  Accurate detection of target molecules at low concentrations in the presence
of a high concentration of undesired molecules is a major challenge for End
Point (EP) assays. Non-specific binding of undesired molecules to receptors
limits the minimum detectable concentration of the target significantly.
Dynamic tracking (DT) of binding and unbinding events allows us to overcome
this challenge and provides a remarkable improvement in the minimum detectable
target concentration, as demonstrated recently. In this manuscript, we propose
a novel unconstrained detection scheme which does not rely on a priori
knowledge of the reaction constants. This scheme allows facile back extraction
of various critical sensor parameters as well. Further, through a combination
of theoretical analysis and detailed statistical simulations, we show that DT
sensors could be several orders of magnitude better than $EP$ biosensors. This
work identifies and establishes the functional dependence of critical
parameters on the performance of DT sensors and hence could be of broad
interest to the community towards further optimization.
