Project description
Micro/nano plastic pollution in aquatic environments is a critical global concern, detrimental to ecosystems, water resources and global health. The presence of these contaminants in wastewater poses challenges for industries, including hydrogen production, where water quality directly impacts electrolyser performance and hydrogen purity. Current detection technologies lack the specificity, scalability, and cost-effectiveness to address this issue. This project seeks to bridge these gaps by leveraging cutting-edge, cost-effective electrochemical sensor technologies and advanced machine-learning algorithms to ensure high sensitivity, selectivity, and operational efficiency.
The project aim is to develop advanced and cost-effective electrochemical sensing methodologies for detecting micro/nano plastics in wastewater, enabling improved water quality monitoring for HydroStar’s sustainable green hydrogen production.
The proposed EngD studentship will work closely with HydroStar Europe Ltd., a green hydrogen production technology leader. HydroStar's expertise and infrastructure will offer a practical framework for testing and validating the developed sensor technology in real-world industrial environments.
During the course of the EngD, the student will design and optimise a prototype sensor for detecting micro and nano plastics in both ultra-pure and wastewater environments, validate the accuracy and reliability of the sensor through laboratory testing under various water conditions, evaluate the sensor's potential to improve water quality monitoring in green hydrogen production applications, and assess the scalability of the developed sensor for integration into industrial water quality assessment systems.
The EngD will start with literature review, followed by sensor design and development using machine learning, laboratory testing and impact analysis, scaling and field testing, and dissemination and commercialisation.