This site has been archived on 18/03/2015
18/03/2015
Logo Home   
    
NoMiracle Internet
Effects
 
Menu
Exposure
Effects
Risk Assessment and management
 
 
   
TitlePotential useFilterResponsible scientistsFilterRelated to deliverable
AttachmentEmbryotoxicity test with Danio rerio using ‘mixtures’ of chemical and natural stressors
A prolonged DarT to investigate effects of chemicals under varying abiotic stress.
Heinz-R. Köhler, University of Tübingen, heinz-r.koehler@uni-tuebingen.de
Volker Scheil, University of Tübingen, volker.scheil@uni-tuebingen.de
D. 3.2.27
AttachmentThree phases model describing metal uptake and elimination kinetics in organisms
Three phases model describing metal uptake and elimination kinetics in organisms
Prof. dr. R. Laskowski
Institute of Environmental Sciences, Jagiellonian University
Gronostajowa 7, 30-387 Kraków, Poland
e-mail: ryszard.laskowski@uj.edu.pl
phone: +48 12 664 5132 
 
D.3.3.7 and D.3.3.9
AttachmentMethods to study the interactions between effects of natural stressors and chemicals
The methods may be used as screening methods to identify chemicals that significantly interfere with soil organisms’ tolerance of heat, cold or desiccation. As such, the methods can be used in specific risk assessments of chemicals and provide a scientific basis for setting of safety factors that should account for specific natural stressors.
Martin Holmstrup, Aarhus University, email: martin.holmstrup@dmu.dk
D.3.2.14 and D.3.2.31
AttachmentReporter cell lines for screening pollution-related cellular stress and immune activation
Reporter cell lines for screening pollution-related cellular stress and immune activation
Albert Duschl, University of Salzburg, Department of Molecular Biology
albert.duschl@sbg.ac.at
Gertie Janneke Oostingh, University of Salzburg, Department of Molecular Biology
geja.oostingh@sbg.ac.at
D.3.1.2
AttachmentStress protein measurement in Danio rerio larvae
To investigate the proteotoxicity of chemical mixtures
Heinz-R. Köhler, University of Tübingen, heinz-r.koehler@uni-tuebingen.de
Volker Scheil, University of Tübingen, volker.scheil@uni-tuebingen.de
D.3.4.1, 3.4.5
AttachmentSystems ECO-Health Assessment by Use of “Omics”
An integration of hightroughput molecular (HT) data such as transcriptomics, proteomics and metabolomics, with higher order level biomakers to assess the health status of ecological relevant species from real water and soil samples
Professor Aldo Viarengo, University of Piemonte Orientale “Amdeo Avogadro”, Alessandria,  DISAV, viarengo@unipmn.it
WP 3.4
AttachmentMultispecies Freshwater Biomonitor™
New version for small animals in water and soil
1) Online effect monitoring below point pollution sources (in situ application)
2) Rapid ecotoxicity testing based on effects on behaviour, which can be linked to other traditional endpoints (in the laboratory, for substance testing)
Dr. Almut Gerhardt, LimCo International, almutg@web.de
WP3
AttachmentDEB model
DEB model for the interpretation of effects of mixtures
Jan Baas, Environ, jbaas@environcorp.com
Tjalling Jager, VU Theoretical Biology, Tjalling.jager@falw.vu.nl
Bas Kooijman, VU Theoretical Biology, Bas@bio.vu.nl
 
D.4.1.19 and 4.1.17
AttachmentMechanistic toxicology pipeline
An experimental pipeline for identifying the effects of chemical exposure on gene expression in earthworm (a widely used standard test group in chemical risk assessment)
Stephen Stürzenbaum, King's College London, Department of Biochemistry, Pharmaceutical Science Division, 150 Stamford Street, London SE1 9NH, UK: stephen.sturzenbaum@kcl.ac.uk
David Spurgeon, Centre for Ecology and Hydrology, Maclean Building, Benson Lane, Crowmarsh Gifford, Wallingford, Oxon, OX10 8BB: dasp@ceh.ac.uk)
D 3.4.9
AttachmentMIXTOX model for binary mixture analysis
The model is implemented into a user friendly Excel format and allows the user to analyse most binary mixture toxicity (or multiple stressor) data sets. The analysis will show if joint effects measured follow either concentration addition or independent action predictions or if significant deviation patterns are evident. These being in the form of either overall synergism or antagonism, or if the deviation has a ratio or dose level dependency.
Dr Claus Svendsen
Soil and Invertebrate Ecotoxicology
NERC - Centre for Ecology and Hydrology - Wallingford
Maclean Building,
Benson Lane,
Crowmarsh Gifford,
Wallingford, Oxfordshire, OX10 8BB
Tel +44 (0)1491 838800
Direct dial +44 (0)1491 692676
Fax +44 (0)1491 692424
E-mail: csv@ceh.ac.uk
Mobile phone: +44 (0)7789 920 919
WP 3.1
AttachmentMIXTOX PREDEV model for predicting worst case deviations in higher level mixtures from known deviations in the component binary mixtures.
This tool is still in development and testing, but so far results showed that the maximal ternary deviations from the reference model CA, could be captured by considering combinations of the deviations observed in the binary mixtures.
Dr Claus Svendsen
Soil and Invertebrate Ecotoxicology
NERC - Centre for Ecology and Hydrology - Wallingford
Maclean Building,
Benson Lane,
Crowmarsh Gifford,
Wallingford, Oxfordshire, OX10 8BB
Tel +44 (0)1491 838800
Direct dial +44 (0)1491 692676
Fax +44 (0)1491 692424
E-mail: csv@ceh.ac.uk
Mobile phone: +44 (0)7789 920 919
WP 3.1