Rapid,
simple, and sensitive point-of-care testing (POCT) has attracted
attention in recent years due to its excellent potential for early
disease diagnosis and health monitoring. The flow-through biosensor
design is a candidate for POCT that utilizes the small-sized pores
of a porous membrane as a recognition space where it emits a signal
comparable to that of a conventional enzyme-linked immunosorbent assay
within 35 min of detection time. In this paper, we present a numerical
model for this immunosensing technology to systematically design an
improved recognition system. The model considers mass transfer into
the pore (convection and diffusion), the kinetics between the immobilized
receptor and the target molecule, and the flow conditions, successfully
leading to a bottleneck step (capture of secondary antibody) in sandwich-type
detection. Our simulation results also show that this problem can
be solved by adopting both appropriate receptors and analytical conditions.
Eventually, the requirements to achieve the sensitivity required for
POCT were fulfilled, which will allow for further development of immunosensing
devices for disease detection.