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Projects | Intelligent testing

ECO32: Environmental risk assessment of poorly soluble substances: Improved tools for assessing biodegradation, (de)sorption, and modeling

This project proposal will answer the following questions: Objective: How can the aqueous phase biodegradation kinetics of poorly water soluble substances be measured without the influence of bioavailability factors, i.e., without (de)sorption effects? Objective: How can the desorption rates of […]

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ECO31: Identifying strategies that will provide greater confidence in estimating the degradation rates of organic chemicals in water, soil and sediment

In the work described in this proposal, the project team aims to identify strategies that will provide greater confidence in estimating the degradation rates of organic chemicals in the environment. There are two main hypotheses that will be investigated: Multivariate […]

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ECO11-UNEW: Towards rationally designed hazard, risk and persistency assessment: Putting the “bio” back into biodegradability tests

The objectives of this project are as follows: Objective 1a.  Determine the extent and variation in microbial diversity of environmental sources used in biodegradation studies i.e. activated sludge, fresh-, estuarine- and marine-waters. Objective 1b.  Examine the relationship between microbial diversity, […]

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ECO22-IRAS: Advancing the use of passive sampling in risk assessment and management of contaminated sediments: an inter-laboratory comparison study on measurements of freely dissolved (bioavailable) concentrations using different passive sampling formats

The main objective of this study is to map the state of the art in passive sampling sediments and to investigate which measures we can take to reduce any inter-method and -laboratory variation, in order to increase confidence in the […]

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EEM9.3-IC: Linking LRI AMBIT Chemoinformatic system with the IUCLID Substance database to Support Read-across of Substance endpoint data and Category formation

A major hurdle in using chemoinformatic systems is the lack of easily accessible data on substance identity including structures and composition e.g. constituents, impurities and additives as well as high quality, detailed endpoint data of chemical substances. This project is […]

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