Prediction of Dermal Exposure to Chemical Substances Using a Fluorescence Method within the SysDEA Project.

dermal exposure assessment experiments fluorescence workplace exposure

Journal

Annals of work exposures and health
ISSN: 2398-7316
Titre abrégé: Ann Work Expo Health
Pays: England
ID NLM: 101698454

Informations de publication

Date de publication:
03 07 2021
Historique:
received: 29 04 2020
revised: 22 09 2020
accepted: 04 11 2020
pubmed: 16 5 2021
medline: 14 8 2021
entrez: 15 5 2021
Statut: ppublish

Résumé

Dermal exposure is an important exposure route for occupational exposure and risk assessment. A fluorescence method has been developed to quantify occupational dermal exposure based on a visualization technique, using Tinopal SWN as a fluorescent tracer. The method was developed within the framework of a large experimental study, the SysDEA project. In SysDEA, dermal exposure was measured with different methods for 10 simulated exposure situations by sampling powder and liquid formulations containing Tinopal SWN on coveralls and patches and subsequently chemically analysing them. For the fluorescence method, photographs of exposed volunteers who performed the experiments were taken inside a room which consisted of an optimized arrangement of several UV irradiating tube light brackets, reflective and non-reflective backgrounds for maximum light diffusion and a camera. Image processing analysis software processed these photographs to obtain corresponding light intensity in terms of summed pixel values. To be able to estimate the amount of Tinopal SWN, 25% of the measured data from the SysDEA experiments were used to calibrate by correlating the summed pixel values from the photographs to actual measured exposure values using a second order regression model. For spraying both high and low viscosity liquids, showing uniformly distributed exposure patterns, strong Pearson correlation coefficients (R > 0.77) were observed. In contrast, the correlations were either inconsistently poor (R = -0.17 to 0.28 for pouring, rolling high viscosity liquid, manually handling objects immersed in low viscosity liquid and handling objects contaminated with powder), moderate (R = 0.73 for dumping of powder), or strong (R = 0.83 and 0.77 for rolling low viscosity liquid and manually handling objects immersed in high viscosity liquid). A model for spraying was developed and calibrated using 25% of the available experimental data for spraying and validated using the remaining 75%. Under given experimental conditions, the fluorescence method shows promising results and can be used for the quantification of dermal exposure for different body parts (excluding hands) for spraying-like scenarios that have a more uniform exposure pattern, but more research is needed for exposure scenarios with less uniform exposure patterns. For the estimation of exposure levels, the surface loading limit should be lower than 1.5░µg/cm2 (a lower limit could not be quantified based on experiments conducted in this study) on a large surface, like a coverall, which should be ideally perpendicular to the camera.

Identifiants

pubmed: 33991095
pii: 6276210
doi: 10.1093/annweh/wxaa118
doi:

Types de publication

Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

668-681

Informations de copyright

© The Author(s) 2021. Published by Oxford University Press on behalf of the British Occupational Hygiene Society.

Auteurs

Remy Franken (R)

Department Risk Analysis for Products in Development (RAPID), TNO, Princetonlaan 6, 3584 CB Utrecht, the Netherlands.

Jaap Turkenburg (J)

Department Risk Analysis for Products in Development (RAPID), TNO, Princetonlaan 6, 3584 CB Utrecht, the Netherlands.

Konstantinos M Kasiotis (KM)

Laboratory of Pesticides' Toxicology, Benaki Phytopathological Institute, Athens, Greece.

Neeraj Shandilya (N)

Department Risk Analysis for Products in Development (RAPID), TNO, Princetonlaan 6, 3584 CB Utrecht, the Netherlands.

Jan Baan (J)

Department Intelligent Imaging, TNO, Den Haag, the Netherlands.

Angelos N Tsakirakis (AN)

Laboratory of Pesticides' Toxicology, Benaki Phytopathological Institute, Athens, Greece.

Ilianna Chartzala (I)

Laboratory of Pesticides' Toxicology, Benaki Phytopathological Institute, Athens, Greece.

Pelagia Anastasiadou (P)

Laboratory of Pesticides' Toxicology, Benaki Phytopathological Institute, Athens, Greece.

Kyriaki Machera (K)

Laboratory of Pesticides' Toxicology, Benaki Phytopathological Institute, Athens, Greece.

Dag Rother (D)

Federal Institute for Occupational Safety and Health, BAuA, Dortmund, Germany.

Michael Roitzsch (M)

Federal Institute for Occupational Safety and Health, BAuA, Dortmund, Germany.

Ulrich Poppek (U)

Federal Institute for Occupational Safety and Health, BAuA, Dortmund, Germany.

Jessica Meyer (J)

Federal Institute for Occupational Safety and Health, BAuA, Dortmund, Germany.

Urs Schlüter (U)

Federal Institute for Occupational Safety and Health, BAuA, Dortmund, Germany.

Rianda M Gerritsen-Ebben (RM)

Department Risk Analysis for Products in Development (RAPID), TNO, Princetonlaan 6, 3584 CB Utrecht, the Netherlands.

Suzanne Spaan (S)

Department Risk Analysis for Products in Development (RAPID), TNO, Princetonlaan 6, 3584 CB Utrecht, the Netherlands.

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