Imagine using tiny, engineered bacteria as living alarms that glow or send a signal when they touch pollutants. These bacteria are plugged into a smart device that turns those biological signals into digital data. This data is then sent wirelessly to your phone, letting you know exactly what's in the water without needing to send samples to a lab.
Current pollution monitoring relies on slow, expensive lab tests and manual sampling. This creates a 'sensor gap' where time-sensitive pollution events are missed because data isn't available in real-time.
An integrated platform consisting of genetically modified microbe-based biosensors, analog front-end electronics for optical and electrochemical signals, and an AI-powered IoT dashboard.
If you are a municipal water utility dealing with slow, costly lab-based sampling for nitrates and phosphates — this project developed a real-time biosensor platform that provides immediate digital alerts via LoRa networks.
If you are a soil remediation firm dealing with the difficulty of tracking PFAS and endocrine disruptors in the field — this project developed a multiplexed sensor system that detects these pollutants on-site using AI-corrected data.
If you are a chemical plant operator dealing with the risk of accidental pollutant release into local rivers — this project developed an autonomous IoT end-node system that monitors water quality in near-real time.
Based on available project data, specific pricing or cost-per-unit information is not provided.
The project objective states that biosensors will be scalable and adaptable to different applications in water and soil, with deployment in 4 different use-cases.
Based on available project data, there is no specific mention of patents or licensing agreements, though the project involves 9 partners across 5 countries.
The platform uses autonomous IoT end-nodes designed for easy integration into existing LoRa networks for real-time data feeds.
The project period is from 2024-01-01 to 2026-12-31, indicating the development and testing phase is active through 2026.
The consortium is vertically integrated with 9 partners from 5 countries, combining academic research (2 universities, 5 research centers) with practical application (1 industrial partner and 1 other entity). While the industry ratio is low at 11%, the inclusion of local government and national regulatory agencies ensures the technology is developed according to actual regulatory requirements.
University College Cork - National University of Ireland, Cork
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