FunNanoSurf involves the synthesis, characterization and processing of molecular based materials, mainly porphyrins and curcuminoid systems (0D, cyclic and linear conjugated systems) and supramolecular entities as cyclodextrins and curcubiturils. Such systems are also estudied in the development of polymers (1D) and 2D materials. FunNanoSurf studies their properties to find applications related to the fields of molecular electronics, molecular magnetism, biomaterials and sensors (creating devices or parts of them as for example functioned electrodes for sensor applications).

The group has wide experience in the development and implementation of atomistic computational methods (for example, the very well-known SIESTA code), and in the formulation of new frameworks for theoretical analysis (such as the computation of the magnetoelectric coefficient, and the first-principles theory of flexoelectricity). Due to their great versatility, the group's methods can be applied in a variety of fields, such as functional oxides, nanowires, low-dimensionality systems, and soft matter.

We are interested in the chemistry of small molecules obtained from macro- (algae and invertebrates) or microorganisms (bacteria, actinomycete and fungi) from marine and also in their potential industrial application. We have generated a large collection of isolates of microorganisms. Our purpose is to ferment these isolates, and to select them through bioactivity screenings.

Research within the fields of ecology and evolution within insular systems, with special reference to oceanic islands. Research is principally focussed within the islands of the macaronesian region, but research also extends to the Balearic Islands, Galápagos, Hawaii, Reunión y Seychelles, and insular continental systems.

Research on the Geophysical premonitory for early detection of volcanic unrest.:. Deformation using geodetic GPS and inclinometry. Microseismic activity short and medium term. Geogas Variations in underground environments. Thermal anomalies,. Registration, high-resolution, environmental changes Paleomagnetic laboratory, applied to the reconstruction of the volcanic history of the Canary archipelago Study lithospheric processes associated with volcanic unrest on oceanic islands .. Magnetic susceptibility applied to the study of the paleoenvironment of the Neanderthals in the Ib

Beneficial actions of probiotics (mainly focused to Bifidobacterium) and prebiotics, through the study of the interplay among the microbiota, gastrointestinal environment, the host physiology and immune system. Technological and microbial safety issues of probiotcs in dairy products. We incorporated, in close collaboration with nutrition researchers from other entities, the study of the interaction of diet and its components, with intestinal microbiota and human health. 3 staff Scientists have applied for their voluntary leave of the Group (4/5/2016).

Identification, selection and characterization of technologically relevant microorganisms, particularly those belonging to the lactic acid bacteria (LAB) group to be used as starters in dairy fermentations. Identification and selection of LAB from the human gastrointestinal tract (GIT) for use as probiotics in dairy products. Uncover the composition, diversity and dynamics of microbial populations in cheese and GIT ecosystems.

The IPLA-CSIC Molecular Microbiology group works on the study of lactic acid bacteria (LAB) and their bacteriophages, with the ultimate goal of contributing to improving food safety and quality, as well as consumer health. LAB are an essential microbial group in the Dairy Sector, due to their use as starter cultures in the production of a wide variety of fermented dairy foods, including cheese. They can also produce a beneficial effect on the health of the consumer.

Ion homeostasis is a dynamic process and a fundamental requirement for all organisms. Many different minerals are required for essential biochemical processes, but accumulation of these elements is toxic. Thus, all living organisms have developed efficient systems to acquire and store these elements and robust mechanisms to maintain homeostatic concentrations to avoid toxicity and to respond to environmental changes.

Since 2000, the group has been leading initiatives to develop computing techniques and infrastructures for simulation and massive data processing: European (EOSC, EGI), international (CERN Tier-2 CMS) and national (e-Science network and ICTS Spanish Supercomputing Network (RES), Altamira node, first official master's degree in Data Science).