Innovation Capabilities & Products

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.

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.

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.

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.

Application of the most advanced -omic techniques for the identification of resistance genes that can be used as biomarkers for the selection of pathogen-resistant variants of marine aquaculture species.

Development of mathematical algorithms and simulation software for global optimization and control of bioprocesses in the food and biotechnological industry

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.

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Development of Deep Learning algorithms that allow automating fisheries monitoring processes and reducing time and costs compared with processing by human observers. The applications developed range from innovative systems for real-time remote electronic monitoring, which identify and quantify total catches of fishing vessels (e.g., iObserver), to new image recognition techniques that allow individually identifying fish and estimating population parameters. 

Identification of new molecular markers for species identification through Next-Generation Sequencing in environmental DNA samples, with applications for biodiversity monitoring and fisheries stock assessment. 

Authors: Miquel Planas Oliver; Alexandre Chamorro Valverde

Description: Development of integrated culture procedures for the industrial production of seahorses of the species Hippocampus reidi.