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Título
Bioassays in workers exposed to long time random intakes
Autor(es)
Palabras clave
Internal dosimetry
Biokinetic models
Bioassay evaluation
ICRP
Simulation
Uncertainties
Clasificación UNESCO
22 Física
Fecha de publicación
2022
Editor
Elsevier
Citación
Sánchez-León, G., López, M. A., Moraleda, M., & Rodríguez-Díaz, J. M. (2022). Bioassays in workers exposed to long time random intakes. Applied Radiation and Isotopes, 180, 110057. https://doi.org/10.1016/j.apradiso.2021.110057
Resumen
[EN] Workers who are occupationally exposed to radioactive aerosols are usually subjected to periodic controls of
internal contamination by performing bioassays (whole body or partial body monitoring and measurement of
excreta samples). The intakes are also estimated by using Static Air Samples (SAS). These measurements are used
to estimate the radioactive intakes of the workers. A typical assumption is the workers are chronically (constant)
exposed for long periods of time. However, the intakes are random and there are also periods without any
exposure (weekends, holidays, etc.). The method presented here considers both facts. Simulations help to choose
the most appropriate method of evaluation to minimize the statistical uncertainties in the intake. It has been
applied to evaluate workers exposed to UO2 aerosols for a long time (30 years or more for most of them) in the
same working area (sintering). Results of measurements of uranium in urine and daily intakes (from SAS) of these
workers have been used. For this evaluation, the new Occupational Intakes of Radionuclides (OIR) biokinetic
models of the International Commission on Radiological Protection (ICRP) for uranium have been solved. For
some workers the evaluation gives a significative deviation between the intake estimated from urine samples and
the intake estimated using the SAS values, supporting the idea that the physiological standard parameters of the
reference worker are not always applicable. The computations have been implemented in the BIOKMOD code.
URI
ISSN
0969-8043
DOI
10.1016/j.apradiso.2021.110057
Versión del editor
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- DOE. Artículos [2]
Patrocinador
Publicación en abierto financiada por la Universidad de Salamanca como participante en el Acuerdo Transformativo CRUE-CSIC con Elsevier, 2021-2024













