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.
Technologies
In this section it is possible to view, also through targeted research, the technologies inserted in the PROMO-TT Database. For further information on the technologies and to contact the CNR Research Teams who developed them, it is necessary to contact the Project Manager (see the references at the bottom of each record card).
Displaying results 1 - 15 of 67
The Proof-of-Concept A.L.I.C.E. or "Actuators based on Light sensitive CompositE" aims at the development of innovative materials through 3D/4D printing processes and uses them as actuators in the fields of photovoltaics, concentrated solar power, thermodynamic solar, and other applications such as optical deflectors, optical microvalves, and optical switches.
AIDD is an integrated tool and a radically new way to discovery new drugs for neurodegenerative diseases (Alzheimer’s, Epilepsy, Ageing, etc.).
Time-correlated single photon counting (TCSPC) is regarded as the “gold-standard” method for fluorescence lifetime measurements. However, TCSPC requires using highly sensitive detectors, not suitable for measurements under bright light conditions, thereby making the use impractical in clinical settings. The invention described here solves this problem by synchronizing the fluorescence detection with an external light source.
B-ME developed the first thermoplastic composite electrode film based on bio-derived and biodegradable polyesters and carbon nano-fibers. It is metal-free, highly electrically conductive and possess good thermo-mechanical properties, a challenging combination of three features in a single product. This is the first-of-its-kind product, as, to the best of our knowledge, no thermoplastic biobased electrode film has been effectively produced and used so far.
The Biocrystal Facility, a large multidisciplinary laboratory established at the Institute of Molecular Biology and Pathology (IBPM) of CNR, in collaboration with the Biochemistry Department of Sapienza University aims at supporting the italian scientists and the pharmaceutical companies in the research to find new drug and vaccine against the endemic and epidemic diseases through structure-based drug design.
The present invention relates to the biomedical sector of the treatment of lung diseases and related symptoms. In particular, the present invention provides compositions and methods based on the use of selected polymeric biomaterials, in combination with stem cells and/or their secretome, capable of synergistically improving the development, regeneration and repair of chronic lung injuries and related symptoms.
C-ImmSim is one of the most advanced computational models of the immune system. The software resorts to (bit or amino acid) strings to represent the “binding site” of cells and molecules. C-ImmSim is an agent-based model that includes the major classes of immune cells of the lymphoid lineage and some of the myeloid lineage. Helper T cells are divided into five phenotypes. B cells and plasma B are also divided into two phenotypes.
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.
The final technology will add polarimetric capability to imaging cameras in the NUV/optical, providing simultaneous measurements of the different polarization states of the light. This will be obtained by the development of an innovative coating based on nanostructured emissive materials sensitive to the polarization of the incident light. A double layer film of two organic systems will be coupled to image detectors so that the two polarization components of the incoming light are converted into two different colors.
The compact-GC platform is a MEMS-based analytical module for the purge&trap pre-concentration and (gas)-chromatographic separation of a sample. The two analytical MEMS (pre-concentrator and GC column) are interconnected by means of a MEMS microfluidic manifold. The microfluidic manifold interconnects the analytical MEMS, but it also acts as injector through the integrated micro-valves.
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.
Shape memory alloys (SMA) have attracted increasing interest in recent years as materials suitable for solid state refrigeration. One of the most attractive methods is mechanical deformation to induce the phase transformation and to generate and absorb heat through the elastocaloric effect.
The technology has been developed over the past 25 years, implementing new innovative components during time. The methodology provides a set of 2D acoustic images in different frequency intervals, for revealing the structural damage (detachments, delaminations, structural weakening) in multi-layer structures and artworks (mural paintings, frescoes, ceramic panels, panel paintings). Recently, interesting results have been obtained in studies of the water related deterioration effects on antique masonry structures.
Digital Eye is an innovative, rapid and high-precision intelligent computer vision system for the non-destructive and contactless evaluation of quality and shelf-life of whole or fresh-cut fruit and vegetables. It integrates advanced vision and artificial intelligence technologies to estimate parameters useful to evaluate the quality of fruit and vegetables, during both the harvesting phase and the cold chain.