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
Acquisition and pre-processing of signals for model identification
Analysis of the physical, rheological, chemical, microbial, and sensorial properties during storage
Analytical tests for shelf-life characterization
Biomarker identification to assess the effects of bioactive components in humans
Continuous-time and discrete-time mathematical modeling of systems and processes
Definition of product specifications and analytical methods of verification
Design of experiment (DoE) and Food Design to study interaction between formulation and process conditions
Discrete events mathematical modeling of systems and processes
Effects of industrial processes on the nutritional qualities of foods
Evaluation of dietary habits of the population in order to identify risk behaviours and prevention strategies
Evaluation of the interactions between food matrix and bioactive components
Evaluation of the organoleptic characteristics of food bioactive components and related food
Evaluation of the physical, chemical, and microbial characteristics of products
Experimental studies of formulations and processes: use of bioactive components from out-streams or by-products
Extraction of bioactive components from food waste (polyphenols, omega3 and omega6 fatty acids)
Finite element simulation (FEM)
Formal languages for systems modeling (Unified Modeling Language-UML and SysML-System Modeling Language)
Functional compounds characterization from raw materials, ingredients, food and food industry left-overs
Human studies for the validation of nutritional/health claims (including analysis of biological samples and statistical analysis of the results)
Identification of models and parameters estimation
Improvement of process efficiency for saving direct and indirect costs
Infinite-dimensional mathematical modeling of systems
Input-output correlations to assess operational parameters
Lab trails and scale-up to pilot plants of experimental production diagrams; check of the physical, chemical and sensorial characteristics
Market survey and consumer trends towards functional foods
Mathematical modelling for product/process optimization
Microbial kinetics during food storage
Modeling of the collision of bodies in mechanical systems
Monitoring of chemical, physical, and biochemical characteristics (enzymatic activity and kinetics) during storage
Non-conventional thermal and non-thermal technologies for product stabilization, extraction, and conservation
Non-parametric modeling (neural networks, etc.)
Numerical simulation to define process-product interaction
On-line product control feasibility for process optimization
Operator practical training for process control and lab tests
Optimization of processing conditions by desing of experiments (DoE) for product development
Optimization of raw material selection for food processing/products
Packaging, designing and testing: choice of the proper materials for the desired product
Packaging, designing and testing: shelf-life evaluation of food products and bioactive components
Preparation of the nutritional/health claims application
Product processing design: algorithms for automatic predictive control