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1.
Appl Occup Environ Hyg ; 16(2): 218-27, 2001 Feb.
Article in English | MEDLINE | ID: mdl-11217714

ABSTRACT

Dermal exposure assessment and modeling is still in early phases of development. This article presents the results of a workshop organized to harmonize the future needs in this field. Methods for dermal exposure assessment either assess the mass of contaminant that is transferred to the skin, or the transfer of contaminant through the skin. Models for dermal exposure are either knowledge-based or deterministic. Any method or model should be transparent, validated, and open to further development. Some (partly) validated and standardized methods are available for measuring or modeling permeation of the skin or of personal protective equipment (PPE). Further validation and standardization is necessary. More research is needed on permeation of dusts and aerosols and more realistic tests should be developed and used for PPE. Several methods have been developed to measure contamination of surfaces or skin, but they are not validated or standardized. A number of non-validated models exist to assess dermal exposure. A clear need exists for more studies of dermal exposure, regarding measurement methods, models and actual exposure levels. A running four-year European study will greatly expand the knowledge in this field. Simple tools to assess and control the risks of dermal exposure in small and medium sized enterprises are also needed. Increasing the general knowledge of practitioners (e.g., safety professionals, occupational hygienists and physicians) in the field of dermal exposure is a first requirement. Available data, for example, on the permeation of PPE, should be made more readily available, using modern information technology. When information on dermal exposure is gathered and stored, the core information needs are partly the same as those for inhalation exposure. Some elements of process and activity, substance and product or worker, specific for dermal exposure, have been suggested by the workshop.


Subject(s)
International Cooperation , Models, Theoretical , Occupational Exposure/statistics & numerical data , Skin Absorption , Skin , Europe , Humans , Occupational Exposure/analysis , Reference Standards , Risk Assessment/statistics & numerical data , United States
2.
Am Ind Hyg Assoc J ; 57(6): 526-36, 1996 Jun.
Article in English | MEDLINE | ID: mdl-8651073

ABSTRACT

The U.S. Environmental Protection Agency (EPA) is responsible for assessing the potential for unacceptable human health and environmental risks of new chemical substances prior to commercialization. Estimates of potential inhalation exposure to workers during manufacture, processing, and use of a new chemical substance are key elements of these assessments. However, the available information with which to assess the potential for exposure is often limited for new chemicals. One approach used by EPA to develop screening level estimates of inhalation exposure to vapors in the absence of data is the use of a mass balance model to predict the airborne concentration for various activities such as drumming and sampling. The mass balance model was evaluated by comparing the exposure estimates for specific operations with monitoring data reported in selected studies from the available literature. In general the estimated exposures based on the midpoint of the range of default input values were well within one order of magnitude of the measured exposures. Selection of more conservative (i.e., protective) model input values overestimated exposures by one or more orders of magnitude. There are many simplifying assumptions inherent in the model and many variables that influence exposure that are not considered. Uncertainty analyses of the model demonstrated that values selected for the ventilation flow rate and generation rate greatly influence the estimate of exposure and should be carefully chosen. Additional research is recommended, and ultimately, model validation should be completed to further improve and refine the model.


Subject(s)
Air Pollutants/analysis , Environmental Exposure/analysis , Models, Biological , Humans , Inhalation , Monte Carlo Method , Sensitivity and Specificity , United States , United States Environmental Protection Agency
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