Cell metabolism is able to respond to changes in both internal parameters a
nd boundary constraints. The time any system variable takes to make this re
sponse has relevant implications for understanding the evolutionary optimiz
ation of metabolism as well as for biotechnological applications. This work
is focused on estimating the magnitude of the average time taken by any ob
servable of the system to reach a new state when either a perturbation or a
persistent variation occurs. With this aim, a new variable, called charact
eristic time, based on geometric considerations, is introduced. It is stres
sed that this new definition is completely general, being useful for evalua
ting the response time, even in complex transitions involving periodic beha
vior. It is shown that, in some particular situations, this magnitude coinc
ides with previously defined transition times but differs drastically in ot
hers. Finally, to illustrate the applicability of this approach, a model of
a reaction mediated by an allosteric enzyme is analyzed.