Literature DB >> 26721263

A Web-based Tool to Aid the Identification of Chemicals Potentially Posing a Health Risk through Percutaneous Exposure.

Melanie Gorman Ng1, Antoine Milon2, David Vernez2, Jérôme Lavoué3.   

Abstract

Occupational hygiene practitioners typically assess the risk posed by occupational exposure by comparing exposure measurements to regulatory occupational exposure limits (OELs). In most jurisdictions, OELs are only available for exposure by the inhalation pathway. Skin notations are used to indicate substances for which dermal exposure may lead to health effects. However, these notations are either present or absent and provide no indication of acceptable levels of exposure. Furthermore, the methodology and framework for assigning skin notation differ widely across jurisdictions resulting in inconsistencies in the substances that carry notations. The UPERCUT tool was developed in response to these limitations. It helps occupational health stakeholders to assess the hazard associated with dermal exposure to chemicals. UPERCUT integrates dermal quantitative structure-activity relationships (QSARs) and toxicological data to provide users with a skin hazard index called the dermal hazard ratio (DHR) for the substance and scenario of interest. The DHR is the ratio between the estimated 'received' dose and the 'acceptable' dose. The 'received' dose is estimated using physico-chemical data and information on the exposure scenario provided by the user (body parts exposure and exposure duration), and the 'acceptable' dose is estimated using inhalation OELs and toxicological data. The uncertainty surrounding the DHR is estimated with Monte Carlo simulation. Additional information on the selected substances includes intrinsic skin permeation potential of the substance and the existence of skin notations. UPERCUT is the only available tool that estimates the absorbed dose and compares this to an acceptable dose. In the absence of dermal OELs it provides a systematic and simple approach for screening dermal exposure scenarios for 1686 substances.
© The Author 2015. Published by Oxford University Press on behalf of the British Occupational Hygiene Society.

Entities:  

Keywords:  dermal absorption; dermal exposure; dermal exposure modelling; exposure estimation; hazard assessment

Mesh:

Substances:

Year:  2015        PMID: 26721263      PMCID: PMC4886196          DOI: 10.1093/annhyg/mev091

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


  24 in total

1.  Regression method to estimate provisional TLV/WEEL-equivalents for non-carcinogens.

Authors:  D A Whaley; M D Attfield; E J Bedillion; K M Walter; Q Yi
Journal:  Ann Occup Hyg       Date:  2000-08

Review 2.  RISKOFDERM: risk assessment of occupational dermal exposure to chemicals. An introduction to a series of papers on the development of a toolkit.

Authors:  Joop J van Hemmen; Jürgen Auffarth; Paul G Evans; Bob Rajan-Sithamparanadarajah; Hans Marquart; Reinhard Oppl
Journal:  Ann Occup Hyg       Date:  2003-11

3.  DREAM: a method for semi-quantitative dermal exposure assessment.

Authors:  Berna Van-Wendel-de-Joode; Derk H Brouwer; Roel Vermeulen; Joop J Van Hemmen; Dick Heederik; Hans Kromhout
Journal:  Ann Occup Hyg       Date:  2003-01

Review 4.  Quantitative structure-activity relationships for predicting percutaneous absorption rates.

Authors:  John D Walker; Rosemary Rodford; Grace Patlewicz
Journal:  Environ Toxicol Chem       Date:  2003-08       Impact factor: 3.742

5.  Simple rules defining the potential of compounds for transdermal delivery or toxicity.

Authors:  Beatrice M Magnusson; W John Pugh; Michael S Roberts
Journal:  Pharm Res       Date:  2004-06       Impact factor: 4.200

Review 6.  Dermal exposure to chemicals in the workplace: just how important is skin absorption?

Authors:  S Semple
Journal:  Occup Environ Med       Date:  2004-04       Impact factor: 4.402

7.  Kinetics of finite dose absorption through skin 2: volatile compounds.

Authors:  Gerald B Kasting; Matthew A Miller
Journal:  J Pharm Sci       Date:  2006-02       Impact factor: 3.534

8.  Efficacy of predictive modeling as a scientific criterion in dermal hazard identification for assignment of skin notations.

Authors:  Chen-Peng Chen; Heinz W Ahlers; G Scott Dotson; Yi-Chun Lin; Wei-Chen Chang; Andrew Maier; Bernard Gadagbui
Journal:  Regul Toxicol Pharmacol       Date:  2011-06-25       Impact factor: 3.271

9.  Estimating skin permeation. The validation of five mathematical skin permeation models.

Authors:  A Wilschut; W F ten Berge; P J Robinson; T E McKone
Journal:  Chemosphere       Date:  1995-04       Impact factor: 7.086

10.  How to improve skin notation. Position paper from a workshop.

Authors:  Pietro Sartorelli; Heinz W Ahlers; Kristiina Alanko; Chen Chen-Peng; John W Cherrie; Hans Drexler; Sanja Kezic; Gunnar Johanson; Francesca Larese Filon; Giovanni Maina; Loretta Montomoli; Jesper Bo Nielsen
Journal:  Regul Toxicol Pharmacol       Date:  2007-08-30       Impact factor: 3.271

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