SCHEME SIGNED
Sewage chemical information mining – development of a novel concept for the assessment of human exposure to pollutants through wastewater analysis
Total Cost €
0EC-Contrib. €
0Partnership
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0SCHEME project word cloud
Explore the words cloud of the SCHEME project. It provides you a very rough idea of what is the project "SCHEME" about.
Project "SCHEME" data sheet
The following table provides information about the project.
| Coordinator |
FUNDACIO INSTITUT CATALA DE RECERCA DE L'AIGUA
Organization address contact info |
| Coordinator Country | Spain [ES] |
| Total cost | 160˙932 € |
| EC max contribution | 160˙932 € (100%) |
| Programme |
1. H2020-EU.1.3.2. (Nurturing excellence by means of cross-border and cross-sector mobility) |
| Code Call | H2020-MSCA-IF-2018 |
| Funding Scheme | MSCA-IF-EF-ST |
| Starting year | 2019 |
| Duration (year-month-day) | from 2019-10-01 to 2021-09-30 |
Partnership
Take a look of project's partnership.
| # | ||||
|---|---|---|---|---|
| 1 | FUNDACIO INSTITUT CATALA DE RECERCA DE L'AIGUA | ES (GIRONA) | coordinator | 160˙932.00 |
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Project objective
Human populations worldwide are exposed to a large number of chemical pollutants from contaminated food, personal care products and the surrounding environment. Exposure to these compounds is generally assessed by human biomonitoring - the analysis of biomarkers (excreted parent compounds or metabolic products) in biological matrices from individuals, mostly urine. Due to the several limitations of this approach, a novel concept - sewage chemical information mining (SCIM), has been proposed. This approach is based on the analysis of specific human biomarkers in urban wastewater, but its potential in studying human exposure to pollutants has been scarcely investigated. The SCHEME project aims to contribute to the practical development and broadening of the SCIM field by developing a comprehensive analytical methodology for the determination of biomarkers of exposure to a wide range of organic pollutants, including different classes of personal care products and industrial chemicals. The biomarkers will be selected using the pharmacokinetics data and Human Metabolome Database and analysed by ultrahigh performance liquid chromatography - tandem mass spectrometry. The developed methodology will be applied in four European cities as case studies. However, the results of this exploratory study could lead to implementation of this novel, relatively inexpensive and near real-time approach for the assessment of human exposure to pollutants. By monitoring temporal and spatial trends, communities with the highest exposure could be promptly identified. Therefore, the results of the SCHEME project will be highly valuable for obtaining relevant epidemiological information and will contribute to preventing human health problems related to pollutants exposure. The fellow’s expertise, gathered in top international research institutions, and the outstanding infrastructure and capabilities available at ICRA, makes an ideal conjunction for the successful completion of the project.
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The information about "SCHEME" are provided by the European Opendata Portal: CORDIS opendata.