Creating and sharing knowledge for telecommunications

Project: AQUATICsens - wAter QUAlity assessment using Fibre OpTICs SENSors

Acronym: AQUATICsens
Main Objective:
The overall aim of the present proposal is to explore fibre optics as improved technological basis for sensors of surface water quality. Although the implementation of the European Water Framework offers a wide range of applications, this project focuses in the determination of pesticides.
The specific objectives are as follows:

-Specific Aim 1: Development of sensing platforms based on optical fibers and exploiting selective interfaces and surfaces for the easy detection of contaminants in water
-Specific Aim 2: To develop and produce high resolution chemical optical fibre sensors using the combination of FBGs and SMS structures in an intensity based detection scheme. It is expected very novel devices relatively to the state of the art.
-Specific Aim 3: To develop new strategies to integrate MIP based sensing membranes in fibre based optical platforms.
-Specific Aim 4: Development of Machine Learning algorithms conjugated with the physical modulation of the system to data analysis, classification and anomaly detections.
-Specific Aim 5: to integrate the developed prototypes in an IoT platform for water quality monitoring, already developed within the scope of sWAT project.
- Specific Aim 6: Develop a unique optical platform for monitoring of water quality.
-Specific Aim 7: To train young researchers. Different opportunities will be given to researchers at different levels of their careers.
-Specific Aim 8 - Continue the successful international scientific networking.

The expected outcome is water quality monitoring system prototype demonstration in operational environment device targeting contaminants detection, namely pesticides/herbicides. The originality relies on the development and exploitation of innovative interfaces to make optical fiber sensors intrinsically sensitive to refractive index changes, able to detect the presence of specific water contaminants and measure their concentration in situ, without the need to carry the samples to specialized laboratories.
Reference: POCI-01-0145-FEDER-032057
Funding: FCT/POCI
Start Date: 01-06-2018
End Date: 31-03-2022
Team: Lúcia Maria Botas Bilro, Filipa da Rosa Carvalhal Sequeira, Ricardo Jorge Figueiredo Oliveira, Rogério Nunes Nogueira, Ana Maria Sousa da Rocha, Daniel Andre Pires Duarte, Hypolito José Kalinowsky
Groups: Optical Sensors and Integrated Photonics - Av
Partners: Universidade de Aveiro
Local Coordinator: Lúcia Maria Botas Bilro

Associated Publications
  • 1Papers in Journals
  • F. Sequeira, S. Reis, R. Oliveira, Gomes, M. T. S. R. S. R. Gomes, Rudnitskaya, A. Rudnitskaya, Glyphosate Detection Through Piezoelectric and Fiber Optic Sensors Based on Molecular Imprinted Polymers, IEEE Sensors Journal, Vol. 24, No. 13, pp. 20331 - 20342, July, 2024,
    | Abstract
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