Modeling the inactivation of Escherichia coli O157:H7 on inoculated alfalfa seeds during exposure to ozonated or electrolyzed oxidizing water

R. R. Sharma, A. Demirci, V. M. Puri, L. R. Beuchat, W. F. Fett

Research output: Contribution to journalArticle

8 Scopus citations

Abstract

Alfalfa sprouts contaminated with Escherichia coli O157:H7 and Salmonella have been implicated in a number offoodborne disease outbreaks in recent years. Seeds are attributed to be the main source of contamination for sprouts. Data from studies on the treatment of E. coli O157:H7 inoculated alfalfa seeds with ozonated and electrolysed oxidizing (EO) water were used to develop models for predicting inactivation of the pathogen. Treatment times of 0 to 16 min were used for ozonated water at initial concentrations of 0 to 21 ppm. For EO water treatments, 0 to 19 amperage (A) data at treatment times of 0 to 32 min were used to develop the models. A modified Monod model for bacterial death kinetics was developed by integrating the rate constant (k) as a Lorentzian function of treatment time (t). Regression constants for the Lorentzian function were determined at various ozone concentrations (ppm) or A. Validation showed that the model was an effective predictor at ozone concentrations below 8 ppm. As a second method, a response surface model (RSM) was utilized for which an RSM regression was performed between observed log10N/No and ppm (ozone) or A (EO water) and treatment time. A quadratic equation involving linear, quadratic, and interaction terms of the influencing parameters represented the model for ozonated and EO water treatments. The models were validated by back predicting log10N/No values. Although numerous other factors influence the accuracy of prediction of the models, these models can be useful tools to researchers and regulators for the development of improved seed sanitizing guidelines by facilitating assessment of efficacy of a treatment and enhancing food safety.

Original languageEnglish (US)
Pages (from-to)173-181
Number of pages9
JournalTransactions of the American Society of Agricultural Engineers
Volume47
Issue number1
StatePublished - Jan 2004

All Science Journal Classification (ASJC) codes

  • Agricultural and Biological Sciences (miscellaneous)

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