BIOSENSEI develops a real-time, multiplexed, end-to-end, tailored and reliable biosensor platform, using cellular responses, for detection of abiotic pollutants – Nutrients, Estrogenic endocrine-disrupting chemicals, and PFAS (Perfluoroalkyl and Polyfluoroalkyl Substances); and biotic pollutants – Microcystins. For that, different aspects will be covered:
- Cellular biosensors from bacterial variants will be genetically engineered using, RNARNA interactive and type III CRISPR-Cas-mediated transduction cascades.
- These biosensors are encapsulated and immobilised at bimodal transducers (nanoelectrochemical and optical) to provide highly reliable, tuneable and sensitive detection of the target pollutants.
- Bespoke ultra-low power analog front ends and autonomous IoT end-nodes will enable operation and data acquisition from biosensors and facilitate easy integration in existing LoRa networks enabling real-time data feeds.
- Neural computing algorithms are embedded on the edge to correct for sensor aging and interferents in the (bio)chemical transduction and improve sensor data accuracy.

BIOSENSEI will embed the whole R&D process within a safe-and-sustainable-by-design framework to guarantee environmental safety related to risks of potential release into the open environment. Biosensors will be scalable, adaptable to different applications in water & soil and will be deployed in four different use-cases.
The consortium is vertically integrated bringing expertise in cellular biology, surface chemistry, nanoelectronics fabrication, hardware integration, regulatory and industrial sampling and artificial intelligence.