Modeling and predicting inactivation of Escherichia coli under isobaric and dynamic high hydrostatic pressure

Buzrul, Sencer

doi:10.1016/j.ifset.2009.03.005

Cited by 14 publications

(10 citation statements)

References 22 publications

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“…Pressurization with a holding time

10 min was used since long processing times should be avoided for realistic commercial HHP, as discussed above. A total of 49 dose-response curves were obtained depending upon the microbial inactivation data selection criteria mentioned above; data were taken either from the tables presented or digitized from the figures using a software program (WinDIG 2.5; written by Mr. Dominique Lovy, Geneva, Switzerland), which was also used in other studies [ 17 , 18 , 19 ].…”

Section: The Methodologymentioning

confidence: 99%

Evaluation of Different Dose-Response Models for High Hydrostatic Pressure Inactivation of Microorganisms

Buzrul

2017

Foods

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Modeling of microbial inactivation by high hydrostatic pressure (HHP) requires a plot of the log microbial count or survival ratio versus time data under a constant pressure and temperature. However, at low pressure and temperature values, very long holding times are needed to obtain measurable inactivation. Since the time has a significant effect on the cost of HHP processing it may be reasonable to fix the time at an appropriate value and quantify the inactivation with respect to pressure. Such a plot is called dose-response curve and it may be more beneficial than the traditional inactivation modeling since short holding times with different pressure values can be selected and used for the modeling of HHP inactivation. For this purpose, 49 dose-response curves (with at least 4 log10 reduction and ≥5 data points including the atmospheric pressure value (P = 0.1 MPa), and with holding time ≤10 min) for HHP inactivation of microorganisms obtained from published studies were fitted with four different models, namely the Discrete model, Shoulder model, Fermi equation, and Weibull model, and the pressure value needed for 5 log10 (P5) inactivation was calculated for all the models above. The Shoulder model and Fermi equation produced exactly the same parameter and P5 values, while the Discrete model produced similar or sometimes the exact same parameter values as the Fermi equation. The Weibull model produced the worst fit (had the lowest adjusted determination coefficient (R2adj) and highest mean square error (MSE) values), while the Fermi equation had the best fit (the highest R2adj and lowest MSE values). Parameters of the models and also P5 values of each model can be useful for the further experimental design of HHP processing and also for the comparison of the pressure resistance of different microorganisms. Further experiments can be done to verify the P5 values at given conditions. The procedure given in this study can also be extended for enzyme inactivation by HHP.

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“…Pressurization with a holding time

Section: The Methodologymentioning

confidence: 99%

Evaluation of Different Dose-Response Models for High Hydrostatic Pressure Inactivation of Microorganisms

Buzrul

2017

Foods

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“…A large proportion of S. typhimurium isolates are resistant to multiple antimicrobial drugs; 39 % were resistant to one or more drugs and 23 % had a five-drug resistance pattern characteristic (CDC 2006). E. coli is harmless, but some serotypes are pathogenic; among them, enterohaemorrhagic strain E. coli O157:H7, which can cause gastrointestinal disorders such as: bloody diarrhoea, cramping and abdominal pain and the infectious Bhemolytic uremic syndrome,^and has been increasingly involved in food poisoning outbreaks (Buzrul 2009;Fijalkowski et al 2014). E. coli is accountable for neonatal meningitis and pneumonia infection (Dobrindt and Hacker 2008).…”

Section: Pathogenic Bacteria In Clinical Wastesmentioning

confidence: 99%

Supercritical Carbon Dioxide as Non-Thermal Alternative Technology for Safe Handling of Clinical Wastes

et al. 2015

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The expansions of communities and cities over the last two decades have led to the increase of the number of health care facilities, and thus, clinical wastes are generated in significant amounts. Clinical wastes are a potential source for many pathogens such as viruses, parasites, fungi and bacteria. Therefore, clinical wastes should be treated before disposal into the environment. The incineration is the most common technology applied for the treatment process. However, the negative effects of incineration on humans and the environment have led scientists to define alternative technologies for the safe disposal of clinical waste. Numerous treatment technologies have been investigated as an alternative for incineration, such as autoclave and microwave. These technologies generally depend on temperature while the recent direction is to use a non-thermal sterilization processes. SC-CO 2 is one of the nonthermal sterilization technologies, which depends on pressure and low temperature. Currently, SC-CO 2 has been extensively used for the inactivation of microorganisms in food and pharmaceutical industries. However, the application of SC-CO 2 in treating clinical wastes has been on a rise. Studies conducted on the inactivation of fungi in food, normal saline and growth media indicate that SC-CO 2 has the ability to inactivate these organisms. In clinical wastes, SC-CO 2 has been found to be effective in the inactivation of pathogenic bacteria. Therefore, this review paper focuses on the potential of using SC-CO 2 as alternative technology for inactivating fungi in clinical wastes.

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“…For an isobaric HHP process, with neglected temperature variation and following the Weibull kinetics, the corresponding survival curves can be described by the following equation (Buzrul, 2009;Peleg & Cole, 1998):…”

Section: The Weibull Modelmentioning

confidence: 99%

Estimating microbial survival parameters under high hydrostatic pressure

Chen

Campanella

Barbosa‐Cánovas

2012

Food Research International

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Modeling and predicting inactivation of Escherichia coli under isobaric and dynamic high hydrostatic pressure

Cited by 14 publications

References 22 publications

Evaluation of Different Dose-Response Models for High Hydrostatic Pressure Inactivation of Microorganisms

Evaluation of Different Dose-Response Models for High Hydrostatic Pressure Inactivation of Microorganisms

Supercritical Carbon Dioxide as Non-Thermal Alternative Technology for Safe Handling of Clinical Wastes

Estimating microbial survival parameters under high hydrostatic pressure

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