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 - 12 of 12
Silicon nanowires (SiNWs) are 1D structures with diameter ranging from few tens to hundreds of nanometers and length varying from few tens of nanometers to millimiters. SiNWs are fabricated in the labs of the IMM-CNR, Rome Unit, by using bottom-up technologies such as plasma enhanced chemical vapor deposition (PECVD) at low growth temperature ((≤350°C), allowing the use of plastic and glassy substrates. Their electrical properties can be tuned by controlling the p/n doping during the growth.
22q11.2DS(DGS) deletion syndrome is a rare and phenotypically variable multiorgan syndrome, currently without any cure. Our aim is to develop a standardized approach to formulate pharmacological products useful for clinical trials direct to prevent some serious clinical manifestations of adolescence and adulthood, such as neuropsychiatric and musculoskeletal diseases, or to eliminate or improve cardiovascular defects during embryonic development.
At IFN-CNR, in collaboration with Politecnico di Milano-Department of Physics, we have developed Raman microscopy approaches compatible with the study and characterization of biological and industrial samples. In detail, our facility houses a self-built spontaneous confocal Raman microscope with the following characteristics: two excitation lasers (660nm and 785nm), inverted microscope (Olympus IX-73) and Princeton spectrometer / CCD.
Extracellular vesicles produced by teratocarcinoma cells were isolated and characterized. Functional assays on glioblastoma (GBM) cell cultures showed the inhibitory effect of these vesicles on tumor cell migration, without inducing undesirable effects such as increased cell proliferation or chemotherapy resistance.
In our recent publication we identified a group of bladder cancer-specific ncRNA, called T-UCRs that are the most up-regulated in bladder cancer patient samples compared with normal bladder urothelium.
The aim of the research group is the creation of 3D models (microorgan/ organoids) constructed using samples obtained from patients, both biopsy samples and samples collected with non-invasive techniques (exhaled breath condensate, induced sputum, blood samples).
We have identified the presence of the poorly characterized precursor proNGF-A in human tissues, deposited its coding nucleotide sequence (GenBank MH358394) and demonstrated its neuroprotective and neurotrophic activity in vitro and in vivo. We inserted mutations into the native molecule, identified through computational analysis, which allow proNGF-A production by eukaryotic expression systems, through a method currently validated on a laboratory scale.
Plants can compete favorably with traditional expression systems (mammalian cells, yeasts or bacteria) to produce recombinant proteins/peptides of pharmaceutical/industrial/agrifood interest. This technology names “Plant Molecular Farming”. The CNR-IBBA research team offers the study of new strategies for the expression and optimization of recombinant proteins/peptides in plant-based systems (plant tissues, transgenic plants, plant cell culture). Our pipeline is based on the following modules:
The platform allows acquisition of data from commercial and custom sensors. By now, the system has been embedded in a wearable wristband where elastomeric based strain gauge have been integrated to detect fine hand/wrist/arm movements. The platform integrates inertial sensors (accelerometers, gyroscopes) to acquire more details about the subject movements. A sensor-fusion algorithm enables advanced movement recognition (gesture, 3D orientation). A machine-learning algorithm is in development to increase the performance of the platform.
The environment as well as the food production provide a number of both natural and synthetic compounds whose effects on human being as an organism have not yet been determined nor investigated.
Environmental monitoring is a rapidly growing field, both in academia and industry. The use of wearables for environmental monitoring is a promising technique, as it allows data to be collected continuously and comprehensively. The main problem with using wearables for environmental monitoring is the size and weight of the system, as well as the high degree of specialization required to develop a fully functional device.