Technologies

Our idea come from the improving of the traceability technique in agro-food fisheries industries through the application of omics technologies in microbiota studies.  These latter would be capable of exploiting the huge pool of biological molecules contained in fishery resources (e.g. nucleic acids, proteins, metabolites) and use them as a powerful tools for the identification and reconstruction of fishery history, from the sea to the table.

Detection devices for the presence of molecules of interest (analytes) enjoyed a renewed burst with the introduction of biological components (biosensors). Their high specificity is often used in various fields, from environmental monitoring and biomedicine to the protection and promotion of agri-food products. However, the high cost of production and the lack of compatibility with mass sampling (high-throughput) sometimes limit their use.

The NanoMicroFab infrastructure, support companies operating in the field of micro and nanoelectronics through the supply of materials, development of processes, design, fabrication and characterization of materials and devices. NanoMicroFab makes use of existing CNR facilities of the Institute of Microelectronics and Microsystems, the Institute of Photonics and Nanotechnologies and the Institute for the Structure of Matter and provides: • a complete line of development of devices based on wide band gap semiconductors.

Combinations of several enzymes in a production chain are preferred to “first generation” enzymatic processes (where the "single reaction - single enzyme" principle was followed), for the synthesis of compounds with high added value starting from simple and cheap substrates. An important requirement for obtaining control in "cascade enzymatic reactions" is the ability to deliver from one biocatalyst to the next one the various intermediates, limiting as much as possible the diffusion of the latter in the solvent.

This form describes a programmable, autonomous and stand-alone imaging system for the acquisition and processing of images containing subjects whose size is larger than 1cm (e.g. gelatinous zooplankton, fishes, litter, manufacts), form the seafloor or along the water column, in shallow or deep waters. It is capable to recognize and classify the image content through pattern recognition algorithms that combine computer vision and artificial intelligence methodologies.