Predictive Modeling for Listeria monocytogenes as a ... - jifsan

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Primary Model Growth Curve fitting was generated for each experiment using two different functions as follow: • Baranyi model • Buchanan three-linear phase
Baranyi model y(t) A(t) mµ ⎛ max 1 = + µ − ⎜ e y + o maxA(t) ln 1 m(ymax − m ⎝ e = t + 1 v ⎛ ln⎜ ⎝ −vt e + q 1+ q o o ⎞ ⎟ ⎠ A(t) y −1⎞ ⎟ 0 ) ⎠ where y(t) = ln x(t) with x(t) the cell concentration (CFU/ml) y o = ln x o , y max = ln(x max ), x o being the initial and x max the asymptotic cell concentration, respectively µ max is the maximum specific growth rate (1/h) m is a curvature parameter to characterize the transition from exponential phase and v is the rate of increase of the limiting substrate q, generally assumed to be equal to µ max
Page 1 and 2: Modeling the Antimicrobial Effect o
Page 3 and 4: Listeria monocytogenes • Causes s
Page 5 and 6: Factors Controlling Listeria in smo
Page 7 and 8: Main objectives • To determine th
Page 9 and 10: Effect of Opti.Form 4 on the growth
Page 11 and 12: Introducing the concept of predicti
Page 13 and 14: Levels of predictive models 1- Prim
Page 15 and 16: Objectives (cont.) • To develop s
Page 17: • Bacterial colonies were counted
Page 21 and 22: Curve fitting 20 18 16 • The grow
Page 23 and 24: Future Research • To develop seco

Predictive Modeling for Listeria monocytogenes as a ... - jifsan

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