WATERSCAN WATER pollution warning System Combining bioAssays on passive sampling extracts and real time mixture toxicity detectioN ;officially approved by resolutions Tecniospring INDUSTRY

Ciutat:
Poster European Corner

Nom i cognoms / Name and surname

Roberta Carafa

Afiliació / Affiliation

AECOM

Programa de finançament europeu en que s’enmarca aquest projecte? / European funding programme in which this project is being carried out?

Marie Skłodowska-Curie Schemes

Títol del projecte / Project title

WATERSCAN WATER pollution warning System Combining bioAssays on passive sampling extracts and real time mixture toxicity detectioN ;officially approved by resolutions Tecniospring INDUSTRY

Número del projecte / Project number

COFUND-MSCA 801342

Breu explicació del projecte / Brief explanation of your project

Despite the efforts made in the last decades for the implementation of the Water Framework. Directive, water pollution is still a main cause of water quality deterioration. The traditional monitoring, based on grab samples, is not economically affordable and interest is rising in effect-based methods. Bioassays and biosensors can determine biological responses caused by complex mixtures by measuring their combined effects. The aim of WATERSCAN project is: 1. To bring to the market an already patented biofilm-based sensor that provides real time detection of mixture toxicity in water 2. To test a panel of standard bioassays exposed to environmental toxic mixtures.

Enllaç a la pàgina web del projecte / Link to your project website

https://medium.com/marie-curie-alumni/can-we-use-a-biosensor-to-detect-water-pollution-in-real-time-dafdfa78ee5a

Repte en que s’emmarca aquest projecte / Challenge within the framework of this project

3. Restore our Ocean and Waters by 2030

 

 

 

 

 

 

 

Coordinen:

Amb el suport de:

Amb el finançament de:

Aquest projecte està cofinançat pel programa de recerca i innovació Horizon Europe de la Unió Europea sota el projecte NitRecerCat (101061189).

This project is co-funded by the European Union’s research and innovation programme Horizon Europe, under the project NitRecercat (101061189).