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Development of a predictive model describing the growth of Staphylococcus aureus in processed meat product galbitang
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식육추출가공품 중 갈비탕에서의 Staphylococcus aureus 성장예측모델 개발

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Type
Academic journal
Author
Na-Ry Son (식품의약품안전처) An-Na Kim (식품의약품안전처) Won-Seok Choi (식품의약품안전처) Sang-Hyun Yoon (식품의약품안전처) Soo-Hwan Suh (식품의약품안전처) In-Sun Joo (식품의약품안전처) Soon-Han Kim (식품의약품안전처) Hyo-Sun Kwak (식품의약품안전처) Joon-Il Cho (식품의약품안전처)
Journal
Korean Society of Food Science and Technology Korean journal of food science and technology Vol.49 No.3 KCI Accredited Journals SCOPUS
Published
2017.6
Pages
274 - 278 (5page)

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Development of a predictive model describing the growth of Staphylococcus aureus in processed meat product galbitang
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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℃. The μ<SUB>max</SUB> (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 μ<SUB>max</SUB> increased with an increase in the storage temperature. At 4, 10, 20 and 37℃, R<SUP>2</SUP> 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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UCI(KEPA) : I410-ECN-0101-2018-594-000898640