Difficulty: Easy
Correct Answer: first order chemical reaction
Explanation:
Introduction:Predicting microbial lethality in thermal processes relies on kinetic models that relate time–temperature exposure to survivor counts. For many microorganisms under isothermal conditions, survivor curves are approximately log-linear, leading to first-order kinetics with respect to the number of survivors.
Given Data / Assumptions:
Concept / Approach:First-order death kinetics state dN/dt = -k * N, where N is the number of survivors and k is a temperature-dependent rate constant. The solution N = N0 * exp(-k t) yields a straight line when plotting log(N) vs time, which forms the basis for D-value (time for 1-log reduction) and z-value calculations used in sterilization validation and process design.
Step-by-Step Solution:
1) Assume log-linear survivor curve under constant temperature.2) Write dN/dt = -kN; integrate to N = N0 * e^(-k t).3) Take common logs to define D-value: D = 2.303/k for 90% reduction.4) Use Arrhenius-type temperature dependence to relate k to temperature or z-value relationships between D-values at different temperatures.5) Apply to determine exposure times ensuring required log reductions.Verification / Alternative check:Experimental survivor curves for vegetative cells and many spores approximate straight lines on semi-log plots in the absence of strong protection or tailing, supporting first-order modeling for design purposes.
Why Other Options Are Wrong:
Common Pitfalls:Ignoring deviations such as shoulders/tailing due to clumping or resistant subpopulations; conservative safety factors may be needed in real processes.
Final Answer:first order chemical reaction
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