4.6 Article

Behavior of Salmonella Typhimurium on Fresh Strawberries Under Different Storage Temperatures and Wash Treatments

期刊

FRONTIERS IN MICROBIOLOGY
卷 9, 期 -, 页码 -

出版社

FRONTIERS MEDIA SA
DOI: 10.3389/fmicb.2018.02091

关键词

Salmonella Typhimurium; strawberry; storage; wash; modeling

资金

  1. Zhejiang Provincial Major Scientific Research Project for Agriculture [ZJNY2017001]
  2. Zhejiang Province Major Program [2015C02041]
  3. National Natural Science Foundation of China [31601392]
  4. International Cooperation Project of Ministry of Science and Technology [2013DFA31450]

向作者/读者索取更多资源

Fresh strawberries are one of the most popular fruits in China and are vulnerable to microbial contamination. In this study, the behavior of Salmonella Typhimurium on fresh strawberries stored at refrigeration and room temperatures, as well as the effectiveness of mild heat wash treatments at 47, 50, and 53 degrees C on bacterial survival was investigated. The modified Gompertz, Huang, log-linear, and Weibull models were used to fit bacterial growth and survival curves under different treatments. A secondary model based on linear regression was developed to describe the effect of washing temperature on the kinetic parameters of S. Typhimurium survival derived from the Weibull model. During 72 h storage, S. Typhimurium on fresh strawberries stored at 4 degrees C was reduced by 1.35 log CFU/g and growth of 5.64 log CFU/g was observed when strawberries were stored at 25 degrees C. Bacterial reductions of 1.22 +/- 0.15, 1.92 +/- 0.06, 2.27 +/- 0.07 log CFU/g were obtained when washing was carried out at 47, 50 and 53 degrees C for 240 s, respectively. The wash temperature was an important parameter for bacterial inactivation and bacterial populations declined significantly in conjunction with washing time (p < 0.05). Warm wash treatments lead the visible color changes of strawberries, showing a slightly darker appearance while acceptable. The goodness-of-fit indices indicated that the log-linear model provided a satisfactory fit to describe the bacterial survival at 4 degrees C. According to the smaller Akaike information criterion (AIC) value, the modified Gompertz model performed slightly better than the Huang model in describing bacterial growth at 25 degrees C. The high adj-R-2 (>= 0.90) and small RMSE (<= 0.22) indicated the Weibull model better described bacterial behavior under mild heat treatments. We found a close linear relationship between wash temperatures and ln k and ln n. These models were validated by independent experimental data and the values of the bias and accuracy factors fell into the acceptable range.

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