Abstract
Organic electrochemical transistors (OECTs) are transducing devices that, placed in contact with an electrolyte solution, detect the ionic composition of that solution by measuring the channel current $I$ . OECTs enable the streaming of continuously updated zero-to-low latency information and show, therefore, promise for being used as highly efficient biosensors. Nevertheless, apart from simple geometries, decoding such an information may be infeasible. Here, we show how $I$ can be processed to derive a reduced set of two variables that account for most of the information of a system: 1) the modulation $m$ is the current gained by the system compared to its initial value; and 2) the effective time $t_{e}$ is the time over which the response of the system stays above the 65% of its final value. $m$ and $t_{e}$ can be reported in a diagram that is akin to the state space diagrams used in thermodynamics: points in the diagram describe the state of a system at a specific time; trajectories in the diagram describe the time evolution of that system. We show that the total electric charge $Q$ exchanged by the system between two states A and B is independent on the path taken between them. This, in turn, implies that $m$ and $t_{e}$ are state variables of the system. In experiments with Solanum lycopersicum tomato plants, we show how this concept can be used to extract relevant information about a biophysical system without direct knowledge of its internal workings.
Published Version
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