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Grant: Research Tools and Instruments

University of British Columbia

$133,786.00

Inspection of food quality and safety using hyperspectral imaging technique

EF 2016-17

Résumé
Producers, processors and ultimately Canadian consumers stand to benefit from the development of automated, non-destructive, rapid, high-throughput and accurate techniques for on-line inspection of food quality and safety in the food production industry. Continuous process monitoring would enable a producer to maximize the value and minimize the waste when it comes to utilization of raw materials and assurance of production quality; hence, offering consumers with a product of greater nutritional value at a lower cost. High-capacity process monitoring requires non-contact optical techniques, which uses digital imaging and molecular spectroscopy. The applicant's NSERC Discovery Grant, Collaborative Research and Development Grant, and Engage Grant research programs focus on the application of these methodologies for the inspection of food quality and safety. This proposal therefore aims to request for funds to acquire a hyperspectral imaging platform to be used by a team of UBC research groups in Food Science, Chemistry, and Chemical Biological Engineering. This research project in particular will apply spectrochemical and 2D optical image processing to develop a reliable and objective inspection system capable of monitoring food quality and safety in a rapid and non-destructive manner. Availability of such a hyperspectral imaging system will minimize reliance on human inspection of food quality and safety during food production and delivery and establish food external and compositional attributes. Overall, the combination of spectral and imaging information will enable an efficient new mean for the reliable on-line inspection of the quality and safety of fruit and meat. It is expected that the research using the hyperspectral imaging system will provide sufficient information on the normal and abnormal variance in the composition of bulk commodity food items. Furthermore, research in the classification of spectral and morphological materials will provide unique opportunities to train highly qualified personnel in Canada to become leaders with expertise in the application of spectroscopic-based instrumental technologies, both as research tools, and as a mean to complement traditional methods for the determination of food quality and safety.
Programme
Research Tools and Instruments
Emplacement
British Columbia, Canada
Type de bénéficiaire
Academia
Type
Grant
Source
NSERC's Awards Data

Tel que publié

Application id
RTI-2017-00079
Name nom
Lu, Xiaonan
Department département
Land and Food Systems, Faculty of - Land and Food Systems, Faculty of
Organization id
2
Institution établissement
University of British Columbia
Province en
British Columbia
Province fr
Colombie-Britannique
Country en
CANADA
Country fr
CANADA
Fiscal year exercice financier
2016
Competition year année de concours
2017
Award amount
133786
Program id
RTI
Program name en
Research Tools and Instruments
Program name fr
Outils et instruments de recherche
Group en
Discovery grants programs
Group fr
Programmes de subventions à la découverte
Committee code
1602
Committee name en
Biological Systems and Functions (RTI)
Committee name fr
Systèmes et fonctions biologiques (OIR)
Area of application code
100
Area of application group en
Agriculture and primary food production
Area of application group fr
Agriculture et produits alimentaires primaires
Area of application en
Agriculture and primary food production
Area of application fr
Agriculture et produits alimentaires primaires
Research subject code
6101
Research subject group en
Food science and technology
Research subject group fr
Science et technologie de l'alimentation
Research subject en
Food chemistry and analysis
Research subject fr
Chimie alimentaire et analyse
Partie
1
Nb partie
1
Application title
Inspection of food quality and safety using hyperspectral imaging technique
Keyword
NSERC
Application summary
Producers, processors and ultimately Canadian consumers stand to benefit from the development of automated, non-destructive, rapid, high-throughput and accurate techniques for on-line inspection of food quality and safety in the food production industry. Continuous process monitoring would enable a producer to maximize the value and minimize the waste when it comes to utilization of raw materials and assurance of production quality; hence, offering consumers with a product of greater nutritional value at a lower cost. High-capacity process monitoring requires non-contact optical techniques, which uses digital imaging and molecular spectroscopy. The applicant's NSERC Discovery Grant, Collaborative Research and Development Grant, and Engage Grant research programs focus on the application of these methodologies for the inspection of food quality and safety. This proposal therefore aims to request for funds to acquire a hyperspectral imaging platform to be used by a team of UBC research groups in Food Science, Chemistry, and Chemical Biological Engineering. This research project in particular will apply spectrochemical and 2D optical image processing to develop a reliable and objective inspection system capable of monitoring food quality and safety in a rapid and non-destructive manner. Availability of such a hyperspectral imaging system will minimize reliance on human inspection of food quality and safety during food production and delivery and establish food external and compositional attributes. Overall, the combination of spectral and imaging information will enable an efficient new mean for the reliable on-line inspection of the quality and safety of fruit and meat. It is expected that the research using the hyperspectral imaging system will provide sufficient information on the normal and abnormal variance in the composition of bulk commodity food items. Furthermore, research in the classification of spectral and morphological materials will provide unique opportunities to train highly qualified personnel in Canada to become leaders with expertise in the application of spectroscopic-based instrumental technologies, both as research tools, and as a mean to complement traditional methods for the determination of food quality and safety.