Evidence map›Paper›PMID 42328013›Full record

ArticleChem2025

Electrochemical sequencing of sequence-defined ferrocene-containing oligourethanes.

Bipin Pandey, Bharadwaj Muralidharan, Tianmu Ma, Akshi Pant, Matthew Onorato, Kenneth A Johnson, Ananth Dodabalapur, Praveen Pasupathy, Eric V Anslyn

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Chem, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. Review
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

9 authors.

Bipin PandeyDepartment of Chemistry, The University of Texas at Austin, Austin, TX 78712, USA.
Bharadwaj MuralidharanChandra Family Department of Electrical and Computer Engineering, The University of Texas at Austin, Austin, TX 78712, USA.
Tianmu MaDepartment of Chemistry, The University of Texas at Austin, Austin, TX 78712, USA.
Akshi PantDepartment of Chemistry, The University of Texas at Austin, Austin, TX 78712, USA.
Matthew OnoratoDepartment of Chemistry, The University of Texas at Austin, Austin, TX 78712, USA.
Kenneth A JohnsonDepartment of Molecular Biosciences, The University of Texas at Austin, Austin, TX 78712, USA.
Ananth DodabalapurChandra Family Department of Electrical and Computer Engineering, The University of Texas at Austin, Austin, TX 78712, USA.
Praveen PasupathyChandra Family Department of Electrical and Computer Engineering, The University of Texas at Austin, Austin, TX 78712, USA.
Eric V AnslynDepartment of Chemistry, The University of Texas at Austin, Austin, TX 78712, USA.

Funding

Bruker AVANCE III HD 500 MHz NMRS10OD021508 · OD · UNIVERSITY OF TEXAS AT AUSTIN · PI SESSLER, JONATHAN L · 2016 to 2016
$529k
NIH HHS S10 OD021508
6 · The paper itself

Abstract

The growing demand for data storage has driven research into alternative storage media. Although DNA has proven effective, synthetic sequence-defined polymers (SDPs) offer tailored information-encoding potential. Despite advances in SDP chemodiversity, sequencing methods remain limited, primarily relying on tandem mass spectrometry. To address this, we developed an electrochemical sequencing technique for sequence-defined oligourethanes (SDOs), incorporating four ferrocene-based monomers. Our method combines controlled chain-end degradation with differential pulse voltammetry (DPV) to yield unique voltammograms specific to each sequence. Coupled with kinetic modeling and principal component analysis (PCA), this approach enables accurate sequence identification. We automated this process with a Python program that decodes sequences by comparing experimental DPV data to predicted profiles and thereby successfully demonstrated the encoding and decoding of an 11-character password. The technique expands the toolbox for sequencing SDPs and opens new possibilities for molecular data storage.

Identifiers

PMID42328013
PMCPMC13278508

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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.