用新算法1秒内完成高粘液体电化学测量，提速超10倍。
Chronoamperometry with Room-Temperature Ionic Liquids: Sub-Second Inference Techniques
- 基于初始电流瞬态建立回归模型，快速推算稳态参数。
- 测量时间压缩至1秒内，误差在可接受范围内。
- 适合需要快速检测的传感器与电池研究场景。
恒电流伏安法（CA）是定量氧化还原物质的基础电化学技术。然而，在室温离子液体（RTILs）中，高粘度和慢传质常导致测量时间过长。本文提出一种新型数学回归方法，将CA测量窗口缩短至1秒以内，显著快于以往1-4秒或更久的方法。通过分析初始瞬态电流响应，该算法无需硬件改动即可准确预测稳态电化学参数。经标准方法对比验证，本方法在大幅缩短数据采集时间的同时保持合理精度。该技术在分析化学、传感器及电池科学中具有重要应用价值，尤其适用于需快速多路并行测量的嗅觉与电化学分析。
原文摘要 · Abstract (English)
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.
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