Biosensor Biofouling & Signal Drift: 2D Diffusion-Path Simulator
Interactive 2D companion to the 3D biosensor biofouling simulator: watch a fouling protein shell close in around an implanted electrode, track sensitivity decay on a real Fick's-law diffusion-path curve, and compare true versus reported analyte concentration on a live strip chart as recalibration and sensor replacement are put to the test.
An implanted electrochemical biosensor only reports what actually reaches its electrode, and what reaches the electrode changes the moment it is implanted: adsorbed tissue proteins and a maturing fibrous capsule form a biofouling shell that lengthens the diffusion path analyte molecules must cross. This 2D companion to the 3D biosensor simulator keeps the same real Fick's-law diffusion-path model — the fouling layer's thickness follows a saturating growth curve, and sensitivity decays as its inverse — but renders it as a clean top-down cross-section you can pan and zoom, and adds a live true-vs-reported concentration strip chart with no 3D equivalent, so the slow divergence between what the sensor reports and what is actually in the blood is visible as a graph, not just a percentage. A recalibration only zeroes the current offset rather than reversing the underlying drift, and only replacing the sensor resets the fouling clock to zero.
A 2D top-down companion to the 3D implantable-biosensor biofouling simulator: watch a protein/fibrous-capsule shell close in around an electrode on a real Fick's-law diffusion-path curve, and compare true versus reported analyte concentration on a live strip chart driven by a corrected first-order dosing-pulse model, as recalibration masks drift without reversing it.
2D · HTML5 Canvas 2D · 60 FPS target · runs fully client-side, no install