Innovation Capabilities & Products

Characterization and modeling of algal blooms and their interaction with oceanographic and environmental conditions to model and predict proliferation episodes.

Development of mass spectroscopy techniques for rapid identification and quantification of parasites in seafood products, as well as proteomic techniques to identify pathogenic microorganisms, fish parasites and allergen proteins. 

This model and associated code was developed to optimize disinfection protocols and minimize bacterial resistance. This model was applied in the following journal article: Optimization of E. coli Inactivation by Benzalkonium Chloride Reveals the Importance of Quantifying the Inoculum Effect on Chemical Disinfection. Front. Microbiol., 26 June 2018. https://doi.org/10.3389/fmicb.2018.01259

More information and access to the code here.

GenSSI is a toolbox that requires MATLAB and Symbolic Math Toolbox. It offers a technique for studying structural identifiability using iterative Lie derivatives and identifiability tableaus.

More information here,

iObserver is an innovative monitoring device based on automated video monitoring coupled with artificial intelligence developments for visual recognition and quantification of the catches on board fishing vessels.

iObserver implements a continuous image recording system adaptable to different fishing vessels and deep learning algorithms to automatically identify and quantify catches on board in real time.

iObserver focuses mainly on developing algorithms for robust automatic species recognition and size estimation of fish transported on a conveyor belt. Trials have been performed on board Spanish oceanographic vessels and commercial vessels. With over 300 days at sea, iObserver was used in more than 1000 hauls and took more than 200,000 pictures, and 17 species have already been included in the system's catalogue.  

For further information, please contact us by e-mail.

Development of specific biomarkers and -omic techniques to quantify allergens and to track species composition and geographical origin for quality traceability and prevention of food fraud and unregulated fisheries.

Analysis of acidification, eutrophication and concentration of different pollutants  (PAHs, heavy metals, emerging contaminants, etc.) on water samples, as well as of their impact on biological and geochemical processes.

The saCeSS library allows solving non-linear programming (NLP) and mixed-integer non-linear programming (MINLP) problems. It also offers efficient local solvers for nonlinear parameter estimation problems associated with complex models (e.g. those described by differential equations).

More information here.

Microbiological treatment of oil spills (bioremediation) in marine environments. Application of dispersants and coastal cleaning agents under ecotoxicologically safe conditions to remove oil adhered to rock surfaces.

Authors: M. Rodríguez-Fernández and J. R. Banga

Description: SensSB is an easy-to-use Matlab®-based sensitivity analysis software toolbox. This tool integrates a variety of local and global sensitivity methods that can be applied to biological models described by ordinary differential equations (ODEs) or differential algebraic equations (DAEs). SensSB is also able to import models in the Systems Biology Mark-up Language (SBML) format.

Available here upon request.