Predicting the Growth Behavior of Foodborne Pathogenic Bacteria by Real-Time Polymerase Chain Reaction Method

JARQ : Japan Agricultural Research Quarterly
ISSN 00213551
書誌レコードID(総合目録DB) AA0068709X
This review describes the different applications of real-time polymerase chain reaction (PCR) quantification for monitoring, evaluating, and predicting the growth behavior of foodborne pathogenic bacteria in food materials. Real-time PCR has been successfully used to quantify the cell numbers of target pathogenic bacteria from food materials containing high levels of naturally occurring microbial flora and to monitor their growth under a variety of conditions over time. Real-time PCR has higher accuracy than conventional plate count method, which tends to underestimate bacterial viable cell numbers, particularly after high-stress treatments. Owing to its high accuracy, speed, and throughput, real-time PCR is highly recommended as an alternative tool for obtaining microbial growth data for model construction in predictive microbiology. Furthermore, this technique is particularly useful for evaluating levels of bacterial injury following stress exposure as well as other available estimation methods. Real-time PCR quantification has considerable potential for a wide range of applications on a large scale to ensure microbial safety from farm to table, such as supporting the development of the Hazard Analysis and Critical Control Point system.
著者キーワード bacterial growth quantification bacterial injury analysis mathematical models predictive microbiology real-time PCR
公開者 Japan International Research Center for Agricultural Sciences
受付日 2021-10-27
受理日 2022-01-12
言語 eng
備考 In Press