• Prototype | MUSSEL-HFNI: high-frequency non-invasive (HFNI) low-cost biosensor for aquaculture monitoring

    Device to monitor the physiological status of up to 64 bivalves in their culture system in real time. 

    The monitoring system is based on the analysis of micro-movements of bivalves related to valve opening (valvometry). This technique has been confirmed by recent studies as a very promising technique to detect harmful algal blooms or ocean acidification episodes.

    The prototype is being adapted to increase its portability and autonomy. For further information, please contact us by e-mail.

     

  • Capabilities | Design of disinfection procedures and modeling for the prevention of antimicrobial resistance

    Development of chemical (combinations of disinfectants, essential oils) and biological (enzymes, phages) strategies that are effective for removing monospecific and mixed microbial biofilms from surfaces in the food industry. Biocide testing and development of better biocide dosage strategies for the food industry, ensuring food safety while avoiding antimicrobial resistance acquisition.

     

  • Capabilities | Pathogen incidence and risk assessment

    Pathogen detection and identification in wild and farmed animals, as well as in seafood products. Evaluation of the relationship between pathogen incidence and various environmental and physiological aspects to provide risk assessments for target pathogens.

  • Capabilities | Development and optimization of aquaculture systems for traditional and new farmed species

    Development of integrated culture techniques for new aquaculture species, as well as optimization of traditional ones based on different approaches (i.e. early development, handling, feeding, disease and immune responses, ecophysiological performance, or ecosystem carrying capacity) to improve animal welfare, yield and sustainability in global marine aquaculture.

  • Software | BioPreDyn-bench: a suite of benchmark problems for dynamic modeling in systems biology

    BioPreDyn-Bench is a suite of benchmark problems for dynamic modeling in systems biology. Currently, it contains six challenging parameter estimation problems, which aspire to serve as reference test cases in this area. This set includes medium- and large-scale kinetic models of E.coli, S. cerevisiae, D. melanogaster, Chinese Hamster Ovary (CHO) cells and a generic signaling network. The level of description includes metabolism, transcription, signal transduction and development.

    More information here.

  • Trademark | Smart Fip: 100% sustainable, 0% waste fisheries

    Smart Fip is a trademark that certifies the application of a private voluntary control system on parasitic risk assessment for fishery products along the entire value chain. Smart Fip is a cognitive predictive inspection protocol based on a set of international standards, scientific-technical protocols and unique tools that allow for the digital transformation of the inspection system. These protocols and diagnostic techniques are based on the European biobank of samples and marine molecules from parasites of biotechnological interest available to the IIM-CSIC. By accepting the regulations for the use of the brand, companies implement a reliable inspection and categorization system for flexible decision-making, which allows applying technical solutions at different steps and reducing food waste throughout the whole process.

  • Software | MIDER: a toolbox for network inference using mutual information distance and entropy reduction

    MIDER (mutual information distance and entropy reduction) is a general purpose software tool for inferring network structures. It has been developed with biological networks in mind but can be applied to other areas.

    More information here.