Grant: Alliance Grants
University of British Columbia
$86,956.00
A Canadian system for detecting fraudulent honey
EF 2021-22
Résumé
Our ultimate goal is to provide, to Canadian honey producers and regulators, a diagnostic test for detecting fraudulent honey. This test will be able to be used to certify that honey sold in stores is truly honey produced by bees, as well as which region of the world the honey came from. The test will involve measuring a sample using two different analytical methods, then comparing the results of that analysis against a library of thousands of real, confirmed honey samples. The main three components of this test will be: a) the methods for collecting data on a honey sample, b) the library of honeys, and c) the software needed to compare the data to the library. At the end of this project the methods and the software will be usable by any appropriately equipped analytical laboratory.
Programme
Alliance Grants
Bénéficiaire
Emplacement
British Columbia, Canada
Type de bénéficiaire
Academia
Type
Grant
Source
NSERC's Awards Data
Tel que publié
Application id
565215-2021
Name nom
Foster, Leonard
Department département
Biochemistry and Molecular Biology
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
2021
Competition year année de concours
2021
Award amount
86956
Program id
ALLRP
Program name en
Alliance Grants
Program name fr
Subventions Alliance
Group en
Research partnerships programs
Group fr
Programmes de partenariat
Committee code
96
Committee name en
RPP Internal Decision Cttee
Committee name fr
Cté de décision interne - PPR
Area of application code
517
Area of application group en
Manufacturing processes and products
Area of application group fr
Procédés et produits industriels
Area of application en
Consumer goods
Area of application fr
Produits de consommation
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
Installment
inst:1
Partie
1
Nb partie
1
Application title
A Canadian system for detecting fraudulent honey
Keyword
NSERC
Application summary
Our ultimate goal is to provide, to Canadian honey producers and regulators, a diagnostic test for detecting fraudulent honey. This test will be able to be used to certify that honey sold in stores is truly honey produced by bees, as well as which region of the world the honey came from. The test will involve measuring a sample using two different analytical methods, then comparing the results of that analysis against a library of thousands of real, confirmed honey samples. The main three components of this test will be: a) the methods for collecting data on a honey sample, b) the library of honeys, and c) the software needed to compare the data to the library. At the end of this project the methods and the software will be usable by any appropriately equipped analytical laboratory.
