  Motivated by investigating multistationarity in biochemical systems, we
address saddle-node bifurcations for chemical reaction networks endowed with
general kinetics. At positive equilibria, we identify structural network
conditions that guarantee the bifurcation behavior, and we develop a method to
identify the proper bifurcation parameters. As a relevant example, we
explicitly provide such bifurcation parameters for Michaelis-Menten and Hill
kinetics. Examples of applications include reversible feedback cycles, the
central carbon metabolism of Escherichia coli, and autocatalytic networks.
