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.

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.

In the last years, genetics played a strategic role in the identification of therapeutic targets for complex diseases. Genetic studies identified thousands of variants contributing to disease onset and/or to the influence of measurable features (phenotypes) impacting health. The mechanism of action by which they modulate diseases and phenotypes is still unknown for the vast majority.

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:

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.

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.

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.