the handbook of food engineering practice crc press chapter 10 ...

the handbook of food engineering practice crc press chapter 10 ... the handbook of food engineering practice crc press chapter 10 ...

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k i = f (T,a w ,pH, P O2 , P CO2 ...) (42) the values of which are in turn time dependent: T=T(t), a w = a w (t), pH=pH(t), P O2 = P O2 (t), P CO2 = P CO2 (t) (43) The functions of (32) incorporate the effects of storage conditions, packaging method and materials and biological activity of the system. Thus for variable conditions the rate constant is overall a function of time, i.e. k i =k i (t). In that case the quality function value at certain time is given by the expression t Q i (A i ) = ⌡ ⌠k i dt (44) 0 If the lower acceptable value of the quality parameter A i , noted as A m is known then at time t the consumed quality fraction, Φc i , and the remaining quality fraction, Φr i , are defined as: Φc i = Q i(A i )-Q i (A o ) Q i (A m )-Q i (A i ) (45) Φr i = Q i(A m )-Q i (A i ) Q i (A m )-Q i (A o ) (46) Knoweledge of the value of Φr i for the different deterioration modes allows the calculation of the remaining shelf life of the food, θ r , from the expression θ r = min [ Φr i /k i ] (47) where the rate constants k i are calculated for an assumed set of "remaining" constant conditions. The above analysis sets the foundations of shelf life prediction of a complex system under variable conditions. The major tasks in a scheme like this, is recognition of the major deterioration modes, determination of the corresponding quality functions and estimation of Eq.(42) i.e. the effects of different factors on the rate constant. The latter is a difficult task for real food systems. Most actual studies concern the effect of temperature 42

and variable temperature conditions, with the expressed (or implied) assumption that the other factors are constant. Controlled temperature functions like square, sine, and linear (spike) wave temperature fluctuations can be applied to verify the Arrhenius model, developed from several constant-temperature shelf life experiments . Labuza (1984) gives analytical expressions for Eq. (44) for the above temperature functions using the Q 10 approach. Similarly solutions can be given using the Arrhenius or square root models. To systematically approach the effect of variable temperature conditions the concept of effective temperature, T eff , can be introduced. T eff is a constant temperature that results in the same quality change as the variable temperature distribution over the same period of time. T eff is characteristic of the temperature distribution and the kinetic temperature dependence of the system. The rate constant at T eff is analogously termed effective rate constant, and Q i (A i ) of Eq.(44) is equall to k eff t. If T m and k m are the mean of the temperature distribution and the corresponding rate constant respectively, the ratio Γ is also characteristic of the temperature distribution and the specific system, where Γ= k eff k m (48) For some known characteristic temperature functions shown in Fig.8 analytical expressions for the Q 10 and Arrhenius models are tabulated in Table 5. 43

k i = f (T,a w ,pH, P O2 , P CO2 ...) (42)<br />

<strong>the</strong> values <strong>of</strong> which are in turn time dependent:<br />

T=T(t), a w = a w (t), pH=pH(t), P O2 = P O2 (t), P CO2 = P CO2 (t) (43)<br />

The functions <strong>of</strong> (32) incorporate <strong>the</strong> effects <strong>of</strong> storage conditions, packaging<br />

method and materials and biological activity <strong>of</strong> <strong>the</strong> system. Thus for variable conditions<br />

<strong>the</strong> rate constant is overall a function <strong>of</strong> time, i.e. k i =k i (t). In that case <strong>the</strong> quality function<br />

value at certain time is given by <strong>the</strong> ex<strong>press</strong>ion<br />

t<br />

Q i (A i ) = ⌡ ⌠k i dt (44)<br />

0<br />

If <strong>the</strong> lower acceptable value <strong>of</strong> <strong>the</strong> quality parameter A i , noted as A m is known<br />

<strong>the</strong>n at time t <strong>the</strong> consumed quality fraction, Φc i , and <strong>the</strong> remaining quality fraction, Φr i ,<br />

are defined as:<br />

Φc i = Q i(A i )-Q i (A o )<br />

Q i (A m )-Q i (A i ) (45)<br />

Φr i = Q i(A m )-Q i (A i )<br />

Q i (A m )-Q i (A o ) (46)<br />

Knoweledge <strong>of</strong> <strong>the</strong> value <strong>of</strong> Φr i for <strong>the</strong> different deterioration modes allows <strong>the</strong> calculation<br />

<strong>of</strong> <strong>the</strong> remaining shelf life <strong>of</strong> <strong>the</strong> <strong>food</strong>, θ r , from <strong>the</strong> ex<strong>press</strong>ion<br />

θ r = min [ Φr i /k i ] (47)<br />

where <strong>the</strong> rate constants k i are calculated for an assumed set <strong>of</strong> "remaining" constant<br />

conditions.<br />

The above analysis sets <strong>the</strong> foundations <strong>of</strong> shelf life prediction <strong>of</strong> a complex<br />

system under variable conditions. The major tasks in a scheme like this, is recognition <strong>of</strong><br />

<strong>the</strong> major deterioration modes, determination <strong>of</strong> <strong>the</strong> corresponding quality functions and<br />

estimation <strong>of</strong> Eq.(42) i.e. <strong>the</strong> effects <strong>of</strong> different factors on <strong>the</strong> rate constant. The latter is a<br />

difficult task for real <strong>food</strong> systems. Most actual studies concern <strong>the</strong> effect <strong>of</strong> temperature<br />

42

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