DEVELOPMENT OF A DYNAMIC MODEL TO PREDICT THE FATE OF PATHOGENIC ESCHERICHIA COLI IN DICED CUCUMBER UNDER CHANGING TEMPERATURES

Main Article Content

J. HA
E. PARK
J.S. KIM
J. LEE
S. LEE
S. KIM
Y. CHOI
H. OH
Y. KIM
Y. LEE
Y. SEO
J. KANG
Y. YOON

Keywords

Escherichia coli, cucumber, mathematical model, dynamic model

Abstract

Escherichia coli has been detected in a variety of foods, particularly in salad vegetables, such as diced cucumbers. However, it is difficult to control this pathogen in salad vegetables, because they are consumed without additional preparation or cooking. Thus, the objective of this study was to develop dynamic models to describe the kinetic behavior of E. coli in diced cucumber. The diced cucumber was inoculated with E. coli, and stored at 10°C, 20°C, 25°C, and 30°C; cells counts were then performed using Petrifilm™ plates. The Baranyi model was used to calculate lag phase duration (LPD; h) and maximum specific growth rate (µmax.; log CFU/g/h). These parameters were then fitted to a polynomial model, as a function of temperature, and a subsequent dynamic model was developed in accordance with these primary and secondary models. The performance of the model was evaluated by comparing predicted data with observed data to calculate the root mean square error (RMSE). As temperature increased, LPD decreased, but µmax increased. The secondary model effectively described the temperature effect on LPD and µmax, where R2 equaled 0.972-0.983. In the validation stage, an RMSE value of 0.272 suggested that model performance was appropriate to predict cell counts in diced cucumber, and these predictions remained appropriate under changing temperatures. These results indicate that E. coli can grow rapidly in diced cucumber at high storage temperatures, and present a useful dynamic model for describing the kinetic behavior of E. coli in this vegetable.

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References

Angelo K.M., Chu A., Anand M., Nguyen T.A., Bottichio L., Wise M., Williams I., Seelman S., Bell R., Fatica M., Lance S., Baldwin D., Shannon K., Lee H., Trees E., Strain E. and GieraltowskiL. 2015. Outbreak of Salmonella Newport infections linked to cucumbers -United States, 2014. Morb. Mortal. Wkly. Rep. 64:144-147.

Baranyi J. and Roberts T.A. 1994. A dynamic approach to predicting bacterial growth in food. Int. J. Food Microbiol. 23:277-294.

Bennett S.D., Sodha S.V., Ayers T.L., Lynch M.F., Gould L.H. and Tauxe R.V. 2018. Produce-associated foodborne disease outbreaks, USA, 1998–2013. Epidemiol. Infect. 146:1397-1406.

Callejón R.M., Rodríguez-Naranjo M.I., Ubeda C., Hornedo-Ortega R., Garcia-Parrilla M.C. and Troncoso A.M. 2015. Reported foodborne outbreaks due to fresh produce in the United States and European Union: trends and causes. Foodborne Pathog. Dis. 12:32-38.

Catford A., Kouamé V., Martinez-Perez A., Gill A., Buenaventura E., Couture H. and Farber J.M. 2014. Risk profile on non-O157 verotoxin-producing Escherichia coliin produce, beef, milk and dairy products in Canada. Int. Food Risk Anal. J. 4:21.

Choi Y., Jeong J., Pyun J., Lee H., Kim H.J., Lee J., Kim S., Lee J., Ha J., Choi K. and Yoon Y. 2016. Kinetic behavior of pathogenic Escherichia coli and Staphylococcus aureus in fresh vegetables during storage at constant and changing temperature. J. Bioanal. Biostat. 1:1-6.

Choi Y., Lee S., Lee H., Lee S., Kim S., Lee J., HaJ., Oh H., Lee Y., Kim Y. and YoonY. 2018. Rapid Detection of Escherichiacoliin Fresh Foods Using a Combination of Enrichment and PCR Analysis. Food Sci. Anim. Resour. 38:829-834.

Decraene V., Lebbad M., Botero-Kleiven S., Gustavsson A.M. and Löfdahl M. 2012. First reported foodborne outbreak associated with microsporidia, Sweden, October 2009. Epidemiol. Infect. 140:519-527.

GouldL. H., Mody R.K., Ong K.L., Clogher P., Cronquist A.B., Garman K.N., Lathrop S., Medus C., Spina N.L., Webb T.H., White P.L., Wymore K., Gierke R.E., Mahon B.E. and Griffin P.M. 2013. Increased recognition of non-O157 Shiga toxin–producing Escherichia coliinfections in the United States during 2000-2010: epidemiologic features and comparison with E. coliO157 infections. Foodborne Pathog. Dis. 10:453-460.

Grijspeerdt K. and Vanrolleghem P. 1999. Estimating the parameters of the Baranyi model for bacterial growth. Food Microbiol. 16:593-605.

Ha J., Kim WI., Ryu JG., Lee J., Kim S., Lee H., Lee S. and Yoon Y. 2015. A dynamic model for toxin-producing bacteria on tomatoes. J. Bioanal. Biostat. 1:1-4.

Ha J., Lee J., Lee S., Kim S., Choi Y., Oh H., KimY., Lee Y., Seo Y. and Yoon Y. 2019. Mathematical models to describe the kinetic behavior of Staphylococcus aureus in jerky. Food Sci. Anim. Resour. 39:371-378.

Hedberg C.W., MacDonald K.L. and Osterholm M.T. 1994. Changing epidemiology of food-borne disease: a Minnesota perspective. Clin. Infect. Dis. 18:671-680.

Jang J., Hur H.G., Sadowsky M.J., Byappanahalli M.N., Yan T. and Ishii S. 2017. Environmental Escherichia coli: ecologyand public health implications -a review. J. Appl. Microbiol. 123:570-581.

Kim Y.J., Moon H.J., Lee S.K., Song B.R., Lim J.S., Heo E.J., Park H.J., Wee S.H. and MoonJ. S. 2018. Development and Validation of Predictive Model for Salmonella Growth in Unpasteurized Liquid Eggs. Food Sci. Anim. Resour. 38:442-450.

Kozak G.K., MacDonald D., Landry L. and Farber J.M. 2013. Foodborne outbreaks in Canada linked to produce: 2001 through 2009. J. Food Protect. 76:173-183.

Lee J., Lee H., Lee S., Kim S., Ha J., Choi Y., Oh H., Kim Y., Lee Y., Yoon K.S., Seo K. and Yoon Y. 2019. Quantitative microbial risk assessment for Campylobacter jejuniin ground meat products in Korea. Food Sci. Anim. Resour. 39:565-575.

McKellar R.C. 2001. Development of a dynamic continuous-discrete-continuous model describing the lag phase of individual bacterialcells. J. Appl. Microbiol. 90:407-413.

Nataro J.P. and Kaper J.B., 1998. Diarrheagenic Escherichia coli. Clin. Microbiol. Rev. 11:142-201.

Nguyen V.D., Bennett S.D., Mungai E., Gieraltowski L., Hise K. and Gould L.H. 2015. Increase in multistate foodborne disease outbreaks -United States, 1973–2010. Foodborne Pathog. Dis. 12:867-872.

Olsen S.J., MacKinon L.C., Goulding J.S., Bean N.H. and Slutsker L. 2000. Surveillance for foodborne-disease outbreaks, United States, 1993-1997.

Paterson D.L. 2006. Resistance in gram-negative bacteria: Enterobacteriaceae. Am. J. Infect. Control. 34:S20-S28.

Rahman F. and Noor R. 2012. Prevalence of pathogenic bacteria in common salad vegetables of Dhaka Metropolis. Bangl. J. Bot. 41:159-162.

Ross T. 1999. Predictive Food Microbiology Models in the Meat Industry. Meat and Livestock Australia, North Sydney, Australia. 196.

Stepien-Pysniak D. 2010. Occurrence of gram-negative bacteria in hens' eggs depending on their source and storage conditions. Pol. J. Vet. Sci. 13:507-513.

Vereecken C., Pedersen T.P., Ojala K., Krølner R., Dzielska A., Ahluwalia N., Giacchi M. and Kelly C. 2015. Fruit and vegetable consumption trends among adolescents from 2002 to 2010 in 33 countries. Eur. J. PublicHealth. 25:16-19.

Whiting R.C. and Buchanan R.L. 1997. Development of a quantitative risk assessment model for Salmonella enteritidis in pasteurized liquid eggs. Int. J. Food Microbiol. 36:111-125.

Wirsenius S., Azar C. and Berndes G. 2010. How much land is needed for global food production under scenarios of dietary changes and livestock productivity increases in 2030. Agric. Syst. 103:621-638.

Yoon Y., 2010. Principal theory and application of predictive microbiology. Food Sci. Indust. 43:70-74.