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

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analysis <strong>of</strong> <strong>the</strong> system <strong>of</strong> differential equations. These parameters can be used to predict<br />

<strong>the</strong> concentration <strong>of</strong> each degradation product as a function <strong>of</strong> time at any temperature.<br />

<strong>10</strong>.2.2.EFFECT OF ENVIRONMENTAL FACTORS<br />

<strong>10</strong>.2.2.1 Temperature<br />

The hi<strong>the</strong>rto outlined approaches to kinetically define a <strong>food</strong> system include<br />

<strong>the</strong> underlying assumption that <strong>the</strong> environmental conditions are constant. A shelf life loss<br />

kinetic model is characteristic not only <strong>of</strong> <strong>the</strong> studied <strong>food</strong> but equally impotantly to <strong>the</strong> set<br />

<strong>of</strong> environmental conditions <strong>of</strong> <strong>the</strong> experiment. These conditions can determine <strong>the</strong> reaction<br />

rates and have to be defined and monitored during kinetic experiments.<br />

Since most enviromental factors do not remain constant <strong>the</strong> next logical step<br />

would be to expand <strong>the</strong> models to include <strong>the</strong>m as variables, especially <strong>the</strong> ones that more<br />

strongly affect <strong>the</strong> reaction rates and are more prone to variations during <strong>the</strong> life <strong>of</strong> <strong>the</strong><br />

<strong>food</strong>. The practical approach is to model <strong>the</strong> effect into <strong>the</strong> apparent reaction rate constant,<br />

i.e. ex<strong>press</strong>ing k <strong>of</strong> eq. (9) as a function <strong>of</strong> E j : k =k(E j ).<br />

Of <strong>the</strong> aforementioned environmental factors namely temperature, relative<br />

humidity, total <strong>press</strong>ure and partial <strong>press</strong>ure <strong>of</strong> different gases, light and mechanical<br />

stresses, <strong>the</strong> factor most <strong>of</strong>ten considered and studied is temperature. This is justifiable<br />

because temperature not only strongly affects reaction rates but is also directly imposed to<br />

<strong>the</strong> <strong>food</strong> externally (direct effect <strong>of</strong> <strong>the</strong> environment), <strong>the</strong> o<strong>the</strong>r factors being at least to<br />

some extent controlled by <strong>the</strong> <strong>food</strong> packaging.<br />

The history <strong>of</strong> <strong>the</strong> fundamental <strong>the</strong>rmodynamic reasoning in developing models<br />

<strong>of</strong> temperature effect on reactions, going back to <strong>the</strong> late nineteenth century with Van't H<strong>of</strong>f<br />

(1884), Hood (1885) and Arrhenius (1889), has been reviewed by Bunher (1974). The<br />

most prevalent and widely used model is <strong>the</strong> Arrhenius relation, derived from<br />

<strong>the</strong>rmodynamic laws as well as statistical mechanics principles where:<br />

18

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