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Grant: Discovery Grants Program - Individual

University of Manitoba

$62,000.00

Investigating indentation as a means of evaluating the constitutive properties of biological materials

EF 2011-12

Résumé
Processed foods are wonderfully complex materials where the microstructures created during the various heat, mass and momentum transfer events of food process operations determine the properties of the food. Unravelling this complexity is the key to accurately predicting the quality of novel and conventional foods, and to developing successful nutrient loading strategies for the creation of healthy functional foods. The research of this Discovery grant is focused on studying two important food materials and characterizing their elastic and time-dependent behaviour. Computational techniques will be used to cope with the complexity that time-dependent behaviour adds to analyses of the indentation process of these materials. [Indentation is a technique where a probe is inserted into the surface of a material and the mechanical behaviour of the material is assessed through measurement of force on the probe as it is displaced into the material. It is an ideal method for examining the fragile structures of soft materials such as foods because it circumvents potentially destructive sample preparation procedures, yet it can be used to determine fundamental mechanical properties.] By understanding how to back-extract fundamental mechanical properties from indentation tests, the research will enable indentation to be developed as a simple rapid tool for evaluations of the mechanical properties of biological materials. In addition, a systematic evaluation of the mechanical behaviour of two important classes of food materials possessing a network structure can potentially uncover novel physical phenomena, and so lead to the development of new biological constitutive models. Insights gained from these models on how food quality can be optimized during processing will allow processors to formulate healthier foods that retain the quality attributes of conventional foods, and thereby reduce the incidence of diet-related disease in Canada.
Programme
Discovery Grants Program - Individual
Emplacement
Manitoba, Canada
Type de bénéficiaire
Academia
Type
Grant
Source
NSERC's Awards Data

Tel que publié

Application id
138588-2007
Name nom
Scanlon, Martin
Department département
Food Science
Organization id
19
Institution établissement
University of Manitoba
Province en
Manitoba
Province fr
Manitoba
Country en
CANADA
Country fr
CANADA
Fiscal year exercice financier
2011
Competition year année de concours
2007
Award amount
62000
Program id
RGPIN
Program nane en
Discovery Grants Program - Individual
Program name fr
Programme de subventions à la découverte - individuelles
Group en
Discovery grants programs
Group fr
Programmes de subventions à la découverte
Committee code
3
Committee name en
Plant Biology & Food Science
Committee name fr
Biol vég/sc alimentaire
Area of application code
1209
Area of application group en
Advancement of knowledge
Area of application group fr
Avancement des connaissances
Area of application en
Agriculture
Area of application fr
Agriculture
Research subject code
6103
Research subject group en
Food science and technology
Research subject group fr
Science et technologie de l'alimentation
Research subject en
Food processing, packaging, preservation and storage
Research subject fr
Transformation, conditionnement, conservation et stockage des aliments
Partie
5
Nb partie
5
Application title
Investigating indentation as a means of evaluating the constitutive properties of biological materials
Keyword
NSERC
Application summary
Processed foods are wonderfully complex materials where the microstructures created during the various heat, mass and momentum transfer events of food process operations determine the properties of the food. Unravelling this complexity is the key to accurately predicting the quality of novel and conventional foods, and to developing successful nutrient loading strategies for the creation of healthy functional foods. The research of this Discovery grant is focused on studying two important food materials and characterizing their elastic and time-dependent behaviour. Computational techniques will be used to cope with the complexity that time-dependent behaviour adds to analyses of the indentation process of these materials. [Indentation is a technique where a probe is inserted into the surface of a material and the mechanical behaviour of the material is assessed through measurement of force on the probe as it is displaced into the material. It is an ideal method for examining the fragile structures of soft materials such as foods because it circumvents potentially destructive sample preparation procedures, yet it can be used to determine fundamental mechanical properties.] By understanding how to back-extract fundamental mechanical properties from indentation tests, the research will enable indentation to be developed as a simple rapid tool for evaluations of the mechanical properties of biological materials. In addition, a systematic evaluation of the mechanical behaviour of two important classes of food materials possessing a network structure can potentially uncover novel physical phenomena, and so lead to the development of new biological constitutive models. Insights gained from these models on how food quality can be optimized during processing will allow processors to formulate healthier foods that retain the quality attributes of conventional foods, and thereby reduce the incidence of diet-related disease in Canada.