Award details

Towards improved fermentation consistency using multivariate analysis of process parameters

Reference	BBS/E/F/00041427
Principal Investigator / Supervisor	Professor E K Kemsley
Co-Investigators / Co-Supervisors
Institution	Quadram Institute Bioscience
Department	Quadram Institute Bioscience Department
Funding type	Research
Value (£)	3,045
Status	Completed
Type	Institute Project
Start date	01/09/2002
End date	28/02/2006
Duration	42 months

Abstract

This project concerns multivariate statistical methods applied to process data from industrial-scale beer fermentations. There are a number of primary aims: to characterise natural variability in fermentation performance, as measured by a range of process variates; to develop generic predictive protocols that will provide early indications of deviations from 'acceptable' fermentation behaviour; and to develop models that can predict the duration of fermentations, from multivariate data collected in the period immediately after pitching. Further, the project will explore key raw material and process parameters upstream from fermentation, and seek to model predictively their relationships with fermentation duration.

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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