Award details

Sensing and analysis (one of two projects as a result of a split of one project: 4211225A): the other is 4231769A

Reference	BBS/E/F/00041770
Principal Investigator / Supervisor	Professor E K Kemsley
Co-Investigators / Co-Supervisors
Institution	Quadram Institute Bioscience
Department	Quadram Institute Bioscience Department
Funding type	Research
Value (£)	129,475
Status	Completed
Type	Institute Project
Start date	01/04/2003
End date	31/03/2005
Duration	24 months

Abstract

The main aims of this project are: to establish generic approaches for the analysis of high-dimensional multivariate data; to address pre-processing issues in a range of data types; and to develop sensing technology to meet the food industry¿s need for low-cost, rapid and robust measurement of food quality attributes. In the short term, we will develop methods and tools based upon resampling, for building and validating empirical multivariate models. These will be used to tackle problems such as exploring complex relationships, for example between instrumental and sensory properties of foodstuffs. Another priority is the development of pre-processing and automated algorithms, for handling poorly registered data, or data requiring pre-treatment. Examples include electrophoresis gel images; force-distance curves from mechanical tests; chromatograms; nmr spectra. The long term need is for application to large volumes of observations, ie. automation. Sensing work is focused on novel imaging approaches for rapid analysis of biomaterials. In particular these include the ongoing development of low-cost MRI, and soft-field tomographic approaches (electrical tomography, NIR). In tandem with sensor hardware design is the development of image reconstruction and analysis algorithms, potentially improved by sensor fusion approaches

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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