Application of artificial neural networks on growth prediction of Staphylococcus aureus in milk

Orawan C., . and Panwadee S., . and Bandit S., . Application of artificial neural networks on growth prediction of Staphylococcus aureus in milk. pp. 415-418. ISSN 2231-7546

Staphylococcus aureus is the most frequently occurring major pathogen of cow mastitis and also predominant species in Staphylococcal food poisoning outbreak. Prediction of S. aureus growth in milk by using artificial neural network (ANN) was investigated. Input parameters consisting of temperature (25-40oC) pH (5-8) shaking speed (50-120 rpm) and initial cell concentration (101 to 104 CFU/ml) were randomly combined to obtain culture conditions. Thirty data sets were used for training and optimization of program learning and 10 data sets were used for ANN prediction. The results exhibited that growth prediction had a relative error at 8.99. Validation was carried out and the relative error was obtained at 10.95. Thus the use of ANN modeling technic can be used to predict bacterial growth in the complex effects of environmental variable conditions in liquid food.

Full text available from: Official URL: http://www.ifrj.upm.edu.my/23%20(01)%202016/(62).p...

Abstract

Staphylococcus aureus is the most frequently occurring major pathogen of cow mastitis and also predominant species in Staphylococcal food poisoning outbreak. Prediction of S. aureus growth in milk by using artificial neural network (ANN) was investigated. Input parameters consisting of temperature (25-40oC) pH (5-8) shaking speed (50-120 rpm) and initial cell concentration (101 to 104 CFU/ml) were randomly combined to obtain culture conditions. Thirty data sets were used for training and optimization of program learning and 10 data sets were used for ANN prediction. The results exhibited that growth prediction had a relative error at 8.99. Validation was carried out and the relative error was obtained at 10.95. Thus the use of ANN modeling technic can be used to predict bacterial growth in the complex effects of environmental variable conditions in liquid food.

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Item Type:	Article
AGROVOC Term:	Staphylococcus aureus
AGROVOC Term:	Neural networks
AGROVOC Term:	Milk
AGROVOC Term:	Foodborne diseases
AGROVOC Term:	Pathogens
AGROVOC Term:	Mastitis
AGROVOC Term:	Food poisoning
AGROVOC Term:	Bacteria
Depositing User:	Ms. Suzila Mohamad Kasim
Last Modified:	24 Apr 2025 06:27
URI:	http://webagris.upm.edu.my/id/eprint/22511

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