Fourth Heat Treatment Workshop August 6, 2003 Sajid Alavi, Ph.D. Assistant Professor Dept. of Grain Science and Industry The life and times of the red.

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Fourth Heat Treatment Workshop August 6, 2003 Sajid Alavi, Ph.D. Assistant Professor Dept. of Grain Science and Industry The life and times of the red flour beetle A dynamic thermal death kinetics model for insect pests

Food microbiology and thermal death kinetics D and z values – thermal death kinetics parameters Bigelow, W.D The logarithmic nature of thermal death time curves. J. Infect. Dis. 29: 528. Stumbo, C.R Thermobacteriology in food processing. Academic Press, New York.

Near-Universal Observation Under constant temperature conditions, mortality of microbial populations is a logarithmic function of time N 0 is the initial number of bacteria, N is the number of bacteria at time of exposure t, D is the logarithmic rate constant or D-value (in minutes or hours). D-value (min) - the time required to obtain one log (tenfold reduction) in the population at a given treatment temperature.

z-value - temperature dependence of D-value T 1 and T 2 are two temperatures ( o C) within an established range, z is the logarithmic constant ( o C), also known as the z-value. z-value ( o C) - increase in temperature required for a tenfold reduction in the D-value; measures the temperature sensitivity of bacterial inactivation kinetics.

Static versus dynamic temperature thermal inactivation models Real-life heat treatment situations involve dynamic time-temperature profiles Heat tolerance of organism to varying heating rates Dynamic insect thermal inactivation model Tang, et al High-temperature-short-time thermal quarantine methods. Postharvest Biology and Technology. 21: Baranyi, et al A combined model for growth and subsequent thermal inactivation of Brochothrix thermospacta. Applied and Environmental Microbiology. 62(3): Van Impe, et al Dynamic mathematical model to predict microbial growth and inactivation during food processing. Applied and Environmental Microbiology. 60:

N = instantaneous insect population N at any time t dt = infinitesimal small increment in time N’ = population at time t-dt Insect population undergoing heat treatment in a dynamic temperature environment, T(t) Dynamic insect thermal inactivation model D ref = D-value at a reference temperature T ref

Shift factor (T shift ) – for quantification of thermal tolerance of insects during heat treatment

insect population versus time data (mortality data) at 42, 46, 50, 54 and 58 o C Development of dynamic model for red flour beetle adult stage (most heat tolerant stage) of red flour beetle (RFB) D-value for each temperature from the time taken for reduction of population from 20 to 2 (one log cycle reduction). N/No versus time plot for RFB adult stage exposed to heat treatment at 58 o C Time (h) Insect population (N/N 0 ) D 58C = 0.33 h

Temperature, T ( o C) D-value (h) Estimated D-values for adult RFB Mahroof, R., Subramanyam, B., and Eustace, D Temperature and relative humidity profiles during heat treatment of mills and its efficacy against Tribolium castaneum (Herbst) life stages. Journal of Stored Products Research. 39:

calculation of z-value Calculation of z-value from estimated D-value vs. temperature data for RFB adult stage. Temperature ( o C) D-value (hr) z-value = 5.8 o C

dynamic thermal death model incorporated into Excel TM spreadsheet Input – initial insect population, N 0 reference D-value (D ref ) at any arbitrary temperature, T ref time – temperature profile of the heat treatment, T(t) z-value for insect species temperature shift factor, T shift Output – surviving insect population at any time, N(t)

Acknowledgments Professor Bhadiraju Subramanyam Rizana Mahroof Dr. Feng Huang Laxminarayan Muktinutalapati

Thank You !