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.
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 - 9 of 9
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.
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.
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.
Combinations of several enzymes in a production chain are preferred to “first generation” enzymatic processes (where the "single reaction - single enzyme" principle was followed), for the synthesis of compounds with high added value starting from simple and cheap substrates. An important requirement for obtaining control in "cascade enzymatic reactions" is the ability to deliver from one biocatalyst to the next one the various intermediates, limiting as much as possible the diffusion of the latter in the solvent.
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.