Evidence map›Paper›PMID 42631104›Full record

ArticleACS measurement science au2026

A Sensitive DNA Bowtie Sensor for Calibration-Free Sex Hormone Detection Using Analyte-DNA Conjugates and Multiple Redox Labels.

Asanka Gurukandure, Mainul I Mazumder, Kacey G Ortiz, Amanda S N Kurian, Subramaniam Somasundaram, Rashad R Karimov, Christopher J Easley

Abstract read
In one paragraph

Article in ACS measurement science au, 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

7 authors.

Asanka GurukandureDepartment of Chemistry and Biochemistry, Auburn University, Auburn, Alabama 36849, United States.
Mainul I MazumderDepartment of Chemistry and Biochemistry, Auburn University, Auburn, Alabama 36849, United States.ORCID https://orcid.org/0009-0007-9800-8076
Kacey G OrtizDepartment of Chemistry and Biochemistry, Auburn University, Auburn, Alabama 36849, United States.ORCID https://orcid.org/0000-0003-1824-7485
Amanda S N KurianDepartment of Chemistry and Biochemistry, Auburn University, Auburn, Alabama 36849, United States.
Subramaniam SomasundaramDepartment of Chemistry and Biochemistry, Auburn University, Auburn, Alabama 36849, United States.ORCID https://orcid.org/0000-0002-1064-4358
Rashad R KarimovDepartment of Chemistry and Biochemistry, Auburn University, Auburn, Alabama 36849, United States.ORCID https://orcid.org/0000-0002-6408-7083
Christopher J EasleyDepartment of Chemistry and Biochemistry, Auburn University, Auburn, Alabama 36849, United States.ORCID https://orcid.org/0000-0002-2403-4147

Funding

Synthesis of Partially Saturated Nitrogen Heterocycles Through Stereo- And Regioselective Dearomatization of HeteroarenesR35GM147244 · NIGMS · AUBURN UNIVERSITY AT AUBURN · PI Rashad Rishad Karimov · 2022 to 2026
$1.9M
A nucleic acid nanostructure built through on-electrode ligation for electrochemical detection of proteins, peptides, and small moleculesR01GM138828 · NIGMS · AUBURN UNIVERSITY AT AUBURN · PI EASLEY, CHRISTOPHER J · 2020 to 2023
$1.2M
NIGMS NIH HHS R01 GM138828NIGMS NIH HHS R35 GM147244
6 · The paper itself

Abstract

Using a modular and reconfigurable DNA-based bowtie sensor structure, several advancements in electrochemical (EC) biosensing are reported. Raw current and sensitivity were enhanced up to 13-fold using a novel redox reporter design, where a DNA strand was decorated with five methylene blue molecules (MB

Indexed as

analyte-DNA conjugateselectrochemical sensorsestradiolgeneralizable sensorshuman serumprogesteronetestosterone

Identifiers

PMID42631104
PMCPMC13495459

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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.