1. Understand the influence of intense rainfall events on the quality of water
2. Develop integrated sensor prototype
3. Test and validate the integrated sensor prototype
We will use rainfall forecasts to schedule passive sampling and co-created events focused on pesticide-related data linked to rainfall. This approach will enhance existing monitoring programs and identify climate-related impacts on water quality. We will examine surface waters, sewer overflows, and groundwater to ensure compliance with drinking water quality standards.
We will create a portable sensor that combines Surface-Enhanced Raman Spectroscopy (SERS) with microfluidics for multiplexed pesticide detection. The sensor will aim for a limit of detection (LOD) of at least 0.1 μg/L, ideally in the ng/L range, while ensuring high sensitivity, selectivity, measurement repeatability, and cost-effective production.
Testing will start with an experimental proof of concept (TRL3) and progress to technology validation (TRL5) using relevant environmental samples, including field tests. Regular feedback from “problem owners” in the partners’ networks will assess the system’s effectiveness in mitigating hydro-climatic extreme events.
4. Maximize impacts and outcomes of implementation
5.Democratization of data through Citizen Science
We will enhance our impact by conducting multidisciplinary research activities across five countries, aiming for efficient collaboration, integration of European R&I, and implementation of the proposed solutions.
We will organize a co-created citizen science project by providing water testing kits for turbidity assessment, allowing citizen groups to participate in pesticide screening. Samples will be analyzed at DCU and DTU, and we will arrange research exchange visits