Technologies

Ageing characterization of Balsamic Vinegar of Modena (BVM) and Traditional Balsamic Vinegar of Modena (TBVM) by the combined use of Nuclear Magnetic Resonance spectroscopy (NMR) and multivariate statistical analysis. Our database allows to differentiate BVM from TBVM samples. Moreover, within BVMs, samples with ageing <3/>3 years can be discriminated and within TBVM, samples with ageing between 12 and 25 years as well as >25 years can be discriminated.

Combined use of High-Resolution Nuclear Magnetic Resonance spectroscopy (NMR) and multivariate statistical analysis for the differentiation of PDO Parmigiano Reggiano samples according to ripening and for the differentiation of PDO Parmigiano Reggiano from “Grana type” products available on the market.

The insertion of executable programs within QR codes is a new enabling technology for many application contexts in everyday life. Every time Internet access is unavailable, QR code usage is limited to reading the data it contains without any possibility of interaction.

VisLab laboratory of IMM possesses a latest generation Raman micro-spectroscope equipped for vibrational measurements with high spatial and spectral resolution, at controlled temperature and in fast-imaging. The apparatus can be used to collect information and chemico-physical maps without the need for sample preparation and alteration, therefore for non-destructive studies and in operating conditions.

We developed a procedure aimed at simultaneously treating thousands of C.elegans model organisms, from eggs to old adult, in liquid, in 96- or 384-well plates. This procedure can be used to perform drug and toxicological screening of millions of compounds, in very small volumes and on millions of animals. Thanks to easy handling, semi-automatic analysis can be performed using plate readers or High Content Screening instruments.

Characterization of authenticity of honey by the combined use of high resolution Nuclear Magnetic Resonance spectroscopy (NMR) and multivariate statistical analysis. Particularly, based on our database, different characterization involving authentication assessment, like botanical or geographical origin determination are possible. Moreover, it is possible to detect saccharides addictions like inulin, corn/malt syrups, and inverted sugar. Finally, it is possible to distinguish the Italian biological honey from the conventional one.

Our idea come from the improving of the traceability technique in agro-food fisheries industries through the application of omics technologies in microbiota studies.  These latter would be capable of exploiting the huge pool of biological molecules contained in fishery resources (e.g. nucleic acids, proteins, metabolites) and use them as a powerful tools for the identification and reconstruction of fishery history, from the sea to the table.

The NanoMicroFab infrastructure, support companies operating in the field of micro and nanoelectronics through the supply of materials, development of processes, design, fabrication and characterization of materials and devices. NanoMicroFab makes use of existing CNR facilities of the Institute of Microelectronics and Microsystems, the Institute of Photonics and Nanotechnologies and the Institute for the Structure of Matter and provides: • a complete line of development of devices based on wide band gap semiconductors.

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 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.

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.

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

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.