Literature DB >> 11934041

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

Paw Dalgaard1, Peter Buch, Steen Silberg.   

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.

Entities:  

Mesh:

Year:  2002        PMID: 11934041     DOI: 10.1016/s0168-1605(01)00670-5

Source DB:  PubMed          Journal:  Int J Food Microbiol        ISSN: 0168-1605            Impact factor:   5.277


  7 in total

Review 1.  Predictive Modeling for Estimation of Bacterial Behavior from Farm to Table.

Authors:  Shigenobu Koseki
Journal:  Food Saf (Tokyo)       Date:  2016-06-17

2.  A random effect multiplicative heteroscedastic model for bacterial growth.

Authors:  Ricardo Cao; Mario Francisco-Fernández; Emiliano J Quinto
Journal:  BMC Bioinformatics       Date:  2010-02-08       Impact factor: 3.169

3.  Development and validation of experimental protocols for use of cardinal models for prediction of microorganism growth in food products.

Authors:  Anthony Pinon; Marcel Zwietering; Louise Perrier; Jeanne-Marie Membré; Benoît Leporq; Eric Mettler; Dominique Thuault; Louis Coroller; Valérie Stahl; Michèle Vialette
Journal:  Appl Environ Microbiol       Date:  2004-02       Impact factor: 4.792

4.  Development of a rapid real-time PCR method as a tool to quantify viable Photobacterium phosphoreum bacteria in salmon (Salmo salar) steaks.

Authors:  Sabrina Macé; Kelthoum Mamlouk; Stoyka Chipchakova; Hervé Prévost; Jean-Jacques Joffraud; Paw Dalgaard; Marie-France Pilet; Xavier Dousset
Journal:  Appl Environ Microbiol       Date:  2013-02-08       Impact factor: 4.792

5.  Cellulose Fibers Enable Near-Zero-Cost Electrical Sensing of Water-Soluble Gases.

Authors:  Giandrin Barandun; Matteo Soprani; Sina Naficy; Max Grell; Michael Kasimatis; Kwan Lun Chiu; Andrea Ponzoni; Firat Güder
Journal:  ACS Sens       Date:  2019-06-05       Impact factor: 7.711

Review 6.  Assessment and Prediction of Fish Freshness Using Mathematical Modelling: A Review.

Authors:  Míriam R García; Jose Antonio Ferez-Rubio; Carlos Vilas
Journal:  Foods       Date:  2022-08-02

7.  The STARTEC Decision Support Tool for Better Tradeoffs between Food Safety, Quality, Nutrition, and Costs in Production of Advanced Ready-to-Eat Foods.

Authors:  Taran Skjerdal; Andras Gefferth; Miroslav Spajic; Edurne Gaston Estanga; Alessandra De Cesare; Silvia Vitali; Frederique Pasquali; Federica Bovo; Gerardo Manfreda; Rocco Mancusi; Marcello Trevisiani; Girum Tadesse Tessema; Tone Fagereng; Lena Haugland Moen; Lars Lyshaug; Anastasios Koidis; Gonzalo Delgado-Pando; Alexandros Ch Stratakos; Marco Boeri; Cecilie From; Hyat Syed; Mirko Muccioli; Roberto Mulazzani; Catherine Halbert
Journal:  Biomed Res Int       Date:  2017-12-04       Impact factor: 3.411

  7 in total

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