Despite the successful application of the SSA to FRP, when the system size is large and the number of active radicals is typically very low, the simulation requires a large number of species or reactions to achieve reliable results. This results in exceedingly high computational costs, which limit the practicality of SSA for large-scale or complex systems. Addressing this issue is crucial, as reducing the required number of species or reactions without compromising accuracy would make stochastic simulations more efficient and accessible for broader applications.