Technologies

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.

The environment as well as the food production provide a number of both natural and synthetic compounds whose effects on human being as an organism have not yet been determined nor investigated.

We developed an hybrid organic-inorganic composite consisting of a 2D perovskite and a copolymer. At room temperature the composite is highly transparent in the visible region with transmittance > 90%. At higher temperatures, the movement of the polymer chains releases the precursors, allowing the perovskite formation, which results in a colored film. The color changes according to the ‘n’ value of the PVK. PVK with n=1 starts coloring at 70°C, achieving a ∆T_max = 91.5% at 510 nm.

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.

High-Resolution Nuclear Magnetic Resonace (NMR) in solution also combined with multivariate statistical analysis to determine the quality and authenticity of saffron. Particularly the content of components (metabolites) is evaluated.

To the enterprises working in the field of nutrition/nutraceutics and drug development/repositioning, we offer the know-how and state-of-the-art instrumentation of our labs to monitor multiple relevant biological parameters at the cellular level: metabolic activity, vitality, health, but also stress and toxicity. The use of advanced imaging techniques based on fluorescent/bioluminescent probes together with the availability of time-lapse acquisitions, guarantee the cutting-edge analysis of different biological parameters over time.

Wine is one of the economically most important beverages and may be subject to fraud and mislabelling, although that there are specific and strict rules protecting its authenticity in Europe. Single Nucleotide Polymorphisms (SNPs), recently identified and characterized thanks to advances in genomics, are considered the newest type of molecular marker for grapevine identification.

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.

Grape pomace, a by-product of wine-making, is rich in polyphenols, metals, organic acids and can become a functional ingredient in food and beverage. The stabilisation of the pomace has been optimised to preserve the anti-inflammatory and antioxidant properties of the molecules present. Isolated grape skins have been reused in purity or in blends with other plant components as a base for: 1) herbal teas, 2) ready-to-drink functional beverages, 3) freeze-dried products.

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%.

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.