Literature DB >> 12927719

Pressure inactivation kinetics of Yersinia enterocolitica ATCC 35669.

Haiqiang Chen1, Dallas G Hoover.   

Abstract

The survival curves of Yersinia enterocolitica ATCC 35669 inactivated by high hydrostatic pressure were obtained at four pressure levels (300, 350, 400, and 450 MPa) in sodium phosphate buffer (0.1 M, pH 7.0) and four pressure levels (350, 400, 450, 500 MPa) in UHT whole milk. Tailing was observed in all the survival curves. A linear model and three nonlinear models were fitted to these data and the performances of these models were compared. The linear regression model for survival curves at four pressure levels had regression coefficients (R2) values of 0.785-0.962 and mean square error (MSE) of 0.265-0.893. A residual plot strongly suggested that a linear regression function was not appropriate as there was strong curvature in the plotted data. The nonlinear regression model using the log-logistic had R2 values of 0.946-0.982 and MSE values of 0.110-0.320. The Weibull model had R2 values of 0.944-0.975 and MSE values of 0.153-0.349. These results indicated that both were better models to describe the pressure inactivation kinetics of Y. enterocolitica in milk and buffer. Among the three nonlinear models studied, the modified Gompertz model produced the poorest fit to data. The number of parameters of the log-logistic model was reduced from four to two so that the model was greatly simplified. The reduced log-logistic model still produced a fit comparable to the full model. Since pressure had no significant effect on the shape factors of the Weibull model at the pressure levels of 300-400 MPa for buffer and 400-500 MPa for milk, models were developed to predict survival curves of Y. enterocolitica at pressures different from the experimental pressures.

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Year:  2003        PMID: 12927719     DOI: 10.1016/s0168-1605(03)00064-3

Source DB:  PubMed          Journal:  Int J Food Microbiol        ISSN: 0168-1605            Impact factor:   5.277


  8 in total

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Journal:  Appl Environ Microbiol       Date:  2010-12-30       Impact factor: 4.792

2.  Lack of correlation between virus barosensitivity and the presence of a viral envelope during inactivation of human rotavirus, vesicular stomatitis virus, and avian metapneumovirus by high-pressure processing.

Authors:  Fangfei Lou; Hudaa Neetoo; Junan Li; Haiqiang Chen; Jianrong Li
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3.  Inactivation of a norovirus by high-pressure processing.

Authors:  David H Kingsley; Daniel R Holliman; Kevin R Calci; Haiqiang Chen; George J Flick
Journal:  Appl Environ Microbiol       Date:  2006-12-01       Impact factor: 4.792

4.  Weibull kinetic modeling and nutritional effects of high-hydrostatic-pressure sterilization of soft-packing boiled bamboo shoots.

Authors:  Long Yuan; Li-Xin Lu; Ya-Li Tang; Chang-Feng Ge
Journal:  Food Sci Biotechnol       Date:  2016-04-30       Impact factor: 2.391

5.  Modeling the effects of sodium chloride, acetic acid, and intracellular pH on survival of Escherichia coli O157:H7.

Authors:  Althea M Hosein; Frederick Breidt; Charles E Smith
Journal:  Appl Environ Microbiol       Date:  2010-11-29       Impact factor: 4.792

6.  Prediction of a required log reduction with probability for Enterobacter sakazakii during high-pressure processing, using a survival/death interface model.

Authors:  Shige Koseki; Maki Matsubara; Kazutaka Yamamoto
Journal:  Appl Environ Microbiol       Date:  2009-02-06       Impact factor: 4.792

7.  Comparison of a fimbrial versus an autotransporter display system for viral epitopes on an attenuated Salmonella vaccine vector.

Authors:  Huaiqing Chen; Dieter M Schifferli
Journal:  Vaccine       Date:  2006-11-16       Impact factor: 3.641

8.  Modelling the Ozone-Based Treatments for Inactivation of Microorganisms.

Authors:  Agnieszka Joanna Brodowska; Agnieszka Nowak; Alina Kondratiuk-Janyska; Marcin Piątkowski; Krzysztof Śmigielski
Journal:  Int J Environ Res Public Health       Date:  2017-10-09       Impact factor: 3.390

  8 in total

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