Evidence map›Paper›PMID 28391695›Full record

ArticleLangmuir : the ACS journal of surfaces and colloids2017

Simulation-Based Approach to Determining Electron Transfer Rates Using Square-Wave Voltammetry.

Philippe Dauphin-Ducharme, Netzahualcóyotl Arroyo-Currás, Martin Kurnik, Gabriel Ortega, Hui Li, Kevin W Plaxco

Abstract read
In one paragraph

Article in Langmuir : the ACS journal of surfaces and colloids, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed
2.8field-weighted citation impact, top 9% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

19 citing papers in PubMed, 69 citations in OpenAlex.

  1. Review
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  3. Article
  4. Modular DNA origami-based electrochemical detection of DNA and proteins.Proceedings of the National Academy of Sciences of the United States of America · 2025
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  15. Electrochemical Studies of Cation Condensation-Induced Collapse of Surface-Bound DNA.Langmuir : the ACS journal of surfaces and colloids · 2019
    Article
  16. Article
  17. Article
  18. Article
  19. Quantitative measurements of protein-surface interaction thermodynamics.Proceedings of the National Academy of Sciences of the United States of America · 2018
    Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors at 1 institution in 1 country.

Philippe Dauphin-DucharmeORCID 0000-0002-0490-7115
Netzahualcóyotl Arroyo-CurrásORCID 0000-0002-2740-6276
Martin Kurnik
Gabriel OrtegaCIC bioGUNE , Bizkaia Technology Park, Building 801 A, 48170 Derio, Spain.
Hui Li
CIC bioGUNE · ES

Funding

A new approach to quantitative, point-of-care serologyR01AI107936 · NIAID · UNIVERSITY OF CALIFORNIA SANTA BARBARA · PI PLAXCO, KEVIN W · 2014 to 2017
$1.4M
NIAID NIH HHS R01 AI107936
6 · The paper itself

Abstract

The efficiency with which square-wave voltammetry differentiates faradic and charging currents makes it a particularly sensitive electroanalytical approach, as evidenced by its ability to measure nanomolar or even picomolar concentrations of electroactive analytes. Because of the relative complexity of the potential sweep it uses, however, the extraction of detailed kinetic and mechanistic information from square-wave data remains challenging. In response, we demonstrate here a numerical approach by which square-wave data can be used to determine electron transfer rates. Specifically, we have developed a numerical approach in which we model the height and the shape of voltammograms collected over a range of square-wave frequencies and amplitudes to simulated voltammograms as functions of the heterogeneous rate constant and the electron transfer coefficient. As validation of the approach, we have used it to determine electron transfer kinetics in both freely diffusing and diffusionless surface-tethered species, obtaining electron transfer kinetics in all cases in good agreement with values derived using non-square-wave methods.

Indexed as

ElectronsElectron TransportKinetics

Identifiers

PMID28391695
PMCPMC5660319
OpenAlexW2604725251

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.