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Journal article

Growth and growth boundary model with terms for melting salts to predict growth responses of Listeria monocytogenes in spreadable processed cheese

From

Research Group for Food Microbiology and Hygiene, National Food Institute, Technical University of Denmark1

National Food Institute, Technical University of Denmark2

Technical University of Denmark3

Arla Foods4

The aim of this study was to develop and validate a growth and growth boundary model with terms for melting salts to predict growth of Listeria monocytogenes in spreadable processed cheese. Cardinal parameter terms for phosphate salts and citric acid were developed in broth studies and used to expand an available growth and growth boundary model.

The expanded model includes the effect of nine environmental factors (temperature, pH, aw, lactic acid, acetic acid, citric acid, orthophosphate, di-phosphate and tri-phosphate). To generate growth data for model evaluation challenge tests with inoculated commercial (n = 10) and customized (n = 10) spreadable processed cheeses were performed.

Evaluation of the new model by comparison of observed and predicted μmax-values resulted in a bias factor of 1.12 and an accuracy factor of 1.33 (n = 42). Prediction of growth and no-growth responses in processed cheese (n = 60) were 89% correct with 11% fail-safe and 0% fail-dangerous predictions. The developed model can be used to support product development, reformulation or risk assessment for spreadable processed cheese.

Language: English
Year: 2019
Pages: 103255
ISSN: 10959998 and 07400020
Types: Journal article
DOI: 10.1016/j.fm.2019.103255
ORCIDs: Martinez Rios, Veronica , Koukou, Ioulia and Dalgaard, Paw

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