Ageing characterization of Balsamic Vinegar of Modena (BVM) and Traditional Balsamic Vinegar of Modena (TBVM) by the combined use of Nuclear Magnetic Resonance spectroscopy (NMR) and multivariate statistical analysis. Our database allows to differentiate BVM from TBVM samples. Moreover, within BVMs, samples with ageing <3/>3 years can be discriminated and within TBVM, samples with ageing between 12 and 25 years as well as >25 years can be discriminated.
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 - 10 of 10
Combined use of High-Resolution Nuclear Magnetic Resonance spectroscopy (NMR) and multivariate statistical analysis for the differentiation of PDO Parmigiano Reggiano samples according to ripening and for the differentiation of PDO Parmigiano Reggiano from “Grana type” products available on the market.
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.
Characterization of authenticity of honey by the combined use of high resolution Nuclear Magnetic Resonance spectroscopy (NMR) and multivariate statistical analysis. Particularly, based on our database, different characterization involving authentication assessment, like botanical or geographical origin determination are possible. Moreover, it is possible to detect saccharides addictions like inulin, corn/malt syrups, and inverted sugar. Finally, it is possible to distinguish the Italian biological honey from the conventional one.
Lifeshell is an anti-seismic furniture construction concept, which can be used for making wardrobes, tables, desktops, beds. It’s made by timber based panels: highly resistant and flexible, relatively lightweight and inexpensive. Lifeshell benefits from the natural wood elasticity and from smart connections for dissipating the great impact energies occurring during an earthquake. Lifeshell has been designed for resisting partial building collapses, and to provide a safe shell where inhabitants can find refuge.
We propose a compact innovative spectroscopy system operating in the UV range. In the actual version, designed for gas, it exhibits: an aluminium tubular optical chamber (length can be adjusted; currently is 20 cm); a cheap commercial UV LED; a SiC visible blind UV detector designed and manufactured at the CNR-IMM facilities. The team developed also the electronic chain for wireless remote real time read out; while able to deal with pA current levels, it uses very cheap components and construction technology.
NANOINCICLO is a technology based on the use of nanostructured cyclodextrins (CDs) for the targeted delivery of drugs such as anticancer drugs, photodynamic drugs, anti-inflammatories, antivirals, antibacterials, nutraceuticals and metals with therapeutic and diagnostic properties. Successful CDs for the proposed technology are FDA-approved or in advanced pre-clinical investigational stage and include natural and functionalized, polymeric, and amphiphilic monomeric CDs.
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.
High-Resolution Nuclear Magnetic Resonace (NMR) in solution also combined with multivariate statistical analysis to determine the quality and authenticity of saffron. Particularly the content of components (metabolites) is evaluated.
This form describes a programmable, autonomous and stand-alone imaging system for the acquisition and processing of images containing subjects whose size is larger than 1cm (e.g. gelatinous zooplankton, fishes, litter, manufacts), form the seafloor or along the water column, in shallow or deep waters. It is capable to recognize and classify the image content through pattern recognition algorithms that combine computer vision and artificial intelligence methodologies.