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.
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 16 - 30 of 42
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).
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.
This invention comprises an interrogation and readout differential method for chemical sensors based on Surface Plasmon Resonances (SPR). The integration of the SPR sensing unit (chip or other), as intermediate reflecting element of a Fabry-Perot (FP) optical resonator, is the starting point for the application of this method.
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.
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.
The development of new materials with near-infrared emission (NIR, 700 – 1000 nm) represent an important target in the technological progress of innovative active components for OLED devices (including flexible ones), surveillance systems, autonomous driving, night vision sensors, fiber optic telecommunications and medical systems. In all these fields it still lacks a commercial NIR-OLED technology.
Therapeutic strategies targeting cell cycle in cancer have in general failed in the clinic since the drugs have lacked the therapeutic index required to achieve a robust response against cancer cells with little or no cytotoxic effect on normal cells. NEK6 kinase, which is implicated in cell cycle control, has recently emerged as an attractive target for the development of novel anticancer drugs with enhanced therapeutic index.
We have identified compounds that show a neuroprotective action in vivo, in models of neurodegenerative diseases (e.g. SMA, Parkinson, Alzheimer, Huntington) in the model organism C. elegans. These compounds consist of: mixtures of 22 natural extracts, 15 natural molecules and 11 synthetic molecules.
Celiac disease and non-celiac gluten sensitivity affect a large portion of the world population. Furthermore, the percentage of people who adopt the gluten free diet is constantly increasing because it is perceived to be healthier. We have previously developed a food grade enzymatic procedure (transamidation) for wheat flour capable of making gluten unable to induce the inflammatory response in the intestine of celiac disease patients.
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.