We propose a portable chemical analysis system capable of identifying chemical substances at trace concentrations (sub-ppm), even in case of a complex matrix of interfering species.
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 58
Plants have a huge potential to contribute to the solution of a large number of issues facing the modern world, ranging from a poor crop yields and problems caused by global climate changing. Our team has been on the forefront of the PCR and NGS applications to plant responses to biotic and abiotic stress. As experts in genomics and plant pathology we are able to accelerate the understanding and use of plant genes and resources.
The current technology allows to achieve new macroporous superadsorbent polymeric materials able to remove toxic contaminants from water and soil showing excellent sequestering properties against arsenate As (V), chromate Cr (VI) and Borate B (III) ions. The material is obtained by radical cryopolymerization of the monomer 4'-vinyl-benzyl-N-methyl-D-glucamine and / or its mixtures with hydroxyethyl-methacrylate (HEMA).
NIRS is a non-invasive technique for the human brain cortex imaging based on the measurement of the NIR light emitted by suitable optical sources placed on the patient head and backdiffused to the surface after passing through the brain tissues. NIRS monitors the percentage of oxygenated and reduced hemoglobin in the blood, and it allows the real time functional imaging of the brain cortex also in tomographic mode (Diffuse Optical Tomography - DOT).
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.
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.
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.
WembraneX is an Italian start-up born with the ambition to make a significant contribution to UN Sustainable Goal 6 - Ensure Access to Clean Water and Sanitation for all by 2030.
An innovative approach for the treatment of diabetic and venous ulcers, characterized by a difficult healing process and therefore at potential risk of infection and therefore of hospitalization and amputation of the limb, is represented by the local administration of "bioactive" factors through the use of synthetic and/or biological matrices that allow a gradual and controlled release in order to obtain a better and faster healing.
The invention is about the development of a device and its methodology for measuring the active and reactive sound intensity from the impedance computation. The active intensity is calculated directly in the frequency domain multiplying the complex impedance and power spectrum of the air particle velocity. A second line of post-processing is applied to obtain the overall complex sound intensity.
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.
Recently, nanoparticles and nanovesicles have been investigated as potential approaches for the treatment of neurodegenerative diseases. In particular, in the Biotech sector an increasingly deeper penetration of new treatment models and biological drugs based on cellular, subcellular and vesicle therapies is expected. The patent is based on the production of Myelin-based nanoVesicles (MyVes) produced by microfluidics, starting from myelin extracted from brain tissue. These vesicles find two major fields of applications as potential drugs or as supplements/nutraceuticals.
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.
With the advent of senolytic agents, capable of selectively removing senescent cells in “aged” tissues, the perception of age-associated diseases has changed from being an inevitable to a preventable phenomenon of human life. The present invention is part of this research topic with the identification of molecules with potential pro-apoptotic activity, specifically with senolytic activity. The computational approach adopted, is based on combining ligand-base and structure-based virtual screening.