Seafood Spoilage Predictor - development and distribution of a product specific application software

Paw Dalgaard, P. Buch, Steen Silberg

Research output: Contribution to journalJournal articleResearchpeer-review

Abstract

To allow shelf-life prediction of a range of products, the Seafood Spoilage Predictor (SSP) software has been developed to include both kinetic models for growth of specific spoilage microorganisms and empirical relative rates of spoilage models. SSP can read and evaluate temperature profile data of different formats and in this way the software is a flexible device for electronic time-temperature integration. Predicted values of microbial growth and of remaining product shelf life can be exported from SSP as graphs and tables in ASCII, HTML and eXtensible Mark-up Language (XML) formats and this allows SSP to be used in combination with other programmes. More than 300 people have downloaded SSP and distribution of this software from the internet has been efficient in stimulating the application of predictive microbiology and of mathematical seafood shelf-life models within industry, research, seafood inspection and teaching. (C) 2002 Elsevier Science B.V. All rights reserved
Original languageEnglish
JournalInternational Journal of Food Microbiology
Volume73
Issue number2-3
Pages (from-to)343-349
ISSN0168-1605
Publication statusPublished - 2002

Cite this

@article{11e7465f00c84b6bb5263c6c96ddb9d9,
title = "Seafood Spoilage Predictor - development and distribution of a product specific application software",
abstract = "To allow shelf-life prediction of a range of products, the Seafood Spoilage Predictor (SSP) software has been developed to include both kinetic models for growth of specific spoilage microorganisms and empirical relative rates of spoilage models. SSP can read and evaluate temperature profile data of different formats and in this way the software is a flexible device for electronic time-temperature integration. Predicted values of microbial growth and of remaining product shelf life can be exported from SSP as graphs and tables in ASCII, HTML and eXtensible Mark-up Language (XML) formats and this allows SSP to be used in combination with other programmes. More than 300 people have downloaded SSP and distribution of this software from the internet has been efficient in stimulating the application of predictive microbiology and of mathematical seafood shelf-life models within industry, research, seafood inspection and teaching. (C) 2002 Elsevier Science B.V. All rights reserved",
keywords = "Mikrobiologi, hygiejne",
author = "Paw Dalgaard and P. Buch and Steen Silberg",
year = "2002",
language = "English",
volume = "73",
pages = "343--349",
journal = "International Journal of Food Microbiology",
issn = "0168-1605",
publisher = "Elsevier",
number = "2-3",

}

Seafood Spoilage Predictor - development and distribution of a product specific application software. / Dalgaard, Paw; Buch, P.; Silberg, Steen.

In: International Journal of Food Microbiology, Vol. 73, No. 2-3, 2002, p. 343-349.

Research output: Contribution to journalJournal articleResearchpeer-review

TY - JOUR

T1 - Seafood Spoilage Predictor - development and distribution of a product specific application software

AU - Dalgaard, Paw

AU - Buch, P.

AU - Silberg, Steen

PY - 2002

Y1 - 2002

N2 - To allow shelf-life prediction of a range of products, the Seafood Spoilage Predictor (SSP) software has been developed to include both kinetic models for growth of specific spoilage microorganisms and empirical relative rates of spoilage models. SSP can read and evaluate temperature profile data of different formats and in this way the software is a flexible device for electronic time-temperature integration. Predicted values of microbial growth and of remaining product shelf life can be exported from SSP as graphs and tables in ASCII, HTML and eXtensible Mark-up Language (XML) formats and this allows SSP to be used in combination with other programmes. More than 300 people have downloaded SSP and distribution of this software from the internet has been efficient in stimulating the application of predictive microbiology and of mathematical seafood shelf-life models within industry, research, seafood inspection and teaching. (C) 2002 Elsevier Science B.V. All rights reserved

AB - To allow shelf-life prediction of a range of products, the Seafood Spoilage Predictor (SSP) software has been developed to include both kinetic models for growth of specific spoilage microorganisms and empirical relative rates of spoilage models. SSP can read and evaluate temperature profile data of different formats and in this way the software is a flexible device for electronic time-temperature integration. Predicted values of microbial growth and of remaining product shelf life can be exported from SSP as graphs and tables in ASCII, HTML and eXtensible Mark-up Language (XML) formats and this allows SSP to be used in combination with other programmes. More than 300 people have downloaded SSP and distribution of this software from the internet has been efficient in stimulating the application of predictive microbiology and of mathematical seafood shelf-life models within industry, research, seafood inspection and teaching. (C) 2002 Elsevier Science B.V. All rights reserved

KW - Mikrobiologi

KW - hygiejne

M3 - Journal article

VL - 73

SP - 343

EP - 349

JO - International Journal of Food Microbiology

JF - International Journal of Food Microbiology

SN - 0168-1605

IS - 2-3

ER -