Database providing access to the High Technology Network's industrial research offering: research competences, type of analyses and tests available at the Laboratories. Companies can consult the Catalogue to find Laboratories and researchers that match their needs.
Competence
Analysis of chemical compositions and qualitative characteristics of lipid fractions of pig carcasses and thighs
Analysis of grape, fruits and food processing left-overs
Analysis of standards and regulations: laws and guidelines for protected, typical and biological raw material
Business Process Modeling and Management
Chemical and chemo-physical analysis on meat and vegetal products
Cognitive networks
Combinatorial optimization
Design of new molecular markers for assisted selection (MAS) for vegetal products
Determination of the protein variation during product processing (i.e. dairy and meat products)
DNA samples: preparations and conservation from vegetal materials and plants
Evolutionary computing
Expert systems and logic programming
In silico evaluation of potentially xenoestrogenic compounds
Intruments and services for precision agriculture
Kits for the determination of contaminants, pesticides and pathogens in raw materials
Linear and nonlinear optimization
Machine learning
Molecular DNA analysis of vegetal materials
Neural networks and Cellular automata
On-farm rapid methods for quality assessment of dairy and meat products
On-line bank "Cerealab" as informatics instrument to support assisted selection (MAS) for vegetal production
Production of new vegetal products (populations, lines, new varieties) with peculiar characteristics by marker assisted selection (MAS)
Quality assesment of milk and meat
Rapid non-destructive methods for the optimization , characterization, and monitoring of raw material and finished products
State Space Observers
System monitoring and fault detection
Systems modelling and simulation
Technological strategies for the imporvement of organoleptic and nutritional properties of raw materials strategies
Transformation potential of oenological raw materials (grape, musts, etc.)
Varietal comparison of wheat and rice collections