Electrochemical biosensor for detection and quantification of alkylphenols
Fast, efficient and accurate method for the quantification of alkylphenols (APs). These sensors are based on a network of single-walled carbon nanotubes functionalized with a highly specific anti-AP antibody, which is at the core of the AP quantification reaction. This quantification is determined as a function of the changes in the electrical current, which varied according not only to the presence of absence of these com-pounds, but also in proportion to their concentration.
Diamondlike coatings for optical systems, medical devices, automotive industry
At the university (Novosibirsk) the technology of diamondlike coatings is developed for optical systems in the wide range of IR-optics. Coatings have high adhesion to a variety of substrates and are suitable for application as medical antibacterial coverings, a friction reducing coating with a low friction coefficient, antirust coats. The laboratory looks for partners for technical cooperation and technology licensing.
HYDROLYSATES WITH DPP - IV INHIBITORY ACTIVITY
The invention relates to a method for obtaining an enzymatic hydrolysate with dipeptidyl peptidase IV (DPP-IV) inhibitory activity, antihyperglycemic effect and inducer of glucagon-like peptide 1 (GLP-1) secretion from animal by-products, particularly chicken feet.
Clay-Polymer Sorbents for the Removal of Organic Pollutants from Water
Clay-Polymer Sorbents for the Removal of Organic Pollutants from Water Project ID : 8-2012-2876
Production method of a new recombinant collagenase for collagens digestion
Method for obtaining collagenase with high collagenolytic activity, through a process based on recombinant DNA technology. This new process enables collagenase purification e isolation through a simple and economical procedure, obtaining an active enzyme with remarkable storage stability.
Co-simulation and simulation model connection software, real-time enabled
We can provide a commercially available co-simulation environment connecting 20+ simulation software products with arbitrary sensors. The technology is real-time enabled. We search for companies in the manufacturing industry which would like to make use of this technology to build up a digital manufacturing twin for efficient ramp-up and predictive maintenance incorporating methods of machine learning and artificial intelligence. We aim at starting a funded research project with several use cases to develop this digital manufacturing twin in relevant industrial environments.
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