Technologies

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.

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.

The final technology will add polarimetric capability to imaging cameras in the NUV/optical, providing simultaneous measurements of the different polarization states of the light. This will be obtained by the development of an innovative coating based on nanostructured emissive materials sensitive to the polarization of the incident light. A  double layer film of two organic systems will be coupled to image detectors so that the two polarization components of the incoming light are converted into two different colors.

Our proposal consists in a quantum sensor based on a superconduc:ng resonator. The working principle is based on the exponential growth of the susceptibility in proximity of a critical phase transition, where the system quickly switches from the vacuum state to a strong emission of easily detectable microwave signals, in response to extremely weak electromagnetic signals. The sensor can detect microwave and radiowave signals, with single-photon resolu:on.

The present invention relates to a gamma camera for intracavitary use, which is widely used in the field of radio-guided surgery (intra-operative and laparoscopic and robotic-assisted) for the localisation of lymph nodes and tumours and/or other pathologies. The aim of the present invention is to make available an intraoperative tool able to overcome the drawbacks of the present known art.

The virtual dynamic docking, carried out in the MOLBD3 lab of the Institute of Biophysics, allows the identification of new drugs through the structural information deriving from the study of target proteins, responsible for some human pathologies. In particular, we screen drugs or small molecules (commercial/own libraries) against known protein sites, surface cavities, surfaces of protein-protein interactions (fixed/rigid hotspots) or structural transition states (dynamic hotspots).

Inert biomedical devices with modular load-bearing function designed with peculiar multi-domain composite microstructures. The reference compositional system is Zirconia-Alumina with a prevailing overall composition of customizable zirconia or alumina. Examples of devices are 3D structures consisting of parts with differentiated functional properties, due to different composition/microstructure/architecture, and further functionalizable ex-post to favor and improve the stabilization of the implantation by newly formed bone in superior quantity and quality.

The proposed technology takes advantages of the huge potentialities of the gellan gum microgels in the preservation of cultural heritage. Microgels are polymeric gels particles with the micro and nanoscale size, whose soft nature is due to the presence of the aqueous solvent inside the particle. For their small size, they can easily diffuse in the environment and penetrate in the porous structure of paper and wood to act as cleaner agent.

Combined use of High-Resolution Nuclear Magnetic Resonance (NMR) spectroscopy in solution and multivariate statistical analysis for the geographical differentiation of Italian and Chinese concentrated tomato paste. Particularly the metabolites content of acqueos exctrats of concentrated tomato paste is evaluated.

VisLab laboratory of IMM possesses a latest generation Raman micro-spectroscope equipped for vibrational measurements with high spatial and spectral resolution, at controlled temperature and in fast-imaging. The apparatus can be used to collect information and chemico-physical maps without the need for sample preparation and alteration, therefore for non-destructive studies and in operating conditions.

The platform HistoPlat implies the development and validation of a mathematical algorithm, potentially combinable with an image analysis software, that, through a multiparametric approach including the immunohistochemical analysis of both expression and localization of multiple markers, allows the histopathologist or oncologist to optimize the diagnosis and prognosis, and to predict the clinical response to therapies directed towards validated and/or innovative molecular targets, also taking into account the individual variability of each pati

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.

In the last years, hop culture has spread throughout Italy, and the vegetative biomass disposal, after harvesting of cones, used for beer production, became a serious problem for hop growers. Hop plant contains in all parts, cones, shoots, leaves and roots, bioactive compounds, with proven and important antiviral, antibacterial and antioxidant properties.

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).

Mergers e Acquisitions represent important forms of business deals because of the volumes involved in the transactions and the role of the innovation activity of companies. By considering the patent activity of about one thousand companies, we develop a method to predict future acquisitions by assuming that companies deal more frequently with technologically related ones.