Where Research Industry and Investors Meet&Match
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 - 8 of 8
A biosensor based on magnetic microspheres functionalized with a DNA-aptamer was developed for the specific biomonitoring of biological contaminants (mycotoxins) in urine.
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.
The insertion of executable programs within QR codes is a new enabling technology for many application contexts in everyday life. Every time Internet access is unavailable, QR code usage is limited to reading the data it contains without any possibility of interaction.
Method for extracting, with high yield, phycobiliproteins from cyanobacterial and/or algal biomass, obtaining aqueous extracts characterized by high concentration of pigments (4-5 mg/mL) and a purity, at least equal to food/cosmetic grade (P≥2).
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.
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.
The software is based on mathematical models able of simulating the time evolution of the different stages of a pest population starting from environmental data collected from weather stations located in an area of interest and information regarding the development stage of the host plant. The models are of two types: phenological, which provides information on the stages population as a function of time and demographic which also allows to know the abundance of each population stage.
