Estimation in real-time affinity-based biosensors

Recently developed real-time affinity-based biosensors are capable of acquiring not only the steady-state data but the entire kinetics of the sensing process. The paradigm shift in data acquisition requires development of optimal detection algorithms. In this paper, molecular binding process is modeled by a stochastic differential equation, and the analyte quantification is performed by finding the solution to a parameter estimation problem. Simulation results indicate feasibility of applying the proposed approach to the target estimation in real-time affinity-based biosensors.