Technologies

Nowadays, to properly design and develop advanced materials capable to preserve for long times their performance under aggressive environments such as power generation plants, renewables, nuclear reactors and electronics of new generation, transport on ground and on space, aeronautics, catalysis, biomedical implants, the optimization of metallurgical processes involved is crucial.

VisLab laboratory of IMM possesses a latest generation Raman micro-spectroscope equipped for vibrational measurements with high spatial and spectral resolution, at controlled temperature and in fast-imaging. The apparatus can be used to collect information and chemico-physical maps without the need for sample preparation and alteration, therefore for non-destructive studies and in operating conditions.

The procedure enables the fabrication of nanocomposite membranes filled with suitable amounts of exfoliated bidimensional crystals. These are obtained with an advanced wet-jet milling technique, which provides desired thickness and lateral size of nanofillers through the pulverization and colloidal homogenization of bulk nanomaterials. The bidimensional crystals are dispersed in fluids and suitably delivered inside polymeric matrixes exhibiting a singular morphology.

The object of the technology is the development of a transferable methodology from the laboratory scale to the pilot scale to be validated in the industrial setting for the treatment of basic waste of natural polymers of agro-food or manufacturing industry.

The Q-PLL is a nonlinear circuit which can maintain a locked state when forced by two incommensurate frequencies.

The locked state is a third frequency parametrically selected among those prescribed by the theory of three-frequency resonances in dynamical systems.

In particular, the locked frequency forms a three-frequency resonance with the frequencies of the quasi- periodic input and is closely related to the pitch perception of complex sound in humans.

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.

Safe, efficient and specific nano-delivery systems are increasingly needed for precision and regenerative medicine and targeted therapies (e.g. anticancer and antimicrobial therapies), as well as for  the cosmetic and nutraceutical sectors’ applications. Despite the appreciable success of synthetic nanovectors, like for example liposomes, their clinical and market application is hampered by some limitations: • large scale production, • low cost production • intrinsic toxicity • limited cellular uptake • limited consumer acceptance.