Technologies

Bivalve mollusc shells are made mainly of CaCO₃ (ca 95%), with a small fraction of organic material. If from these shells this mineral is retrieved, they could become a renewable and sustainable “mine” of a “blue” CaCO₃. Bivalve mollusc shells, also after the removal of the animal flesh, maintain a certain quantity of organic substances, part in the muscle and part in the shell.

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.

CNR-ISTEC develops geopolymer composites for thermostructural applications, such as: self-supporting cavities; thermal and acoustic insulation; thermal and fire barriers; high temperature coatings and damping; molds and cores for foundry; foams and refractory linings. Geopolymers are chemically bonded materials at T <300 ° C. Being inorganic polymers without water in the structure, they tolerate high temperatures: they are incombustible, do not emit gas or fumes and do not explode.

Inert biomedical devices with modular load-bearing function designed with peculiar multi-domain composite microstructures. The reference compositional system is Zirconia-Alumina with a prevailing overall composition of customizable zirconia or alumina. Examples of devices are 3D structures consisting of parts with differentiated functional properties, due to different composition/microstructure/architecture, and further functionalizable ex-post to favor and improve the stabilization of the implantation by newly formed bone in superior quantity and quality.

Geopolymers are synthetic inorganic polymers obtained from an aluminosilicate powder and an aqueous solution of alkaline hydroxides or silicates. The material is mesoporous and a multidimensional and functional porosity can be generated through the addition of fillers or the use of specific techniques.

The mix-design of the mixture, pure or composite, allows to change the chemical-physical properties of the final material, also thanks to the nucleation of zeolitic phases. Geopolymers also possess ion exchange and electrostatic interaction capabilities.

This technology concerns the development of new eco-sustainable UV physical/mineral filters with the aim of offering important innovations per the cosmetic sector. This, encouraged by European initiatives in the Green-Deal context, is constantly looking for new components with improved protection of the human health and the environment.

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.

Chemical solution deposition of metal-organic precursors have favoured the research and development of thin films of simple and complex oxides such as Pb(Zr,Ti)O3, and Al2O3, up to their industrial application in pyroelectric and capacitor devices. Deposition methods used are spin-on and dip-coating. The advantages of the techniques are:

(i) low cost of equipment and chemicals

(ii) large area deposition

(iii) low crystallisation temperatures

The proposed technology offers a novel and versatile method for detecting cracks in insulating materials of electrically polarized metal devices, i.e. dielectric coatings on metals, especially in low-pressure gas environments. It uses an ionized plasma that interacts uniformly with the insulating surface, allowing to detect defects invisible to the naked eye. The detection occurs in a single test without changing the environmental conditions and without risking harmful electrical discharges.

Solid State Nuclear Magnetic Resonance spectroscopy (SSNMR) is today one of the most powerful techniques for characterizing solid and soft materials and systems. This spectroscopy allows the detailed characterization of structural and dynamic properties over large spatial (0.1-100 nm) and time (10²-10^-11 s) scales. Accessing these properties allows a deep knowledge of a material to be obtained and  its design and optimization to be oriented.

The instrument which is under development is a non-conventional portable Raman spectrometer. Raman spectrometers provide the molecular composition of the material surfaces, essential for their identification. The instrument peculiarity relies in the simultaneous acquisition of Raman spectra at imaged position and at different micrometric distances (offset) from the laser illumination area.

The proposing team that works at CNR ISTEC has recently patented a technology for the production of the Smart Polycrystals (SP), i.e. transparent YAG-based ceramic polycrystals (Y₃Al₅O₁₂) variably doped with rare earths ions and transition metals ions. The SPs solve the problem of the reduction of the efficiency in the solid state laser systems caused by the inhomogeneous heating of the single crystals during the emission process.

The proposed technology is about the development of an innovative sunscreen obtained from cod fish bones, according to the principles of the circular economy. The sunscreen is a reddish powder, which is constituted of hydroxyapatite (a calcium phosphate main component of human bones) modified with iron. It is prepared with a simple and easily scalable process (treatment of the bones in Fe solution and successively at T = 700 oC) and could be adapted for bones of other fishes. 

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.