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.
Technologies
In this section it is possible to view, also through targeted research, the technologies inserted in the PROMO-TT Database. For further information on the technologies and to contact the CNR Research Teams who developed them, it is necessary to contact the Project Manager (see the references at the bottom of each record card).
Displaying results 1 - 8 of 8
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).
Uniform coverage with porous layers over extended surfaces is beneficial for many purposes. Depending on the nature/composition, thickness and interfaces of the layer, this kind of special coverage can assure pivotal properties such as transparency, bendability, high surface reactivity, intermixing capability. In the long list of desired porous materials, transparent oxides find application in the fields of Photovoltaics, Sensing, Photocatalysis, Water Purification and Splitting, Lithium Batteries and many more.
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.
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.
The software is based on mathematical models able of simulating the time evolution of the different stages of a pest population starting from environmental data collected from weather stations located in an area of interest and information regarding the development stage of the host plant. The models are of two types: phenological, which provides information on the stages population as a function of time and demographic which also allows to know the abundance of each population stage.
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.
Safe, efficient and specific nano-delivery systems are increasingly needed for precision and regenerative medicine and targeted therapies (e.g. anticancer and antimicrobial therapies), as well as for the cosmetic and nutraceutical sectors’ applications. Despite the appreciable success of synthetic nanovectors, like for example liposomes, their clinical and market application is hampered by some limitations: • large scale production, • low cost production • intrinsic toxicity • limited cellular uptake • limited consumer acceptance.