Award details

Statistical Computing and Data Analysis

Reference	BBS/E/F/04211225
Principal Investigator / Supervisor	Professor E K Kemsley
Co-Investigators / Co-Supervisors
Institution	Quadram Institute Bioscience
Department	Quadram Institute Bioscience Department
Funding type	Research
Value (£)	455,257
Status	Completed
Type	Institute Project
Start date	01/04/2000
End date	01/04/2004
Duration	48 months

Abstract

This project concerns the development of mathematical methods for addressing a range of problems of current or future interest at IFR and beyond. A common difficulty across all Themes is the analysis and interpretation of large and complex data sets, generated by a range of experimental techniques, from physical and biological methods to consumer preference and sensory data. For example, there is interest in developing rapid automated instrumental methods for the chemical profiling of selected foods, and using these profiles to study variability in raw materials due to seasonal or geographic factors, or chemical and biochemical changes associated with processing, ripening or maturing. There is also interest in examining the relationships between such profiles and the results of sensory tests carried out on the same specimens, for example by consumers, experts or trained panels: can we use the profiles, and their chemical interpretations, as objective predictors of sensory properties

Summary

unavailable

Committee	Closed Committee - Agri-food (AF)
Research Topics	X – not assigned to a current Research Topic
Research Priority	X – Research Priority information not available
Research Initiative	X - not in an Initiative
Funding Scheme	X – not Funded via a specific Funding Scheme

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