{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,12,24]],"date-time":"2025-12-24T12:17:32Z","timestamp":1766578652412,"version":"3.37.3"},"reference-count":19,"publisher":"Oxford University Press (OUP)","issue":"6","license":[{"start":{"date-parts":[[2021,5,15]],"date-time":"2021-05-15T00:00:00Z","timestamp":1621036800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/academic.oup.com\/journals\/pages\/open_access\/funder_policies\/chorus\/standard_publication_model"}],"funder":[{"name":"SysDEA project","award":["F2349"],"award-info":[{"award-number":["F2349"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2021,7,3]]},"abstract":"<jats:title>Abstract<\/jats:title>\n               <jats:p>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 &amp;gt; 0.77) were observed. In contrast, the correlations were either inconsistently poor (R = \u22120.17 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\u2591\u00b5g\/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.<\/jats:p>","DOI":"10.1093\/annweh\/wxaa118","type":"journal-article","created":{"date-parts":[[2020,11,4]],"date-time":"2020-11-04T12:10:33Z","timestamp":1604491833000},"page":"668-681","source":"Crossref","is-referenced-by-count":1,"title":["Prediction of Dermal Exposure to Chemical Substances Using a Fluorescence Method within the SysDEA Project"],"prefix":"10.1093","volume":"65","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-9382-3169","authenticated-orcid":false,"given":"Remy","family":"Franken","sequence":"first","affiliation":[{"name":"Department Risk Analysis for Products in Development (RAPID), TNO, Princetonlaan 6, 3584 CB Utrecht, the Netherlands"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jaap","family":"Turkenburg","sequence":"additional","affiliation":[{"name":"Department Risk Analysis for Products in Development (RAPID), TNO, Princetonlaan 6, 3584 CB Utrecht, the Netherlands"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-6631-0667","authenticated-orcid":false,"given":"Konstantinos M","family":"Kasiotis","sequence":"additional","affiliation":[{"name":"Laboratory of Pesticides\u2019 Toxicology, Benaki Phytopathological Institute, Athens, Greece"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-3328-8517","authenticated-orcid":false,"given":"Neeraj","family":"Shandilya","sequence":"additional","affiliation":[{"name":"Department Risk Analysis for Products in Development (RAPID), TNO, Princetonlaan 6, 3584 CB Utrecht, the Netherlands"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jan","family":"Baan","sequence":"additional","affiliation":[{"name":"Department Intelligent Imaging, TNO, Den Haag, the Netherlands"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Angelos N","family":"Tsakirakis","sequence":"additional","affiliation":[{"name":"Laboratory of Pesticides\u2019 Toxicology, Benaki Phytopathological Institute, Athens, Greece"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Ilianna","family":"Chartzala","sequence":"additional","affiliation":[{"name":"Laboratory of Pesticides\u2019 Toxicology, Benaki Phytopathological Institute, Athens, Greece"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Pelagia","family":"Anastasiadou","sequence":"additional","affiliation":[{"name":"Laboratory of Pesticides\u2019 Toxicology, Benaki Phytopathological Institute, Athens, Greece"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Kyriaki","family":"Machera","sequence":"additional","affiliation":[{"name":"Laboratory of Pesticides\u2019 Toxicology, Benaki Phytopathological Institute, Athens, Greece"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Dag","family":"Rother","sequence":"additional","affiliation":[{"name":"Federal Institute for Occupational Safety and Health, BAuA, Dortmund, Germany"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Michael","family":"Roitzsch","sequence":"additional","affiliation":[{"name":"Federal Institute for Occupational Safety and Health, BAuA, Dortmund, Germany"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Ulrich","family":"Poppek","sequence":"additional","affiliation":[{"name":"Federal Institute for Occupational Safety and Health, BAuA, Dortmund, 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