Chronoamperometry with Room-Temperature Ionic Liquids: Sub-Second Inference Techniques
This incremental improvement enables faster multiplexing of chronoamperometric measurements for applications in analytical chemistry, sensor technology, and battery science.
This paper tackles the problem of slow chronoamperometry measurements in room-temperature ionic liquids by introducing a novel mathematical regression approach that reduces measurement windows to under 1 second, significantly faster than the typical 1-4 seconds, while maintaining reasonable accuracy.
Chronoamperometry (CA) is a fundamental electrochemical technique used for quantifying redox-active species. However, in room-temperature ionic liquids (RTILs), the high viscosity and slow mass transport often lead to extended measurement durations. This paper presents a novel mathematical regression approach that reduces CA measurement windows to under 1 second, significantly faster than previously reported methods, which typically require 1-4 seconds or longer. By applying an inference algorithm to the initial transient current response, this method accurately predicts steady-state electrochemical parameters without requiring additional hardware modifications. The approach is validated through comparison with standard chronoamperometric techniques and is demonstrated to maintain reasonable accuracy while dramatically reducing data acquisition time. The implications of this technique are explored in analytical chemistry, sensor technology, and battery science, where rapid electrochemical quantification is critical. Our technique is focused on enabling faster multiplexing of chronoamperometric measurements for rapid olfactory and electrochemical analysis.