Literature DB >> 23002273

Evaluation of recommended REACH exposure modeling tools and near-field, far-field model in assessing occupational exposure to toluene from spray paint.

Elizabeth Hofstetter1, John W Spencer, Kathleen Hiteshew, Michelle Coutu, Mark Nealley.   

Abstract

Predictive modeling is an available tool to assess worker exposures to a variety of chemicals in different industries and product-use scenarios. The European Chemical Agency (ECHA)'s guidelines for manufacturers to fulfill the European Union's legal requirements pursuant to the Registration, Evaluation, Authorization, and Restriction of Chemicals (REACH) initiative include recommendations for the use of modeling to predict worker exposures. ECHA recommends different models for different target populations (i.e. workers, consumers, environment) and routes of exposure (i.e. skin absorption, ingestion, inhalation), and presents them hierarchically, with Tier 1 models presented as the most simplistic, conservative models and Tier 2 models recommended for further intensive evaluation of substances or preparations. In order to assess these models for one exposure (product-use) scenario, a simulation of the scenario was completed in a controlled environment and the measured results were compared with the modeling outputs. The authors predicted, based on the design of the modeling tools, that all models would overestimate worker exposures under the simulated product-use scenario, with the lower-tiered model producing the most conservative estimate of exposure. In this study, a Tier 1 model and a Tier 2 model were evaluated for comparison with the near-field, far-field (NF-FF) deterministic model and measured experimental results in a real-time worker inhalation exposure assessment. Modeling was conducted prior to actual air monitoring. The exposure scenario that was evaluated involved the application of a toluene-containing spray paint to a work surface. Air samples were collected to evaluate short-term (15-min) and long-term (240-min) exposures. Eight-hour time-weighted averages (8-h TWAs) were calculated and compared with the modeling outputs from the recommended REACH modeling tools and the NF-FF model. A comparison of each of the modeling tools with measured experimental results was generated. The Tier 1 Targeted Risk Assessment tool overestimated the 8-h TWA airborne concentration of toluene in the spray scenario by a factor of 3.61. The higher tiered Advanced REACH Tool and NF-FF models showed greater concordance with experimental results, overestimating the TWA exposure by a factor of 2.92 and 1.96, respectively. In conclusion, the Tier 1 and 2 exposure modeling tools performed as expected for the simulated exposure scenario, providing relatively accurate, though conservative, estimates according to the level of detail and precision accounted for in each model.

Entities:  

Mesh:

Substances:

Year:  2012        PMID: 23002273     DOI: 10.1093/annhyg/mes062

Source DB:  PubMed          Journal:  Ann Occup Hyg        ISSN: 0003-4878


  14 in total

1.  Evaluation of Exposure Assessment Tools under REACH: Part II-Higher Tier Tools.

Authors:  Eun Gyung Lee; Judith Lamb; Nenad Savic; Ioannis Basinas; Bojan Gasic; Christian Jung; Michael L Kashon; Jongwoon Kim; Martin Tischer; Martie van Tongeren; David Vernez; Martin Harper
Journal:  Ann Work Expo Health       Date:  2019-02-16       Impact factor: 2.179

2.  Evaluation of Exposure Assessment Tools under REACH: Part I-Tier 1 Tools.

Authors:  Eun Gyung Lee; Judith Lamb; Nenad Savic; Ioannis Basinas; Bojan Gasic; Christian Jung; Michael L Kashon; Jongwoon Kim; Martin Tischer; Martie van Tongeren; David Vernez; Martin Harper
Journal:  Ann Work Expo Health       Date:  2019-02-16       Impact factor: 2.179

3.  From the Cover: An Animal-Free In Vitro Three-Dimensional Testicular Cell Coculture Model for Evaluating Male Reproductive Toxicants.

Authors:  Lei Yin; Hongye Wei; Shenxuan Liang; Xiaozhong Yu
Journal:  Toxicol Sci       Date:  2017-10-01       Impact factor: 4.849

4.  Qualitative and quantitative differences between common control banding tools for nanomaterials in workplaces.

Authors:  Xiangjing Gao; Hua Zou; Zanrong Zhou; Weiming Yuan; Changjian Quan; Meibian Zhang; Shichuan Tang
Journal:  RSC Adv       Date:  2019-10-25       Impact factor: 4.036

Review 5.  Validity of Tier 1 Modelling Tools and Impacts on Exposure Assessments within REACH Registrations-ETEAM Project, Validation Studies and Consequences.

Authors:  Urs Schlueter; Martin Tischer
Journal:  Int J Environ Res Public Health       Date:  2020-06-26       Impact factor: 3.390

6.  Comparison between Communicated and Calculated Exposure Estimates Obtained through Three Modeling Tools.

Authors:  Andrea Spinazzè; Francesca Borghi; Daniele Magni; Costanza Rovida; Monica Locatelli; Andrea Cattaneo; Domenico Maria Cavallo
Journal:  Int J Environ Res Public Health       Date:  2020-06-11       Impact factor: 3.390

Review 7.  Extension of the Advanced REACH Tool (ART) to Include Welding Fume Exposure.

Authors:  Aduldatch Sailabaht; Fan Wang; John Cherrie
Journal:  Int J Environ Res Public Health       Date:  2018-10-09       Impact factor: 3.390

8.  Chemical Risk Assessment Screening Tool of a Global Chemical Company.

Authors:  Evelyn Tjoe-Nij; Christophe Rochin; Nathalie Berne; Alessandro Sassi; Antoine Leplay
Journal:  Saf Health Work       Date:  2017-07-14

9.  How to Obtain a Reliable Estimate of Occupational Exposure? Review and Discussion of Models' Reliability.

Authors:  Andrea Spinazzè; Francesca Borghi; Davide Campagnolo; Sabrina Rovelli; Marta Keller; Giacomo Fanti; Andrea Cattaneo; Domenico Maria Cavallo
Journal:  Int J Environ Res Public Health       Date:  2019-08-02       Impact factor: 3.390

Review 10.  The ECETOC-Targeted Risk Assessment Tool for Worker Exposure Estimation in REACH Registration Dossiers of Chemical Substances-Current Developments.

Authors:  Jan Urbanus; Oliver Henschel; Qiang Li; Dave Marsh; Chris Money; Dook Noij; Paul van de Sandt; Joost van Rooij; Matthias Wormuth
Journal:  Int J Environ Res Public Health       Date:  2020-11-14       Impact factor: 3.390

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.