Please Note:

The Open Access Repository will be moving to a new authentication system on the 1st of November.

From this date onwards, account holders will be required to login using their University of Tasmania credentials.
If your current repository username differs from your University username, please email E.Prints@utas.edu.au so we can update these details on your behalf.

Due to the change, there will be a short outage of the repository from 9am on the morning of the 1st of November

Open Access Repository

Predictive Microbiology Resarch Capability

Downloads

Downloads per month over past year

Tamplin, ML (2007) Predictive Microbiology Resarch Capability. The Australian Journal of Dairy Technology, 62 (2). pp. 76-77. ISSN 0004-9433

[img] PDF
Tamplin_AJDT_62...pdf | Request a copy
Full text restricted
Available under University of Tasmania Standard License.

Abstract

Predictive microbiology is a field of specialisation within food microbiology that describes the growth, death and survival of micro-organisms through mathematical expressions. Models, the primary products of predictive microbiology research, are being increasingly used by industry food safety and quality managers, as well as risk assessors, to estimate the fate of foodborne micro-organisms under dynamic food handling and processing conditions. They are utilised in Hazard Analysis and Critical Control Points food safety systems, such as to identify critical control points and critical limits, and to delineate potential remedial actions when process deviations occur. Importantly, models are most valuable to risk managers when they have been validated for specific food environments and endorsed by regulatory agencies for making food safety decisions. The value of predictive microbiology research to food industries will increase as models are used for real-time measurements of product safety and quality in complex international supply chains.

Item Type: Article
Keywords: dairy, predictive models
Journal or Publication Title: The Australian Journal of Dairy Technology
Page Range: pp. 76-77
ISSN: 0004-9433
Date Deposited: 29 Feb 2008 01:15
Last Modified: 18 Nov 2014 03:30
Item Statistics: View statistics for this item

Actions (login required)

Item Control Page Item Control Page
TOP