Evidence map›Paper›PMID 42416490›Full record

ArticleACS electrochemistry2026

An Automated Electrochemistry Platform for Accelerating the Characterization of Enzymatic Electrochemistry.

Michael A Pence, Zachary A Nguyen, Luke G Kays, Dylan G Boucher, Joaquín Rodríguez-López, Shelley D Minteer

Abstract read
In one paragraph

Article in ACS electrochemistry, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Michael A PenceMissouri University of Science and Technology, Department of Chemistry and Kummer Institute Center for Resource Sustainability, Rolla, Missouri 65409, United States.ORCID https://orcid.org/0000-0001-5880-9812
Zachary A NguyenUniversity of Utah, Department of Chemistry, Salt Lake City, Utah 84112, United States.ORCID https://orcid.org/0000-0002-1530-4950
Luke G KaysUniversity of Utah, Department of Chemistry, Salt Lake City, Utah 84112, United States.
Dylan G BoucherUniversity of Utah, Department of Chemistry, Salt Lake City, Utah 84112, United States.
Joaquín Rodríguez-LópezUniversity of Illinois Urbana-Champaign, Department of Chemistry and Beckman Institute, Urbana, Illinois 61801, United States.ORCID https://orcid.org/0000-0003-4346-4668
Shelley D MinteerMissouri University of Science and Technology, Department of Chemistry and Kummer Institute Center for Resource Sustainability, Rolla, Missouri 65409, United States.ORCID https://orcid.org/0000-0002-5788-2249

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Enzymatic electrochemistry harnesses the selectivity of enzymes to enable electrochemical applications spanning sensing, synthesis, and energy conversion. However, the sequential nature of electroanalytical experiments limits throughput, restricting the scale at which enzyme-electrode systems can be screened. Here we demonstrate the capabilities of an automated electrochemistry platform, eLab, to increase the throughput of enzymatic electrochemistry investigations. We used the eLab to collect over 10,000 cyclic voltammograms across a large parameter space consisting of two enzyme variants (promiscuous and wild-type glucose oxidase), 20 saccharide substrates, 21 concentrations, and four scan rates, with measurements being made all in triplicate. The expansive dataset enabled rapid identification of apparent outlier behavior of wild-type glucose oxidase toward glucose, which was confirmed to arise from oxygen sensitivity through targeted manual experiments. The promiscuous variant showed negligible oxygen sensitivity, a critical advantage for applications, such as enzymatic sensors, bioelectrosynthesis, and biofuel cells. Overall, this work demonstrates how automation can be applied to accelerate discovery in bioelectrochemistry.

Indexed as

automationcyclic voltammetryenzyme electrochemistryglucose oxidasehigh-throughput

Identifiers

PMID42416490
PMCPMC13339139

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Registered trials

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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.