Technologies

The technology, developed by CNR-ICB, is based on an innovative bioprocess called "Caphnophilic (CO2-requiring) Lactic Fermentation (CLF)”, developed in the hyperthermophilic bacterium Thermotoga neapolitana (EP patent: EP2948556B1), which allows the production of "green" hydrogen and capture and valorization of CO2 in L -lactic acid (98% e.e.).

A virtuous multi-step biorefinery platform to convert urban biowaste into valuable molecules, not disregarding renewable energy and digestate production. The strategy is based on the integration of a thermal pretreatment capable of significantly increasing the fraction of fermentable organic carbon, in order to furthermore change the status of the feedstock to become more suitable for production of a) high-value bio-based molecules, b) biomethane and c) hygienized digestate to be recycled as biofertilizer.

The object of the technology is the development of a transferable methodology from the laboratory scale to the pilot scale to be validated in the industrial setting for the treatment of basic waste of natural polymers of agro-food or manufacturing industry.

The  invention relates to the water purification sector; it refers to a phytodepuration module and to a plant including this module. The objective is decontamination and recovery of drinking water from contaminated springs and wells, thermal, rainwater, wastewater and industrial wastewater. Phytodepuration tanks are known which use ferns to decontaminate water, but have the limits of requiring large surfaces and / or long treatment times.

The study of proteins is typically limited to notions, sometimes with the aid of virtual 3D models, obtained from visualization programs. A knowledge of this type, although useful, limits the ability to acquire a more direct knowledge, almost never leads to awareness of dimensions, and is particularly difficult for those who do not have a strong capacity for three-dimensional imagination.

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.