The compact-GC platform is a MEMS-based analytical module for the purge&trap pre-concentration and (gas)-chromatographic separation of a sample. The two analytical MEMS (pre-concentrator and GC column) are interconnected by means of a MEMS microfluidic manifold. The microfluidic manifold interconnects the analytical MEMS, but it also acts as injector through the integrated micro-valves.
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
Molecular doping (MD) is a doping method based on the use of liquid solutions. The dopant precursor is in liquid form and the material to be doped is immersed in the solution. During the immersion process, the molecule containing the dopant atom is deposited on the surface of the material forming a self-assembled monolayer, that is, ordered and compact. Through a subsequent heat treatment, the molecule decomposes and the dopant diffuses.
Plants have a huge potential to contribute to the solution of a large number of issues facing the modern world, ranging from a poor crop yields and problems caused by global climate changing. Our team has been on the forefront of the PCR and NGS applications to plant responses to biotic and abiotic stress. As experts in genomics and plant pathology we are able to accelerate the understanding and use of plant genes and resources.
Anthocyanins are antioxidant polyphenolic pigments produced by plants that are widely used in the food, cosmetic and pharmaceutical industries. The technology allows to obtain in a short time potato cell lines in which the production of highly acetylated and highly complex anthocyanins is increased in addition to other antioxidant polyphenolic compounds. The obtained cellular lines have a high production efficiency, comparable to the extraction of berries, but with the advantage of having an on-demand production which is not limited to seasonality.
Lifeshell is an anti-seismic furniture construction concept, which can be used for making wardrobes, tables, desktops, beds. It’s made by timber based panels: highly resistant and flexible, relatively lightweight and inexpensive. Lifeshell benefits from the natural wood elasticity and from smart connections for dissipating the great impact energies occurring during an earthquake. Lifeshell has been designed for resisting partial building collapses, and to provide a safe shell where inhabitants can find refuge.
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.
The present technology deals with jewels based on shape memory alloys and fabricated through additive manufacturing. In ICMATE-Lecco laboratories, several NiTi-based rings have been fabricated through a powder bed fusion technology (selective laser melting technique).
IMM has developed tactile sensors for the detection of objects and surface and for the handling of objects with humanoid robots (e-skin). These devices can be integrated on ultra-flexible and high conformable substrates and they can be used for multiple applications: 1) for a correct interaction with objects distributed in complex environment; 2) for a safe short-range interaction between humanoid robot and humans; 3) for fabricating smart wearables for the detection of biometric parameters (e.g. heartbeat); 4) for remotely control rovers with wearable gadgets.
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.