600/A-00/044;
Stock Number PB2001-100531
Additional Subjects Air pollution ; Organic compounds ; Analytical techniques ; Particulates ; Standardization ; Air pollution control ; Stationary sources ; Particle sizes ; Quality assurances ; Quality control ; Monitoring ; Exposure ; Toxicity ; Health hazards ; Man ; Laboratory tests ; Pollution sources ;
Library Call Number Additional Info Location Last
NTIS  PB2001-100531 Most EPA libraries have a fiche copy filed under the call number shown. Check with individual libraries about paper copy. 02/27/2001
Collation 16p
The paper discusses the development of analytical standards for the analysis The paper discusses the development of analytical standards for the analysis of organic compounds present in particulate matter with aerodynamic dia less than 2.5 micrometers (PM2.5). The standards are designed to be implemented in a broad range of laboratories in a manner that quality assurance and quality control (QA/QC) can be readily monitored and evaluated. Organic compounds present in PM2.5 is a possible factor contributing to the positive association between human exposure to PM2.5 and adverse health effects. Due to the increasing interest in such health effects studies, along with the interest in recently developed PM2.5 apportionment models that use organic compounds as tracers, there is an increasing demand for analytical laboratories to quantify such compounds present in atmospheric PM samples. Interlaboratory comparisons for the analysis of organic compounds are conducted to ensure quality data.