Ziel
"Most analytical techniques used in quality control require isolation of the food component of interest. The original properties of the product are, therefore, destroyed during sample preparation and analysis. Oftentimes, such analyses are expensive, time consuming, and require sophisticated instrumentation, and hence are not suited for ""on-line"" quality control of food products. For on-line sensors, many physical principles have been checked, yet very few sensors having a meaningful correlation with some quality property are available. Fluorescence spectroscopy has demonstrated a strong potential to be utilized as a rapid and nondestructive technique to study food quality. The utilization of chemometric tools in interpretation of the spectral data obtaine d allows describing important, but immeasurable properties of the system hidden in the band position, the band intensities and the band width. The objective of this project is to develop and validate a generic method based on a miniature laptop spectroflu orometer for at/on-line nondestructive and noninvasive analysis of food properties and quality attributes. The following tasks have to be accomplished to achieve the goal of the project: evaluate the main intrinsic fluorophores of dairy products, fish, and meat; investigate the correlation of fluorescence of the intrinsic fluorophores with the quality parameters of interest; develop models for the prediction of the food property and quality from spectral data using chemometric tools. The project will result in the novel nondestructive and noninvasive techniques to facilitate determination of the dynamic state of food processes on-line and in real-time. These techniques also determine food safety and quality attributes of foods to enable food manufacturers to produce food products with consistently high quality and greater consumer acceptance. "
Wissenschaftliches Gebiet
CORDIS klassifiziert Projekte mit EuroSciVoc, einer mehrsprachigen Taxonomie der Wissenschaftsbereiche, durch einen halbautomatischen Prozess, der auf Verfahren der Verarbeitung natürlicher Sprache beruht.
CORDIS klassifiziert Projekte mit EuroSciVoc, einer mehrsprachigen Taxonomie der Wissenschaftsbereiche, durch einen halbautomatischen Prozess, der auf Verfahren der Verarbeitung natürlicher Sprache beruht.
- natural sciencesphysical sciencesopticsspectroscopyemission spectroscopy
- engineering and technologyother engineering and technologiesfood technologyfood safety
- engineering and technologyelectrical engineering, electronic engineering, information engineeringelectronic engineeringsensors
- natural sciencesbiological scienceshistology
- natural sciencescomputer and information sciencesdata sciencedata processing
Schlüsselbegriffe
Aufforderung zur Vorschlagseinreichung
FP6-2004-MOBILITY-7
Andere Projekte für diesen Aufruf anzeigen
Finanzierungsplan
IIF - Marie Curie actions-Incoming International FellowshipsKoordinator
LEMPDES
Frankreich