SOURCE-LINKED INTELLIGENCE

Sensing Microbial Activities Related To Harmful Algae Blooms

CORDIS · observation · Publication date unknown

e bacterial biofilms (EABs) and the electrode; (ii) design and develop a multimodule AHFM platform with biosensors to collect massive water quality data that, after processing through machine leaning/artificial intelligence (ML/AI) tools, will allow to correlate the electrical fingerprints with HAB-related processes; and (iii) understand the sensitivity of the biosensor to microbial community shifts. All this knowledge will be transferred to IMDEA Water (Spain-EU), where (iv) the ability of biosensors to identify specific events related to HABs will be enhanced by constructing tailored biofilms on electrodes through an innovative 3D-printing technique. Overall, this project will allow the fellow to gain experience and a set of skills to reach a future position of maturity, while advancing scientific knowledge in the framework of EU policies on adaptation to climate change and digitization of water resources. Harmful algae blooms, Cyanobacteria, Eutrophication, Biosensors, Microbial interaction, Monitoring, Biofilms, Electroactive bacteria, 3D-printing, scanning electrochemical micro

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recordType

award

status

SIGNED

region

EU

value

285140.64

unit

EUR