biostudies-literatureUnknown4(5)Tonn JNCaffeic acid is a polyphenol of critical importance in plants, involved in a variety of physiological processes including lignin formation, cellular growth, stress response, and external signaling. This small molecule also acts as a powerful antioxidant and thus has therapeutic potential for a variety of health conditions. Traditional methods of detecting caffeic acid lack appropriate temporal resolution to monitor real time concentration changes on a subsecond time scale with nM detection limits. Here we report on the first usage of fast-scan cyclic voltammetry with carbon fiber microelectrodes for the detection of caffeic acid. Through the use of flow injection analysis, the optimal waveform for its detection under acidic conditions at a scan rate of 400 V/s was determined to be sawtoothACS measurement science au534-545https://www.ebi.ac.uk/biostudies/studies/S-EPMC11487675biostudies-literatureWaveform Optimization for the <i>In Vitro</i> Detection of Caffeic Acid by Fast-Scan Cyclic Voltammetry.PMC11487675Tonn JNKeithley RBfalseWaveform Optimization for the <i>In Vitro</i> Detection of Caffeic Acid by Fast-Scan Cyclic Voltammetry.Caffeic acid is a polyphenol of critical importance in plants, involved in a variety of physiological processes including lignin formation, cellular growth, stress response, and external signaling. This small molecule also acts as a powerful antioxidant and thus has therapeutic potential for a variety of health conditions. Traditional methods of detecting caffeic acid lack appropriate temporal resolution to monitor real time concentration changes on a subsecond time scale with nM detection limits. Here we report on the first usage of fast-scan cyclic voltammetry with carbon fiber microelectrodes for the detection of caffeic acid. Through the use of flow injection analysis, the optimal waveform for its detection under acidic conditions at a scan rate of 400 V/s was determined to be sawtooth2024-01-01T00:00:00Z2024 Oct2025-04-04T19:45:59.352Z2025-04-04T19:45:59.352ZS-EPMC114876753943096710.1021/acsmeasuresciau.4c00029