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PARENT SESSION
2L - Immunotoxicity - genotoxicity - ED Poster Hall 8:30 AM - Wednesday, 30 April 2003 Chair: Hansen, P.D.1, 1
(WEP/114) Automation and evaluation software for a bioassay-battery for fast quality assessment of soils.
Weber, Gerhard1, Reinke, Martin1, Hüttner, Steffen1, 1 Hölle & Hüttner AG, Tübingen, Germany
ABSTRACT- In the past decade standardized bioassays have been established for the detection of ecotoxic and genotoxic potential of contaminated soils. In order to decrease requirements of time and effort, to improve procedural standardization and thus increase precision and accuracy of results, an automation and evaluation software for an on-site bioassay-battery has been developed. The automation software integrates processes, analysis and documentation of the umu-genotxoicity test (DIN 38415 T3, 1996; ISO 13829, 2000), and the Vibrio fischeri luminescence inhibition test (DIN-EN-ISO 11348 T2, 1999) for determination of water extractable toxic potential as well as respirometric tests of soil and soil material. The software operates on a data base documenting all relevant data on sites, samples, and tests according to GLP. It fully integrates on-site workflow including sample identification and preparation, data logging and analysis, physical measurements, and all three bioassays. Operating on a second data base, the evaluation software supports evaluation of the bioassay results by integrating existing pedological and geochemical data of the samples to be judged as well as reference data of completed assessments of similar samples. The evaluation database has a flexible data model allowing storage and processing of any data considered relevant by the individual user, and owns import/export interfaces for data exchange. By enabling structured storage and exchange of ecotoxicological, pedological, and geochemical data the evaluation software provides a tool for building large data sets not only for the support of evaluations of bioassay results but also for extracting large data sets as inputs for multivariate meta-analyses by statistical software packages.
Key words: genotxicity, ecotoxicity, bioassay automation, software
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