Predictive Growth Modeling of Listeria monocytogenes in Rice Balls and Its Risk Assessment
المؤلفون المشاركون
المصدر
العدد
المجلد 2020، العدد 2020 (31 ديسمبر/كانون الأول 2020)، ص ص. 1-9، 9ص.
الناشر
Hindawi Publishing Corporation
تاريخ النشر
2020-09-10
دولة النشر
مصر
عدد الصفحات
9
الملخص EN
This study aimed to investigate the growth of Listeria monocytogenes in rice balls and to conduct its microbial risk assessment based on the Korean dietary pattern.
Each tuna or ham rice ball was mixed with mayonnaise, soy sauce, or gochujang, a Korean traditional fermented red peeper paste, which was artificially contaminated with L.
monocytogenes and then stored at 7°C–25°C to assess bacterial growth.
Growth data were analyzed using three primary models (the Huang, Baranyi, and Gompertz models), and the growth pattern was found to fit well to the Baranyi model based on the following five statistical criteria: root mean square error (0.38–0.56), Akaike’s information criterion (−51.55–−26.99), coefficient of determination (0.72–0.97), bias factor (0.97–1.01), and accuracy factor (1.06–1.18).
The effects of temperature on bacterial growth rate and lag time were evaluated using the square root model.
The minimum growth temperature for L.
monocytogenes in tuna or ham rice balls was the lowest when they were mixed with mayonnaise (−9.44°C or −15.37°C, respectively).
Risk assessment using FDA-iRISK showed that tuna or ham rice balls mixed with gochujang exhibited the highest microbial risk among all the rice balls tested, regardless of the storage temperature.
Tuna or ham rice balls mixed with gochujang had the highest disability-adjusted life years per year (0.015) followed by ham rice balls mixed with soy sauce (0.011–0.015) or mayonnaise (0.006–0.015) and then tuna rice balls mixed with soy sauce (0.006–0.008) or mayonnaise (<0.001).
In conclusion, our results, determined using predictive growth models, allow the assessment of potential risk ranking associated with the consumption of rice balls contaminated with L.
monocytogenes based on the number of illnesses experienced per serving and the disease burden.
نمط استشهاد جمعية علماء النفس الأمريكية (APA)
Yeo, Seoungsoon& Kim, Misook. 2020. Predictive Growth Modeling of Listeria monocytogenes in Rice Balls and Its Risk Assessment. Journal of Food Quality،Vol. 2020, no. 2020, pp.1-9.
https://search.emarefa.net/detail/BIM-1184597
نمط استشهاد الجمعية الأمريكية للغات الحديثة (MLA)
Yeo, Seoungsoon& Kim, Misook. Predictive Growth Modeling of Listeria monocytogenes in Rice Balls and Its Risk Assessment. Journal of Food Quality No. 2020 (2020), pp.1-9.
https://search.emarefa.net/detail/BIM-1184597
نمط استشهاد الجمعية الطبية الأمريكية (AMA)
Yeo, Seoungsoon& Kim, Misook. Predictive Growth Modeling of Listeria monocytogenes in Rice Balls and Its Risk Assessment. Journal of Food Quality. 2020. Vol. 2020, no. 2020, pp.1-9.
https://search.emarefa.net/detail/BIM-1184597
نوع البيانات
مقالات
لغة النص
الإنجليزية
الملاحظات
Includes bibliographical references
رقم السجل
BIM-1184597
قاعدة معامل التأثير والاستشهادات المرجعية العربي "ارسيف Arcif"
أضخم قاعدة بيانات عربية للاستشهادات المرجعية للمجلات العلمية المحكمة الصادرة في العالم العربي
تقوم هذه الخدمة بالتحقق من التشابه أو الانتحال في الأبحاث والمقالات العلمية والأطروحات الجامعية والكتب والأبحاث باللغة العربية، وتحديد درجة التشابه أو أصالة الأعمال البحثية وحماية ملكيتها الفكرية. تعرف اكثر