The Potential to Use QSAR to Populate Ecotoxicity Characterisation Factors for Simplified LCIA and Chemical Prioritisation

International Journal of Life Cycle Assessment - Germany
doi 10.1007/s11367-018-1452-x
Full Text
Abstract

Available in full text

Date
Authors
Publisher

Springer Science and Business Media LLC

Related search

Development of an Ecotoxicity QSAR Model for the KAshinhou Tool for Ecotoxicity (KATE) System, March 2009 Version

SAR and QSAR in Environmental Research
MedicineBioengineeringDrug DiscoveryMolecular Medicine
2010English

Nanoparticle Ecotoxicity-Physical and/or Chemical Effects?

Integrated Environmental Assessment and Management
DevelopmentMedicinePlanningEnvironmental ScienceGeography
2015English

A Guide to Materials Characterisation and Chemical Analysisby J. Sibilia

Journal of Applied Crystallography
BiochemistryGeneticsMolecular Biology
1991English

Three Approaches to Define the Ecotoxicity Threshold for Atmospheric Ammonia

Canadian Journal of Soil Science
Soil Science
2002English

Alternative Approach to Populate and Study the Th229 Nuclear Clock Isomer

Physical Review C
High Energy PhysicsNuclear
2019English

Use and Perceived Benefits and Barriers of QSAR Models for REACH: Findings From a Questionnaire to Stakeholders

Chemistry Central Journal
Chemistry
2012English

A Simple Prioritisation System to Improve the Electronic Handover

BMJ Quality Improvement Reports
2015English

Characterisation of the Potential Function of SVA Retrotransposons to Modulate Gene Expression Patterns

BMC Evolutionary Biology
EvolutionEcologySystematicsBehavior
2013English

Experiments to Populate and Validate a Processing Model for Polyurethane Foam: Additional Data for Structural Foams

2015English

Amanote Research

Note-taking for researchers

Follow Amanote

© 2024 Amaplex Software S.P.R.L. All rights reserved.

Privacy PolicyRefund Policy