Technologies

The Nikon reference centre at IBPM ( www.imagingplatformibpmcnr.it ) is a microscopy platform for high resolution imaging of fixed samples and live cells (time-lapse video recording, both wide field and confocal spinning disk). Multimodal (fluorescence and transmitted light) and multidimensional (in x,y,z, 4 wavelengths, over time) acquisition modes are in place.

NIRS is a non-invasive technique for the human brain cortex imaging based on the measurement of the NIR light emitted by suitable optical sources placed on the patient head and backdiffused to the surface after passing through the brain tissues. NIRS monitors the percentage of oxygenated and reduced hemoglobin  in the blood, and it allows the real time functional imaging of the brain cortex also in tomographic mode (Diffuse Optical Tomography - DOT).

The herein described technology aims at the development of a platform of injectable hydrogels for application as drug carriers for localized delivery or in the regenerative medicine field. The use of ad-hoc synthesized poly(ether urethane)s (PEUs) as hydrogel forming materials is a common property which characterizes all the systems belonging to this platform.

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.

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 procedure enables the fabrication of nanocomposite membranes filled with suitable amounts of exfoliated bidimensional crystals. These are obtained with an advanced wet-jet milling technique, which provides desired thickness and lateral size of nanofillers through the pulverization and colloidal homogenization of bulk nanomaterials. The bidimensional crystals are dispersed in fluids and suitably delivered inside polymeric matrixes exhibiting a singular morphology.

We have identified the presence of the poorly characterized precursor proNGF-A in human tissues, deposited its coding nucleotide sequence (GenBank MH358394) and demonstrated its neuroprotective and neurotrophic activity in vitro and in vivo. We inserted mutations into the native molecule, identified through computational analysis, which allow proNGF-A production by eukaryotic expression systems, through a method currently validated on a laboratory scale.

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.

Solid State Nuclear Magnetic Resonance spectroscopy (SSNMR) is today one of the most powerful techniques for characterizing solid and soft materials and systems. This spectroscopy allows the detailed characterization of structural and dynamic properties over large spatial (0.1-100 nm) and time (10²-10^-11 s) scales. Accessing these properties allows a deep knowledge of a material to be obtained and  its design and optimization to be oriented.

The systems simulate, with high reproducibility, the conditions that occur in the different compartments of the gastrointestinal tracts and are promising to accurately mimic the digestive process, with the possibility to evaluate bioaccessibility and bioavailability. Moreover, the systems permit to study the synergic and reciprocal effects between the bioactive compounds characteristic of food and intestinal microbiota.

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 full face mask adapts to the face of the user; it is used in the medical field where there may be close contact between a patient and a doctor and in all those areas of possible social overcrowding that, in case of a pandemic, may lead to the spread of a virus. To date, as the main means of containment and prevention of infection, are used masks made of fabric or equipped with filter that adhere to the face of the user in order to shield nose and mouth and / or filter the air inhaled and / or exhaled by the user.

SITODIET is an innovative software that supports a translational approach to health’s state. It integrates various sources of physiological, behavioral, and psychological data to reduce the risks associated with the onset of lifestyle-related diseases (primary prevention), to support health professionals in early diagnosis (secondary prevention) or to manage the personalized therapy’s patient (tertiary prevention). SITODIETcollects data automatically, through actigraphy tools, as wristband or smartwatch, or manually

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.

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.