Skip to main content
padlock icon - secure page this page is secure

In silico models to predict dermal absorption from complex agrochemical formulations

Buy Article:

$61.00 + tax (Refund Policy)

Dermal absorption is a critical part in the risk assessment of complex mixtures such as agrochemical formulations. To reduce the number of in vivo or in vitro absorption experiments, the present study aimed to develop an in silico prediction model that considers mixture-related effects. Therefore, an experimental ‘real-world’ dataset derived from regulatory in vitro studies with human and rat skin was processed. Overall, 56 test substances applied in more than 150 mixtures were used. Descriptors for the substances as well as the mixtures were generated and used for multiple linear regression analysis. Considering the heterogeneity of the underlying data set, the final model provides a good fit (r² = 0.75) and is able to estimate the influence of a newly composed formulation on dermal absorption of a well-known substance (predictivity Q²Ext = 0.73). Application of this model would reduce animal and non-animal testings when used for the optimization of formulations in early developmental stages, or would simplify the registration process, if accepted for read-across.
No Reference information available - sign in for access.
No Citation information available - sign in for access.
No Supplementary Data.
No Article Media
No Metrics

Keywords: agrochemicals; dermal absorption; mixture; quantitative structure permeability relationship (QSPR); risk assessment

Document Type: Research Article

Affiliations: 1: Experimental Toxicology and Ecology, BASF SE, Ludwigshafen, Germany 2: Center for Chemical Toxicology Research and Pharmacokinetics, North Carolina State University, Raleigh, NC, USA 3: Institute of Pharmacy, Freie Universität Berlin, Berlin, Germany

Publication date: July 3, 2014

  • Access Key
  • Free content
  • Partial Free content
  • New content
  • Open access content
  • Partial Open access content
  • Subscribed content
  • Partial Subscribed content
  • Free trial content
Cookie Policy
X
Cookie Policy
Ingenta Connect website makes use of cookies so as to keep track of data that you have filled in. I am Happy with this Find out more