Non-Linear Modeling and Analysis of Amplifier-Less Potentiostat Architectures
Andrea Sannino, David-Peter Wiens, Maurits Ortmanns, José I. Artigas, Aránzazu Otín
TL;DR
The paper analyzes an amplifier-less potentiostat by first establishing a linear stability framework in which the discrete-time load transfer function and open-loop response reveal two poles, leading to a practical stability limit $K \le K_1$ with $K = g_{\mathrm{m,LSB}} R_{\mathrm{WE}}$ and $K_1 = 1 - e^{-T_s/\tau}$. It validates the model using both Verilog-A time-domain simulations and MATLAB frequency-domain analysis, and provides operating guidance such as a 10-bit DAC ($I_{\mathrm{LSB}} = 10$ nA) with $V_{DD}=1.2$ V and $V_{REF}=0.6$ V to achieve acceptable phase margins under various electrode loads. The nonlinear analysis employs the describing function for the comparator, enabling prediction of limit-cycle amplitude $a$ and frequency $\omega_{LimCyc}$, and showing that the nonlinear model matches time-domain results within about $20\%$. These insights enable digital compensation to mitigate nonlinear-induced measurement uncertainty and improve control of the electrode interface in electrochemical sensing systems.
Abstract
In this article, a previously published amplifier-less potentiostat architecture is further examined. Starting with a linearized model, the impact of the most important parameters is studied taking in account the electrodes-solution electrochemical interface. A detailed model is obtained and thoroughly verified, and recommended operating conditions are given for certain limit load conditions. Then, a more complete non-linear model is developed to take in account the measurement uncertainty introduced by the circuit non-linear components. This non-linear model is compared to a time domain description of the circuit and it is verified that it can predict the non-linear behavior with a precision better than 20%. This result enables the circuit designers to compensate for these effects and ultimately reduce the overall measurement uncertainty.
