Record Display for the EPA National Library Catalog


OLS Field Name OLS Field Data
Main Title Inhalation Reference Dose (RfDi): An Application of Interspecies Dosimetry Modeling for Risk Assessment of Insoluble Particles.
Author Jarabek, A. M. ; Menache, M. G. ; Overton, H. ; Dourson, M. L. ; Miller., F. J. ;
CORP Author Health Effects Research Lab., Research Triangle Park, NC. ;NSI Technology Services Corp., Research Triangle Park, NC.
Publisher c1989
Year Published 1989
Report Number EPA/600/J-89/408;
Stock Number PB90-245879
Additional Subjects Dosimetry ; Toxicity ; Particles ; Inhalation ; Respiration ; Laboratory animals ; Humans ; Neoplasms ; Reprints ; Risk assessment ; Tissue distribution ; Dose-response relationships ; Feasibility studies
Library Call Number Additional Info Location Last
NTIS  PB90-245879 Most EPA libraries have a fiche copy filed under the call number shown. Check with individual libraries about paper copy. 12/03/1990
Collation 9p
Accurate extrapolation of animal toxicity data for human health risk assessment requires determination of the effective dose to the target tissue and the sensitivity of the target tissue to that dose. The methodology for deriving reference doses (the U.S. Environmental Protection Agency's (EPA) benchmark values for gauging systemic toxicity) for oral exposures has not included dosimetry modeling. Dosimetry data facilitate evaluation of concentration-response data with respect to the dose-response relationships used in quantitative risk assessment. Extension of the methodology to derivation of inhalation reference doses (RfDi) should account for the dynamics of the respiratory system as the portal of entry. The paper presents a method for calculating a dosimetric adjustment factor based on the values for the initial deposited dose of insoluble particles in an animal species and in humans. The application for insoluble particles illustrates the feasibility of interspecies dosimetry calculations for extrapolating the toxicological results of inhaled agents to human exposure conditions for more accurate risk estimation. (Copyright (c) 1989 Health Physics Society.)