Technologies

A biosensor based on magnetic microspheres functionalized with a DNA-aptamer was developed for the specific biomonitoring of biological contaminants (mycotoxins) in urine.

CNR-ISTEC develops geopolymer composites for thermostructural applications, such as: self-supporting cavities; thermal and acoustic insulation; thermal and fire barriers; high temperature coatings and damping; molds and cores for foundry; foams and refractory linings. Geopolymers are chemically bonded materials at T <300 ° C. Being inorganic polymers without water in the structure, they tolerate high temperatures: they are incombustible, do not emit gas or fumes and do not explode.

The proposed technology is based on the micro-fabrication of electrodes in order to generate surface acoustic waves (SAW) with well-defined frequencies, on piezoelectric substrates. The operating principle of a surface acoustic wave sensor is linked to the variation of the characteristics of the acoustic wave that propagates on the device (e.g. wave velocity on the substrate, etc.) caused by the interaction with the environment (e.g. interaction of an analyte on the surface of the device, deformation of the substrate, etc.).

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).

Anthocyanins are antioxidant polyphenolic pigments produced by plants that are widely used in the food, cosmetic and pharmaceutical industries. The technology allows to obtain in a short time potato cell lines in which the production of highly acetylated and highly complex anthocyanins is increased in addition to other antioxidant polyphenolic compounds. The obtained cellular lines have a high production efficiency, comparable to the extraction of berries, but with the advantage of having an on-demand production which is not limited to seasonality.

The technology based on cell or tissue cultures is very useful for the production of bioactive compounds. These molecules, depending on the class they belong to, can be used in the food, pharmaceutical and cosmetic industry. In particular, the developed technology is addressed to the optimization of bioactive compounds in plant cell/tissue cultures having the biosynthetic pathway of the compound of interest.

Detection devices for the presence of molecules of interest (analytes) enjoyed a renewed burst with the introduction of biological components (biosensors). Their high specificity is often used in various fields, from environmental monitoring and biomedicine to the protection and promotion of agri-food products. However, the high cost of production and the lack of compatibility with mass sampling (high-throughput) sometimes limit their use.

Mirrors for space applications, besides featuring suitable optical properties, should be light, resistant to mechanical stresses, and unsensitive to light-shadow thermal cycling. The standard optical materials easily fulfill optical and thermal requirements, but are fragile, and the mirrors must be thick (typically 1/6 of the diameter). For this reason they are heavy, and the only available solution is to lighten them, by removing material from the back side, still preserving the necessary mechanical robustness and optical quality.

We have identified compounds that show a neuroprotective action in vivo, in models of neurodegenerative diseases (e.g. SMA, Parkinson, Alzheimer, Huntington) in the model organism C. elegans. These compounds consist of: mixtures of 22 natural extracts, 15 natural molecules and 11 synthetic molecules.

Plants can compete favorably with traditional expression systems (mammalian cells, yeasts or bacteria) to produce recombinant proteins/peptides of pharmaceutical/industrial/agrifood interest. This technology names “Plant Molecular Farming”. The CNR-IBBA research team offers the study of new strategies for the expression and optimization of recombinant proteins/peptides in plant-based systems (plant tissues, transgenic plants, plant cell culture). Our pipeline is based on the following modules:

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.

AIS aim is a robotized inclinometer measurement in standard inclinometer boreholes. The deep measurements have multiple applications, including: evaluating the rate of deep-seated ground deformation in landslide areas, evaluating the volume of deep-seated landslides and assessing landslide hazards. The AIS is composed by an electronic control manager, an inclinometer probe and an electric motor equipped with a high precision encoder for handling and continuous control of the probe in the borehole.

The invention concerns an apparatus for measuring the three-dimensional (3-D) sea surface elevation from moving and floating platforms. In particular, the invention consists of two or more synchronized digital video-cameras that frame, from distinct and remote points of view, a common portion of the sea surface. A triangulation process makes it possible to obtain a three-dimensional reconstruction of the sea surface from these images. The invention is particularly suitable for measuring sea waves.

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.

The working principle of VTTJ is extremely simple. Two parts (at least one with tube shape) are screwed one into the other with a mechanical interference that creates a metallic seal. One part presents a cylindrical slot, the other presents a conical ring, whose diameter is slightly larger than the one of the cylindrical slot. When the two parts are screwed together, a plastic deformation occurs in the mechanical interference region.