Evidence map›Paper›PMID 42748558›Full record

ArticleChemPlusChem2026

A Robust Equivalent Circuit Model for DNA-Mediated Electrochemistry.

Melodee O Seifi, Stephanie Untermeyer, Victoria K Wolf, Akbar Ali, Jason D Slinker

Abstract read
In one paragraph

Article in ChemPlusChem, 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
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0citing papers in PubMed
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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

5 authors.

Melodee O SeifiDepartment of Physics, The University of Texas at Dallas, Richardson, Texas, USA.
Stephanie UntermeyerDepartment of Physics, The University of Texas at Dallas, Richardson, Texas, USA.
Victoria K WolfDepartment of Physics, The University of Texas at Dallas, Richardson, Texas, USA.
Akbar AliDepartment of Physics, The University of Texas at Dallas, Richardson, Texas, USA.ORCID https://orcid.org/0000-0002-2850-2868
Jason D SlinkerDepartment of Physics, The University of Texas at Dallas, Richardson, Texas, USA.ORCID https://orcid.org/0000-0001-7338-586X

Funding

University of Texas at Dallas
6 · The paper itself

Abstract

DNA-mediated electrochemistry is a powerful technique for biosensing and understanding fundamental charge transfer reactions in DNA. Electrochemical impedance spectroscopy (EIS) is a ubiquitous tool for following DNA/RNA hybridization and biosensing with DNA. Despite the broad applicability of these two electrochemical methods, EIS is underutilized in DNA-mediated electrochemistry. Here, we use EIS with equivalent-circuit modeling to develop a robust circuit that represents DNA-mediated electrochemistry with a covalently bound redox probe on chips bearing multiplexed electrodes. This model circuit consistently decomposed into contributions from the working-electrode double layer, the counter electrode interface, and the solution resistance. Subsequently, this model was used to discern rational, statistically significant changes in circuit parameters that occurred upon changing the buffer, reducing the redox probe, and in the absence of DNA. Using the multiplexed chip platform with the EIS model circuit, the influence of single base pair mismatches was investigated relative to fully well-matched controls. EIS analysis revealed that the inclusion of the single base pair mismatch modulates the electrical double-layer resistance between the DNA-modified electrodes. Overall, these results show that impedance-derived interfacial parameters are sensitive to DNA structure, redox state, and the solution environment, providing new insight into the mechanisms governing DNA-mediated electrochemistry.

Indexed as

DNABiosensing TechniquesDielectric SpectroscopyElectrochemical TechniquesElectrochemistryElectrodesOxidation-ReductionDNADNAelectrochemistryelectron transferredox chemistrysurface chemistry

Identifiers

PMID42748558
PMCPMC13581406

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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.