Technologies

This proposal focuses on the preparation of biocoatings enriched with varying percentages of mint essential oil nanoparticles, followed by their application to potato tubers to limit sprouting and control the development of alkaloids, particularly solanine, a toxic substance for the body.

The compact-GC platform is a MEMS-based analytical module for the purge&trap pre-concentration and (gas)-chromatographic separation of a sample. The two analytical MEMS (pre-concentrator and GC column) are interconnected by means of a MEMS microfluidic manifold. The microfluidic manifold interconnects the analytical MEMS, but it also acts as injector through the integrated micro-valves.

The containers for plants and the like have different shapes, an open top to facilitate irrigation and material supply; a base that includes one or more holes to facilitate proper water drainage and to ensure ventilation for the rooting apparatus. An inconvenience of these containers is related to their placement in outdoor environments without roofs: in the presence of "unfavorable" climatic conditions, excessive exposure to rain water rather than excessive exposure to the sun, these containers expose plants to a series of problems.

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.

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.

The proposal concerns the development of the G.A.T.CD4 (Gliadin-activated CD4+ T cells) method which allows, in peripheral blood, the identification of CD4+ T lymphocytes reactive to toxic peptides of gliadin, the main gluten protein of cereals.

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.

Celiac disease and non-celiac gluten sensitivity affect a large portion of the world population. Furthermore, the percentage of people who adopt the gluten free diet is constantly increasing because it is perceived to be healthier. We have previously developed a food grade enzymatic procedure (transamidation) for wheat flour capable of making gluten unable to induce the inflammatory response in the intestine of celiac disease patients.

The technology concerns planar optical antennas composed of thin metal films and dielectric materials for the efficient direction of the light emitted by light sources, such as fluorescent molecules and bio-markers. They consist of a reflector layer, adjacent to the substrate, and a director, semi-reflective, between which the emitter is positioned, integrated into a homogeneous dielectric layer.

Currently, liposomes (artificially synthesised vesicles) are widely used as carriers for a variety of molecules in the cosmetic and pharmaceutical industries. In the clinical applications, for instance, they are employed to encapsulate a range of substances, such as antibiotics, proteins, genetic material, vitamins and anti-cancer drugs.

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.