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KMID : 0380620170490030274
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Korean Journal of Food Science and Technology
2017 Volume.49 No. 3 p.274 ~ p.278
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Development of a predictive model describing the growth of Staphylococcus aureus in processed meat product galbitang
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Son Na-Ry
Kim An-Na
Choi Won-Seok
Yoon Sang-Hyeon
Suh Soo-Hwan
Joo In-Sun
Kim Soon-Han
Kwak Hyo-Sun
Cho Joon-Il
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Abstract
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In this study, predictive mathematical models were developed to estimate the kinetics of Staphylococcus aureus growth in processed meat product galbitang. Processed meat product galbitang was inoculated with 0.1 mL of S. aureus culture and stored at 4, 10, 20, 37°C. The μmax (maximum specific growth rate) and LPD (lag phase duration) values were calculated. The primary model was used to develop a response surface secondary model. The growth parameters were analyzed using the square root model as a function of storage temperature. The developed model was confirmed by calculating RMSE (Root Mean Square Error) values as statistic parameters. The LPD decreased, but μmax increased with an increase in the storage temperature. At 4, 10, 20 and 37°C, R2 was 0.99, 0.98, 0.99 and 0.99, respectively; RMSE was 0.39. The developed predictive growth model can be used to predict the risk of S. aureus contamination in processed meat product galbitang; hence, it has potential as an input model for the risk assessment.
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KEYWORD
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Staphylococcus aureus, predictive model, processed meat product galbitang
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