Technologies

The platform allows the deployment of a sensor network with peripheral nodes spread on the crop fields or on the environment for the monitoring of crop parameters/environmental parameters. The network architecture integrated LoRa peripheral nodes for short-medium range communication and star-center NB-IoT based for long range communication. It includes a web server and MySQL database for data storage and visualization. The network architecture is scalable to adapt to the area to monitor.

This technology describe the synthesis of cross-linked polymeric materials in the form of macroporous gels based on poly (2-hydroxyethyl methacrylate), capable of sequestering the anticoagulant heparin from aqueous solutions, physiological solutions and biological fluids. They are morphologically elastic and mechanically stable materials, and show high specificity and selectivity for heparin as demonstrated by the negligible adsorption of specific blood proteins such as antithrombin III, albumin and total proteins.

The invention is a synthetic method to prepare colloidal nanomaterials of V-VI-VII semiconductors that do not contain toxic elements. This is the first method for the synthesis of mixed anion nanomaterials without toxic elements at large, which permitted to obtain, among others, bismuth chalcohalide nanocrystals that are arguably considered as one of main candidates to be the next big thing for light energy conversion.

The prototype uses soil moisture sensors which, through a measurement of dielectric permittivity, estimate the soil moisture based on which irrigation is started through relay-controlled solenoid valve. The system was developed using Open Source technologies. Specifically, for the hardware components, a small sized board computer Raspberry PI 3B + was used together with a 4G LTE Wi-Fi router and a Modbus rs485 / USB converter.

Recently, it has been demonstrated that Raman spectroscopy can play a fundamental role in assisting the work of the anatomopathologist by allowing classification of oncological samples with practically 100% accuracy in oncological diagnosis.

SITODIET is an innovative software that supports a translational approach to health’s state. It integrates various sources of physiological, behavioral, and psychological data to reduce the risks associated with the onset of lifestyle-related diseases (primary prevention), to support health professionals in early diagnosis (secondary prevention) or to manage the personalized therapy’s patient (tertiary prevention). SITODIETcollects data automatically, through actigraphy tools, as wristband or smartwatch, or manually

Environmental contamination is a prominent topic. Where the exposure to contaminants such as heavy metals (HMs) or polycyclic aromatic hydrocarbons (PAHs) is greater, the incidence of chronic degenerative diseases, such as oncologic, is increased. Scientific evidence reports that some phytochemicals are able to interact with HMs and PAHs by interfering with their cellular metabolism, inhibiting their cytotoxic mechanisms or helping to reduce tissue concentrations.

The proposed technology is about the development of an innovative sunscreen obtained from cod fish bones, according to the principles of the circular economy. The sunscreen is a reddish powder, which is constituted of hydroxyapatite (a calcium phosphate main component of human bones) modified with iron. It is prepared with a simple and easily scalable process (treatment of the bones in Fe solution and successively at T = 700 oC) and could be adapted for bones of other fishes. 

EXPO is a software for the determination of the atomic structure of various materials (organic, metallorganic, inorganic), available in the form of microcrystalline powders, in order to derive the structure-property relationships. EXPO requires the molecular formula of the material, the experimental X-ray diffraction data and, in some cases, the expected molecular geometry.

QUALX is a software for qualitative and semi-quantitative phase analysis of materials (organic, metallorganic, inorganic), available in the form of microcrystalline powders. It uses a database distributed together with the software. QUALX identifies the crystalline chemical phase, one or more of than one, present in a material and determines approximately the weight percentages of each phase present in a mixture.

The substitution of fossil derived monomers in thermosetting resins is a very important point to look at to face environmental impact issues related with the use of traditional resins. The research group set up a protocol for the preparation of thermosetting resins starting from vegetable oils with different composition to substitute the petroleum-based monomers. The materials obtained in this way have a bio-based carbon content higher than 80%.

The technology is intended to face the main problems of transmucosal dental implants, such as peri-implant mucositis, peri-implantitis and epithelial downgrowth. The strategy foresees the development of a surface able to favor soft tissues growth (gum sealing), limit at the implant collar these tissues, reduce bacterial adhesion and eventually have an antibacterial action.

Our team can develop low-cost ultra-flexible sensors integrated on plastic substrate for volatile organic compounds (VOCs) and gas detection. These devices combine scalable fabrication technologies, implementing active materials such as nanostructured metal oxides or stack of nanostructures decorated with metal nanoparticles, thus enabling a high sensitivity (in the range of hundreds of ppb). These devices can be applied to numerous industrial and commercial sectors and they can be embedded in systems that are more sophisticated.

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.

We present a technology for the multiscale isolation (analytical-laboratory-production) of Extracellular Vesicles (VE), which overcomes the limitations of the currently available methods. As opposed to traditional "affinity-based" systems that exploit antibodies, our technology represents a radical paradigm shift in the development of affinity probes for vesicles, i.e.