Journal article
Taffit: An Excel Tool for Fitting Tafel Data
ACS measurement science au, Vol.5(4), pp.536-546
07/14/2025
DOI: 10.1021/acsmeasuresciau.5c00038
Appears in UI Libraries Support Open Access
Abstract
Tafel analysis is widely used to characterize electrode kinetics. The technique has found use in electrochemistry, catalysis, materials, and corrosion research. Accurate Tafel analysis is especially critical in comparison of electrocatalysts. However, classical Tafel analysis (CTA) relies on the user’s subjective selection of a linear range in the Tafel plot; dependent on linear regression of the user-selected range, kinetic parameters can vary by orders of magnitude. As use of CTA in the literature grows, a need is identified for more reliable, user-independent Tafel analysis. Here, Taffit, an algorithm constructed in the widely available Microsoft Excel, is presented. Taffit generates a Tafel plot from linear sweep voltammetric data and determines the exchange current density j0, charge transfer coefficient α, and Tafel slopes by closest statistical fit. Comparisons between Taffit and CTA are made for the hydrogen evolution reaction (HER, 2H+ + 2e ⇌ H2) on glassy carbon (GC) and platinum electrodes. Taffit finds log j0 values of −7.2 and −3.9 for GC and Pt under H2 at pH 0, as measured without resistive compensation. This is the first report of j0 for HER on GC. Because algorithmic fitting in the low overpotential region uses both cathodic and anodic branches of the Tafel plot, Taffit has greater precision than CTA. Agreement is also shown between literature values reported by CTA and those obtained by Taffit for HER on metal phosphide and selenide electrocatalysts. The Taffit algorithm substantially reduces subjectivity to improve the accuracy and precision of Tafel analysis.
Details
- Title: Subtitle
- Taffit: An Excel Tool for Fitting Tafel Data
- Creators
- Joshua Coduto - University of IowaJohna Leddy - University of Iowa
- Resource Type
- Journal article
- Publication Details
- ACS measurement science au, Vol.5(4), pp.536-546
- DOI
- 10.1021/acsmeasuresciau.5c00038
- ISSN
- 2694-250X
- eISSN
- 2694-250X
- Publisher
- American Chemical Society
- Language
- English
- Date published
- 07/14/2025
- Academic Unit
- Chemistry
- Record Identifier
- 9984847996202771
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