Seven steps to reliable cyclic voltammetry measurements for the determination of double layer capacitance
Dulce M. Morales, Marcel Risch

TL;DR
This paper introduces a comprehensive seven-step protocol for reliably measuring double layer capacitance via cyclic voltammetry, emphasizing measurement settings, data collection, and processing to improve accuracy in electrochemical analysis.
Contribution
It presents a novel, detailed seven-step method for consistent CDL determination and advocates for allometric regression over linear regression, enhancing the reliability of voltammetric measurements.
Findings
Neglecting key procedural aspects causes up to 61% deviation in results.
Allometric regression outperforms linear regression for CDL estimation.
The method improves accuracy and can be applied to various voltammetric analyses.
Abstract
Discovery of electrocatalytic materials for high-performance energy conversion and storage applications relies on the adequate characterization of their intrinsic activity, which is currently hindered by the dearth of a protocol for consistent and precise determination of double layer capacitance (CDL). Herein, we propose a seven-step method that aims to determine CDL reliably by scan rate-dependent cyclic voltammetry. The method considers three aspects that strongly influence the outcome of the analysis: measurement settings, data collection, and data processing. To illustrate the proposed method, two systems were studied: a resistor-capacitor electric circuit and a glassy carbon disk in an electrochemical cell. With these studies it is demonstrated that when any of the mentioned aspects of the procedure are neglected, substantial deviations of the results are observed with…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsElectrochemical Analysis and Applications · Conducting polymers and applications · Fuel Cells and Related Materials
